JP2014164530A - Management server, merchandise distribution method and automatic vending machine management system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To much more efficiently perform the replenishment operation of merchandise to an automatic vending machine.SOLUTION: A control part 70 of a management server 24 includes not only a distribution management part 70a and a merchandise management part 70b but also a detection part 70c, a first arithmetic part 70d, a second arithmetic part 70e and a third arithmetic part 70f. The control part 70 extracts an automatic vending machine as the object of replenishment. The control part 70 detects merchandise whose stock turnover rate is the highest among the merchandise of the automatic vending machine as the object of replenishment as specific merchandise. Then, the control part 70 determines the number of replenishment of the other merchandise such that the other merchandise is sold out on a date when the sellout of the specific merchandise replenished until the maximum number of stock is predicted.

Description

  The present invention relates to a management server that manages products of a plurality of vending machines, a product delivery method, and a vending machine management system.

  The vending machine can purchase the specified product by the user specifying the product and paying the specified product. The vending machine is maintained in a state in which products can be sold by a person in charge (rootman) periodically replenishing products and collecting sales. Here, the person in charge visits a large number of target vending machines on a truck or the like on which a product to be replenished is mounted, and replenishes the product and collects sales in order. In addition, an administrator (operator) having a number of vending machines to be managed for replenishing merchandise and collecting sales performs management of the respective vending machines by a plurality of persons in charge. As described above, there are systems described in Patent Document 1 and Patent Document 2 as vending machine management systems used when an operator manages vending machines.

  Patent Document 1 describes a method for making a patrol / replenishment plan for a vending machine using a network and executing the plan. A vending machine managed by a vending machine operator is provided with a communication function, and these automatic Vending machines, vending machine operators, and data centers are connected via a network, and sales performance information acquired by each vending machine is collected via the network to the data center, and the data center predicts the sales of each vending machine based on the sales performance information. In addition, a patrol / replenishment plan based on the sales forecast and the installation location of each vending machine is established and distributed to the vending machine operator via the network. A patrol and replenishment method for a vending machine, characterized by carrying out patrol and replenishment, is described.

  Patent Document 2 also describes an input means for receiving the commodity inventory status of the vending machine through the network, and a point when the replenishment worker reaches any one of the replenishment target areas in the circulation route composed of the replenishment target areas. Based on the product inventory in the product delivery truck at, based on the product inventory status of the vending machines in the patrol route and the replenishment criteria preset for each vending machine, calculate the products to be distributed to the vending machines and the quantity And a vending machine replenishment work support system, characterized in that the vending machine replenishment work support system is provided.

JP 2002-42217 A JP 2008-293262 A

  By managing vending machines using the vending machine patrol and replenishment method described in Patent Document 1, it is possible to extract information on vending machines that require replenishment. It is possible to prevent and improve the accuracy of inventory management of the entire product. Further, as in the vending machine replenishment work support system described in Patent Document 2, the replenishment criteria are used to determine the necessary replenishment number, so that the product can be efficiently replenished. However, there is still room for improvement in the operation of replenishing products to the vending machine. Carrying products to be replenished to vending machines is carried out using vehicles, but from the viewpoint of rationalization of management in response to recent increases in fuel costs, it is necessary to review the work of replenishing products to vending machines. ing.

  The present invention has been made in view of the above, and provides a management server, a product delivery method, and a vending machine management system capable of realizing a more efficient replenishment work of products to a vending machine. It is in.

  In order to solve the above-described problems and achieve the object, the present invention provides product information including information on the vending machine, the number of sales for each product of the vending machine, and the remaining number for each product of the vending machine. , Storing information on an operator who performs the management operation of the product, a replenishment standard for the product of the vending machine, and a maximum stock number for each product, which is the maximum number of products that can be accommodated in the vending machine. Based on the storage unit, the product information, and the replenishment criteria, a specific product that is estimated to have the shortest number of days until sold out among the products of the vending machine extracted as the replenishment target of the product Based on the product information, a detection unit that is detected based on the product information, and a replenishment number of the specific product when the specific product detected by the detection unit is replenished to a maximum stock quantity With the first arithmetic unit A second computing unit that calculates an estimated number of days until the specific product is sold out after replenishing the specific product detected by the detection unit to a maximum stock quantity; and Of each product of the vending machine to be replenished, for each product other than the specific product, the number of replenishments when sold out simultaneously with the specific product is calculated based on the estimated days and the product information, respectively. The third calculation unit, the information on the vending machine to be replenished, the replenishment number of the specific product calculated by the first calculation unit, and each other than the specific product calculated by the third calculation unit Based on the number of products to be replenished and information on workers who perform management operations on the products, each worker assigns a delivery vehicle used for the management operations and the vending machines to be replenished. And having a delivery management unit for constant.

  The present invention is also a product delivery method to be executed by a management server that manages products of a plurality of vending machines, the information on the vending machine, the number of sales for each product of the vending machine, and the vending machine Product information including the remaining number for each product, information on the worker who performs the management operation of the product, replenishment criteria for the product in the vending machine, and the maximum number that can accommodate the product in the vending machine The product information and the replenishment criteria are read from the storage unit storing the maximum stock quantity for each product, and the vending machine to be replenished with the products is extracted based on the read product information and the replenishment criteria. A step of detecting, based on the product information, a specific product that is estimated to have the shortest number of days until sold-out among the extracted products of the vending machine; Calculating the replenishment number of the specific product in the case of replenishment based on the product information, and after replenishing the specific product so as to become the maximum stock quantity, until the specific product is sold out Calculating the estimated number of days based on the product information, and among the products of the replenishment vending machine, each product other than the specific product is sold out simultaneously with the specific product Calculating the replenishment number of the product based on the estimated number of days and the product information, information on the vending machine to be replenished, and information on an operator who performs the replenishment work of the product from the storage unit Read and read information on the vending machine to be replenished, information on the worker who performs the management operation of the product, the number of replenishments of the specific product, and other than the specific product Based on the replenishment number of products, each of said operator characterized in that it comprises the step of determining the assignment of the delivery van and the replenishment object of the vending machine to be used for the management tasks.

Further, the present invention is a vending machine management system comprising a management server that manages products of a plurality of vending machines and an operating device, wherein the management server includes information on the vending machine, Product information including the number of sales for each product and the remaining number for each product of the vending machine, information on the worker who performs the management operation of the product, the replenishment criteria for the product of the vending machine, and the vending machine A vending machine product that is extracted as a replenishment target of the product based on the storage unit that stores the maximum stock quantity for each product that is the maximum number that can contain the product, the product information, and the replenishment criteria. Among them, a detection unit that detects a specific product that is estimated to have the shortest number of days until sold out based on the product information, and the specific product detected by the detection unit is set to have a maximum stock quantity. Supplemented number of the specific items in the case of charging, the first calculation unit for calculating, based on the product information,
A second computing unit that calculates an estimated number of days until the specific product is sold out after replenishing the specific product detected by the detection unit to a maximum stock quantity; and Of each product of the vending machine to be replenished, for each product other than the specific product, the number of replenishments when sold out simultaneously with the specific product is calculated based on the estimated days and the product information, respectively. The third calculation unit, the information on the vending machine to be replenished, the replenishment number of the specific product calculated by the first calculation unit, and each other than the specific product calculated by the third calculation unit Based on the number of products to be replenished and the information of the workers who perform the product management work, each worker decides the allocation between the delivery vehicle used for the management work and the vending machine to be refilled. A delivery management unit, and the operating device is configured to input information on a worker who performs management of the product, information on the vending machine, and replenishment criteria for the product in the vending machine; A communication unit that receives allocation information between a delivery vehicle used for the management work and the vending machine to be replenished by the worker determined by the management server.

FIG. 1 is a schematic diagram showing a schematic configuration of an example of a vending machine management system according to the present invention. FIG. 2 is a block diagram showing a schematic configuration of the vending machine management system shown in FIG. FIG. 3 is an explanatory diagram showing an example of vending machine data. FIG. 4 is an explanatory diagram showing an example of sales data. FIG. 5 is an explanatory diagram showing an example of replenishment history data. FIG. 6 is an explanatory diagram showing an example of remaining number history data. FIG. 7 is a flowchart showing an example of the operation of the vending machine management system. FIG. 8 is an explanatory diagram for explaining the operation of the vending machine management system. FIG. 9 is a flowchart showing an example of the operation of the vending machine management system. FIG. 10 is a flowchart showing an example of the operation of the vending machine management system. FIG. 11 is a flowchart showing an example of the operation of the vending machine management system. FIG. 12 is an explanatory diagram for explaining the operation of the vending machine management system. FIG. 13 is an explanatory diagram for explaining the operation of the vending machine management system. FIG. 14 is a flowchart showing an example of the operation of the vending machine management system. FIG. 15 is a flowchart showing an example of the operation of the vending machine management system. FIG. 16 is a flowchart showing an example of the operation of the vending machine management system. FIG. 17 is a block diagram illustrating a schematic configuration of the management server. FIG. 18 is a flowchart showing processing operations by the management server shown in FIG. FIG. 19 is a flowchart illustrating the flow of the replenishment number determination process according to the second embodiment. FIG. 20 is a diagram illustrating an example of data calculated by the detection unit, the first calculation unit, the second calculation unit, and the third calculation unit in the supplement number determination process according to the second embodiment. FIG. 21 is a diagram illustrating an example of data stored in the supplement number storage unit according to the second embodiment. FIG. 22 is a diagram showing an example of sales and inventory turnover data for each product in the vending machine. FIG. 23 is a flowchart illustrating the flow of the replenishment number determination process according to the third embodiment. FIG. 24 is a diagram illustrating an example of data calculated by the detection unit, the first calculation unit, the second calculation unit, and the third calculation unit in the supplement number determination process according to the third embodiment. FIG. 25 is a diagram illustrating an example of data stored in the supplement number storage unit according to the third embodiment. FIG. 26 is a flowchart illustrating the flow of the replenishment number determination process according to the fourth embodiment. FIG. 27 is a diagram illustrating an example of data calculated by the detection unit, the first calculation unit, the second calculation unit, and the third calculation unit in the supplement number determination process according to the fourth embodiment. FIG. 28 is a diagram illustrating an example of data stored in the supplement number storage unit according to the fourth embodiment. FIG. 29 is a flowchart illustrating the flow of the replenishment number determination process according to the fifth embodiment. FIG. 30 is a flowchart illustrating the flow of the replenishment number determination process according to the fifth embodiment. FIG. 31 is a diagram illustrating an example of data calculated by the detection unit, the first calculation unit, the second calculation unit, and the third calculation unit in the supplement number determination process according to the fifth embodiment. FIG. 32 is a diagram illustrating an example of data stored in the supplement number storage unit according to the fifth embodiment. FIG. 33 is a flowchart showing the flow of processing by the delivery management unit according to the sixth embodiment.

  DESCRIPTION OF EMBODIMENTS Hereinafter, embodiments for carrying out the present invention, which is a technique disclosed by the present application (hereinafter referred to as embodiments), will be described in detail with reference to the drawings. The present invention is not limited to the embodiments described below. In addition, constituent elements in the embodiments described below include those that can be easily assumed by those skilled in the art and those that are substantially the same.

(Embodiment 1)
In Embodiment 1 described below, a vending machine that sells beverages such as soft drinks will be described as an example of a vending machine (vending machine), but an automatic that sells various products other than beverages such as soft drinks. Can be applied to vending machines.

  FIG. 1 is a schematic diagram showing a schematic configuration of an example of a vending machine management system according to the present invention. The vending machine management system 10 is a system that manages a large number of vending machines 14 in a service area 13 that a sales office 12 is in charge of. The vending machine management system 10 acquires information from the vending machine 14, and the worker (routeman) H manages using the delivery vehicle 16 or the delivery vehicle 17 based on the acquired information and the set conditions. The allocation of the vending machines 14 and the number (number) of products to be replenished to each vending machine 14 are calculated. The vending machine management system 10 includes a vending machine 14, a mobile terminal 20, an operating device 22, and a management server 24. The sales office 12 and the delivery vehicles 16 and 17 may be included in the vending machine management system 10, or the vending machine 14 may not be included in the vending machine management system 10. In the present embodiment, the operating device 22 and the management server 24 are separated, but may be integrated. That is, the vending machine management system 10 may use a control device that has both the function of the operating device 22 and the function of the management server 24.

  The sales office 12 is a base point when the worker H and the delivery vehicles 16 and 17 manage the vending machine 14. In the sales office 12, an operating device 22 of the vending machine management system 10 is arranged. The sales office 12 stores products that are transported by the delivery vehicles 16 and 17 and replenished to the vending machine 14. In the present embodiment, one sales office 12 is provided, but the present invention is not limited to this. A plurality of sales offices 12 may be provided. In addition to the sales office 12, a storage base for storing products may be provided. In this case, the worker H can load the goods on the delivery vehicles 16 and 17 at the storage base.

  The service area 13 is an area where there are vending machines 14 to be managed by the sales office 12. That is, this is an area where the sales office 12 provides the management service of the vending machine 14. There may be a vending machine 14 that is not managed in the service area 13, that is, a vending machine 14 managed by another sales office 12.

  The vending machine 14 is a device that provides a user with a product stored in the vending machine 14 when the user pays a fee and specifies the product. The vending machine 14 includes a plurality of columns for storing products, and various products can be provided by adding different products to each column. The vending machine 14 will be described later.

  The delivery vehicles 16 and 17 are vehicles used when the worker H patrols and manages the vending machine 14. The delivery vehicles 16 and 17 are loaded with merchandise by the worker H, and travel around the target vending machine 14 with the merchandise loaded. The delivery vehicle 16 and the delivery vehicle 17 differ only in the standard and performance of the vehicle, are operated by the worker H, used for patrol of the vending machine 14, and are equipped with products. Are the same. The delivery vehicle 16 is a vehicle manufactured for replenishing products to the vending machine 14, a so-called route car, can be loaded with a large amount of products, and a door for taking out products is a normal truck or the like. More are provided. The delivery vehicle 17 is a normal wagon car or the like, and the amount of products that can be mounted is smaller than that of the delivery vehicle 16. In FIG. 1, two delivery vehicles 16 and one delivery vehicle 17 are illustrated, but the number and configuration of delivery vehicles 16 and 17 are not limited thereto. Moreover, the delivery vehicles 16 and 17 can also be borrowed as needed.

  An operator H who drives the delivery vehicles 16 and 17 and visits and manages the vending machine 14 has a portable terminal 20. The portable terminal 20 can acquire information on the vending machine 14 or provide information on products to be replenished to the vending machine 14. The portable terminal 20 will be described later. A plurality of workers H may get on one delivery vehicle 16.

  Next, the configuration of each part of the vending machine management system 10 will be described in more detail with reference to FIG. Here, FIG. 2 is a block diagram showing a schematic configuration of the vending machine management system shown in FIG. As shown in FIG. 2, the vending machine management system 10 includes vending machines 14 a and 14 b, a mobile terminal 20, an operating device 22, and a management server 24. FIG. 2 is a diagram illustrating functions of each unit of the vending machine management system 10, and the numbers of the vending machines 14a and 14b, the portable terminal 20, the operating device 22, and the management server 24 are not limited thereto. . The vending machine management system 10 has a network 28 and is in a state where data can be transmitted and received by each unit via the network 28. The network 28 is a communication network via a public line, and enables communication between devices by transmitting data via a wired or wireless communication line.

  The vending machine 14a includes a control unit 30, a storage unit 32, a short-range communication unit 34, and a communication unit 36. The vending machine 14a has various configurations and functions normally provided in the vending machine, in addition to the control unit 30, the storage unit 32, the short-range communication unit 34, and the communication unit 36.

  The control unit 30 is configured by an arithmetic processing function such as a CPU, and controls the operation of each unit of the vending machine 14a based on input operations and information detected by various sensors. Specifically, the control unit 30 controls a product sales operation, a charge billing operation, a product temperature management operation, a lighting control operation, a data transmission / reception operation via the short-range communication unit 34, the communication unit 36, and the like. To do. The storage unit 32 is composed of a volatile and non-volatile storage medium such as a ROM and a RAM, and stores programs for executing various processes by the control unit 30, charge data for each column, data on the number of sales, and the like. . The near field communication unit 34 communicates with the mobile terminal 20 by near field communication, and transmits and receives data. As the short-range communication, various short-range communication methods such as infrared communication and communication using Bluetooth (registered trademark) can be used. The communication unit 36 transmits / receives data to / from devices having other communication functions via the external network 28. The communication unit 36 of the present embodiment communicates with the management server 24 via the network 28 and transmits sales information, remaining number information (inventory information), replenishment information, and the like. In addition, the communication unit 36 receives data (information) transmitted from the management server 24 or the operating device 22. The vending machine 14a can transmit various information of the own machine by both the short-range communication unit 34 and the communication unit 36.

  The vending machine 14 b includes a control unit 40, a storage unit 42, and a short-range communication unit 44. The vending machine 14b has various configurations and functions normally provided in the vending machine in addition to the control unit 40, the storage unit 42, and the short-range communication unit 44. The basic configuration of the vending machine 14b is the same as that of the vending machine 14a except that the vending machine 14b does not include the communication unit 36, that is, does not include a function of communicating with other devices via the network 28. The vending machine 14b can transmit various information of the own machine by the short-range communication unit 44.

  The portable terminal 20 is a so-called handy terminal, and transmits and receives data to and from the vending machines 14a and 14b by transmitting and receiving data to and from the vending machines 14a and 14b by short-range communication. It is a writing device. The portable terminal 20 includes a control unit 50, a storage unit 52, a short-range communication unit 54, and a communication unit 56. Note that the mobile terminal 20 may include an image display unit, a printing unit, an input unit for inputting operations, and the like for enabling browsing of various types of information.

  The control part 50 is comprised by arithmetic processing functions, such as CPU, and controls operation | movement of each part of the portable terminal 20 based on the input operation and the information detected with various sensors. Specifically, the control unit 50 controls data transmission / reception operations via the short-range communication unit 54 and the communication unit 56, information rewriting operations of the vending machines 14a and 14b, and the like. The storage unit 52 is configured by a volatile and non-volatile storage medium such as a ROM and a RAM, and a program for executing various processes by the control unit 50 and data acquired through communication with the vending machines 14a and 14b ( Data of each column sales number, etc.), data supplied from the operating device 22 and the management server 24 via the network 28 are stored. The near field communication unit 54 communicates with the vending machines 14a and 14b by near field communication, and transmits and receives data. The communication unit 56 transmits / receives data to / from devices having other communication functions via the external network 28. The communication unit 56 of this embodiment communicates with the management server 24 via the network 28 and transmits sales information, remaining number information, supplement information, and the like. The communication unit 56 communicates with the operating device 22 via the network 28 and acquires various setting data.

  The portable terminal 20 is configured as described above. The worker H moves the portable terminal 20 to the vicinity of the vending machines 14a and 14b at the time of management work, performs near field communication with the portable terminal 20, and transmits and receives data. In addition, the worker H communicates with the vending machines 14a and 14b by short-distance communication using the mobile terminal 20, and rewrites various information of the vending machines 14a and 14b to thereby change the vending machines 14a and 14b. Settings (for example, charge for each column, set temperature, operating time, etc.) can be changed.

  The operating device 22 is an information terminal installed in the sales office 12 and includes a control unit 60, a storage unit 62, a display unit 64, an input unit 66, and a communication unit 68. As the operating device 22, a so-called personal computer (PC) can be used. The operating device 22 may have the function of only the vending machine management system 10 or may execute the function of the operating device 22 by executing one software of a personal computer.

  The control unit 60 is configured by a calculation processing function such as a CPU, and controls the operation of each unit and performs various calculations based on the operation input to the input unit 66 and information acquired via the communication unit 68. Specifically, the control unit 60 controls the screen display operation of the display unit 64, the data transmission / reception operation via the communication unit 68, and the like. The storage unit 62 is configured by a volatile and non-volatile storage medium such as a ROM and a RAM. The storage unit 62 includes a program for executing various processes by the control unit 60, data input by the input unit 66, and the management server 24. Data acquired by communication (data on the number of sales of each column of the vending machine, data on the number of remaining columns, data on the number of supplements, etc.) are stored. The display unit 64 is a display device that displays an image such as a liquid crystal display, and displays various screens generated by the control unit 60, such as an operation screen for inputting an operation and various data output based on the input operation. To do. The input unit 66 is an input device such as a mouse, a keyboard, a touch panel, etc., on which an operator or an administrator inputs an operation. The input unit 66 supplies an operation signal based on the input operation to the control unit 60. The communication unit 68 transmits / receives data to / from devices having other communication functions via the external network 28. The communication unit 68 of this embodiment communicates with the management server 24 via the network 28 and receives information necessary for managing the vending machines 14a and 14b. This point will be described later. The communication unit 68 communicates with the management server 24 via the network 28 and receives sales information, remaining number information, supplement information, and the like.

  The operating device 22 is configured as described above. Various conditions and various information for managing the vending machines 14a and 14b in the service area 13 input by the input unit 66 are transmitted from the communication unit 68 via the network 28. It transmits to the management server 24. Further, the operating device 22 receives the work plan information transmitted from the management server 24. The work plan information includes information on which delivery vehicles 16 and 17 the worker H uses, and management work (product replenishment work, charge collection work, etc.) for which vending machines 14a and 14b. Information on which vending machines 14a and 14b the worker H is to perform, and the contents of the products that each worker H replenishes the vending machines 14a and 14b (type and number of products) , The contents (type and number of products) of the products mounted on the delivery vehicles 16 and 17 by each worker H. The operating device 22 causes the display unit 64 to display the work information sent from the management server 24. The operating device 22 transmits work information to the mobile terminal 20 of each worker H as necessary.

  The vending machine management system 10 causes the vending machines 14a and 14b and the operating device 22 to communicate with each other via the network 28 and the portable terminal 20, and transmits information on the vending machines 14a and 14b to the operating device 22. Also good. Further, the operating device 22 may include a printing unit (printer) as information output means.

  Next, the management server 24 will be described with reference to FIGS. 3 to 6 in addition to FIG. FIG. 3 is an explanatory diagram showing an example of vending machine data. FIG. 4 is an explanatory diagram showing an example of sales data. FIG. 5 is an explanatory diagram showing an example of replenishment history data. FIG. 6 is an explanatory diagram showing an example of remaining number history data.

  The management server 24 performs various calculations based on the information transmitted via the network 28 and transmits the information determined via the network 28 to the operating device 22. Moreover, the management server 24 can also manage a plurality of sales offices 12 by one unit. That is, the management server 24 can be a server common to the plurality of vending machine management systems 10. As shown in FIG. 2, the management server 24 includes a control unit 70, a storage unit 72, and a communication unit 76.

  The control unit 70 includes an arithmetic processing function such as a CPU, performs various calculations based on information acquired via the communication unit 76 and information stored in the storage unit 72, and performs calculations via the communication unit 76. The result calculated in this way is transmitted to each unit. The control unit 70 includes a delivery management unit 70a and a product management unit 70b. The control unit 70 has a function of executing various types of control necessary as the management server 24 except for the delivery management unit 70a and the product management unit 70b.

  The delivery management unit 70a performs various calculations based on the information transmitted via the network 28, extracts the vending machines 14a and 14b that perform the management work, and manages the extracted vending machines 14a and 14b. The assignment of the delivery vehicles 16 and 17 used by the worker H who performs the operation or the worker H is determined. In other words, the worker H or the delivery vehicles 16 and 17 used by the worker H determines which vending machine 14a and 14b is to be managed. The delivery management unit 70a transmits the determined assignment to the operating device 22 via the network 28.

  The merchandise management unit 70b performs various calculations based on information transmitted via the network 28, and manages the merchandise held by the vending machines 14a and 14b. Specifically, the merchandise management unit 70b calculates the stay period (the stay days) of the merchandise held by the vending machines 14a and 14b, and sets the merchandise for which the stay period satisfies a predetermined condition to another vending machine. The work to be moved to is determined, or the work for collecting the products whose residence period satisfies a predetermined condition is determined. In addition to or instead of the residence period, the merchandise management unit 70b calculates the sales of the merchandise, adjusts the configuration of the merchandise sold by the vending machines 14a and 14b, and creates a merchandise ordering plan. .

  The storage unit 72 is composed of a volatile and non-volatile storage medium such as a ROM and a RAM. The storage unit 72 includes a program for executing various processes by the control unit 70, the vending machine 14 a, the portable terminal 20, and the operating device 22. Stores data acquired by communication. Here, the storage unit 72 includes sales office data 72a, vending machine (vending machine) data 72b, sales data 72c, replenishment history data 72d, remaining number history data 72e, and a condition table 72f. Note that the various data stored in the storage unit 72 is updated as needed or at predetermined intervals based on information acquired by the communication unit 76 from the outside. The update process is executed by the control unit 70.

  The sales office data 72a is various information related to the sales office 12, for example, information on the position of the sales office 12, the number and configuration of workers H belonging to the sales office 12, the number and configuration of delivery vehicles, and the like. . It should be noted that the configuration of the worker H includes information such as whether the person can perform management work professionally, whether he is a part-time job, or a part. It also includes information on the contents of work that can be performed by each worker, work ability, presence of a driver's license, and the like. The configuration of the delivery vehicle includes information on vehicles (route cars) dedicated to management work, light vans, passenger cars, etc., and information on the weight that can be loaded on each vehicle. The information on the worker H and the delivery vehicle may include the number of persons that can be temporarily accommodated, the number of persons, that is, the number of persons that can be hired by day labor, the number that can be rented by rental car, and the like.

  As shown in FIG. 3, the vending machine data 72 b is data composed of various types of information on the managed vending machine 14 in the service area 13. The vending machine data 72b includes the address of the installation location, the postal code of the installation location, the identification code, information on the product to be put in each column, and the like for each vending machine 14. The identification code is information indicating which area is included in an area obtained by further dividing the same zip code area. In addition, since the number of columns of the vending machine 14 varies depending on the model, a vending machine that does not have a corresponding column as illustrated in FIG. 3 includes a column that does not have information associated with the column. The vending machine data 72b also stores information on the reference number of each column (the number of products held in the column after the replenishment process).

  The sales data 72c is sales data of each vending machine. FIG. 4 is a table showing sales of the first vending machine. The sales data 72c detects and stores the sales data of each managed vending machine. As shown in FIG. 4, the sales data 72c of the present embodiment detects how many items of each column are sold per day and how many items are sold per day (total number of sales) by one vending machine. Saved. Further, in the present embodiment, sales per day are detected, but the detection timing is not limited to this. For example, it may be several hours later or every few days.

  The replenishment history data 72d is data on the history of products replenished to each vending machine. Here, FIG. 5 is a table showing the replenishment history of the first vending machine. The replenishment history data 72d stores the replenishment history data of each managed vending machine. As shown in FIG. 5, the replenishment history data 72d of the present embodiment is how many products in each column are replenished and how many are replenished in one replenishment for one vending machine (total number of replenishments). Is saved. In the first vending machine shown in FIG. 5, the replenishment work (management work) is performed once every few days, but the number of replenishments is not particularly limited. In some cases, replenishment work is performed several times a day. In this case, data for each replenishment operation may be detected as a history, or products replenished on a single day may be detected collectively. In addition, the management server 24 may use the number of actually replenished items detected by the vending machines 14a and 14b as the information on the number of products to be replenished, or the number of replenished items determined by the management server 24 described later. It may be used.

  The remaining number history data 72e is data of the number of products held in each vending machine (not sold and remaining in the vending machine). Here, FIG. 6 is a table showing the number of remaining first vending machines. The remaining number history data 72e detects and stores the remaining number data of each managed vending machine. As shown in FIG. 6, the remaining number history data 72e of the present embodiment indicates how many items of each column remain at the time of detection and how many items remain in one vending machine (total number remaining). Detect and save. In the present embodiment, the remaining number is detected every day, but the detection timing is not limited to this. For example, it may be several hours later or every few days. The remaining number can be calculated by subtracting the number sold in each column calculated from the sales data from the number supplied to each column calculated from the replenishment history data 72d. Also, based on the most recently calculated remaining number, the number supplied to each column from the most recent calculation is calculated from the replenishment history data 72d and added, and the number sold in each column from the most recent calculation Can also be calculated by calculating and subtracting from the sales data. The numbers shown in FIGS. 4 to 6 are examples. Moreover, the detection timing of each data is arbitrary timings.

  The condition table 72f stores conditions used when various operations are performed by the delivery management unit 70a and the product management unit 70b. Specifically, the condition table 72f stores replenishment criteria for each work condition and each calculation condition. The replenishment criterion is a criterion for determining whether or not to perform management work (mainly product replenishment work) on the vending machine. The condition table 72f also stores various conditions for adjusting the replenishment reference. The condition table 72f also stores information on criteria for assigning to which worker and delivery vehicle the vending machine to be managed. The condition table 72f takes out the product held in the vending machine and performs information such as a stay period, which is a reference for moving, information on a reference for specifying the vending machine to which the product is moved, and replacement of the product. Information on the criteria for determining the column is also stored.

  The communication unit 76 transmits / receives data to / from devices having other communication functions via the external network 28. The communication unit 76 of this embodiment communicates with the operating device 22 via the network 28 and receives information necessary for managing the vending machines 14a and 14b. This point will be described later. The communication unit 76 communicates with the vending machines 14a and 14b via the network 28, and receives sales information, remaining number information, replenishment information, and the like.

  Next, processing operations of the vending machine management system 10, mainly the delivery management unit 70a of the management server 24, will be described with reference to FIGS. FIG. 7 is a flowchart showing an example of the operation of the vending machine management system. FIG. 8 is an explanatory diagram for explaining the operation of the vending machine management system.

  The delivery management part 70a acquires the sales information of a vending machine (vending machine) as step S12. Specifically, the delivery management unit 70a calculates the total number of sales for each vending machine from the sales data 72c. Here, in step S12, as the total number of sales, the total number of sales after the most recent product replenishment is calculated.

  In addition, when the delivery management unit 70a extracts a vending machine to be replenished, in the case of a vending machine that acquires sales information by short-range communication, the sales information becomes information before a certain time. For this reason, when the delivery management unit 70a acquires the sales information of the vending machine in step S12, it is preferable to predict the sales from the acquisition time to the determination time and add the sales information to the sales information. Note that the sales may be predicted from the past sales record (that is, the sales data 72c). As described above, the delivery management unit 70a can interpolate the sales information based on the prediction, and can replenish the vending machine 14b that does not include the communication unit with high accuracy.

  After acquiring the sales information in step S12, the delivery management unit 70a determines a replenishment criterion in step S14. The delivery management unit 70a reads and determines the replenishment reference from the condition table 72f.

  When the replenishment criterion is determined in step S14, the delivery management unit 70a extracts vending machines whose total sales (total number) are equal to or greater than the replenishment criterion as replenishment targets in step S16. That is, the delivery management unit 70a extracts vending machines that have sold more than the replenishment reference as vending machines to be replenished with goods (vending machines that perform management work).

  After extracting the replenishment target in step S16, the delivery management unit 70a acquires the position information of the vending machine to be replenished in step S18. Specifically, position information (address, postal code, identification code, etc.) associated with the vending machine to be replenished is read from the vending machine data 72b.

  When the delivery management unit 70a acquires the position information in step S18, the delivery management unit 70a determines allocation of the vending machine to the delivery vehicle in step S20. That is, the association between each delivery vehicle and the vending machine to be replenished is determined, and which delivery vehicle performs the management work of which vending machine. In this embodiment, the vending machine is assigned to the delivery vehicle, but may be assigned to the worker. The delivery management unit 70a of the present embodiment groups the vending machines based on the zip code of the vending machine, and further distributes the vending machines with the zip codes in nearby places so that the same delivery vehicle is in charge. Assign vending machines to cars. Thereby, the delivery management part 70a can allocate the vending machine of a fixed adjacent area to a delivery vehicle. The delivery management unit 70a may assign a vending machine with a postal code included in a predetermined angle range centered on the sales office 12 to one delivery vehicle. Also, the allocation may be performed so that the travel time is uniform based on the ease of movement of the delivery vehicle, for example, whether the main road or the narrow roads are dense. Further, when the vending machine with one zip code is assigned to two delivery vehicles, the delivery management unit 70a determines the delivery vehicle to be assigned using an identification code. Thereby, the area of the same zip code can be appropriately divided and assigned to two areas.

  After determining the assignment in step S20, the delivery management unit 70a creates a list of products to be replenished with each delivery vehicle in step S22. The delivery management unit 70a obtains the reference number of data from the vending machine data 72b, and calculates the number to make each column the reference number from the remaining number of products in each column of the vending machine to be replenished. The number of products to be replenished is used. Thus, by calculating the number of products to be replenished for each column, the number of each product to be replenished to the vending machine can be calculated. In addition, the delivery management part 70a is good also as the number which estimates the number sold from the time of calculation until it actually replenishes goods, and replenishes the number which added the number. Thereby, more suitable replenishment can be performed. The delivery management unit 70a calculates the number of products to be replenished for each vending machine, and summarizes the calculation results for each delivery vehicle, whereby a list of products to be replenished for each delivery vehicle (a list of products to be replenished and the number thereof). Create The list is preferably created for each vending machine, and an item for calculating the total number of items to be replenished to the vending machine in charge for each product is also created. The delivery management unit 70a transmits the information of the created list to the operating device 22, and ends this process.

  An operator who performs management work on the delivery vehicle loads the product on the delivery vehicle based on the list of products to be replenished received by the operating device 22, and then performs management work on each vending machine based on the list. Execute and replenish each column with the number of products listed in the list.

  As described above, the vending machine management system 10 detects and further predicts sales information of a product, extracts a vending machine to be replenished based on the result, and replenishes the extracted vending machine with the product. Thus, an appropriate number of products can be replenished to the vending machine that needs to be replenished. Thereby, a delivery vehicle and an operator can go around the vending machine in the service area 13 efficiently, and work efficiency can be improved.

  Further, by calculating in advance the number to be replenished in the vending machine, it is possible to suppress mounting of more than necessary products on the delivery vehicle. As a result, the number of spare products and the like mounted on the delivery vehicle can be reduced. In other words, since the number of each product can be set to an appropriate number, it is possible to travel a larger number of vending machines with one delivery vehicle.

  Further, as in the present embodiment, after extracting the vending machine to be replenished, by determining the allocation of the delivery vehicle in charge of the vending machine to be replenished, the extracted vending machine is efficiently replenished with goods. be able to. In other words, it is possible to adjust the delivery vehicles and workers who are in charge of replenishment based on the extraction results, so that the work efficiency can be improved compared to the system in which the vending machine in charge is determined in advance. It is also possible to prevent the work from being offset. In addition, since the work can be performed efficiently, the number of workers performing the work and the number of delivery vehicles can be reduced.

  Further, by using the zip code as the position information of the vending machine, the position information can be easily input. In addition, when performing the allocation process, a certain classification can be made based on the zip code, so that the calculation load during the process can be reduced. Further, by using the identification code in addition to the zip code, the position information can be further divided and managed. In addition, even in places where vending machines are concentrated (high-rise buildings, downtowns), the area can be managed efficiently and the allocation can be easily adjusted. The number of units with the same identification code is not particularly limited. For example, the same identification is made for 20 to 30 vending machines in which one delivery vehicle (dedicated vehicle) can replenish goods in one round. A code may be attached.

  For example, in the service area 13 illustrated in FIG. 8, three types of vending machines 102, 104, and 106 having different product configurations are installed in the service area 13. For this reason, if the number of products to be mounted on the delivery vehicle is small, only one of the vending machines 102, 104, and 106 can be mounted. For this reason, it is necessary to assign a delivery vehicle to each type of the vending machines 102, 104, and 106 to perform management work. In this case, three or more delivery vehicles move through the entire service area 13. On the other hand, since the vending machine management system 10 can perform management work with an appropriate number of products mounted, the service area 13 is divided into four allocation areas 110, 112, 114, and 116, respectively. Even if one delivery vehicle is allocated to the allocation areas 110, 112, 114, and 116, the vending machines can be appropriately replenished with goods. Thereby, the movement distance and movement time of one delivery vehicle can be shortened, and the replenishment work can be executed efficiently. In addition, since the number of products mounted on the delivery vehicle does not increase more than necessary, the load on the delivery vehicle during movement can be reduced, and the fuel consumption can be improved. Further, since the allocation areas 110, 112, 114, and 116 can be adjusted according to the number of vending machines to be replenished, it is possible to suppress the replenishment work from being delayed only in one area of the allocation areas 110, 112, 114, and 116. .

  Here, when setting an allocation area, it is preferable to adjust based on a basic delivery area. Specifically, priority is given to the minimum delivery unit area (for example, the area where 10 vending machines are minimized, the postal code area, and the identification code area) with the basic delivery area as the center, and information on the priority order. Based on the above, it adjusts with the delivery vehicle to which the adjacent basic delivery area is assigned. Further, it is preferable that a maximum range is defined in the allocation area, and a range exceeding the range is not allocated to one delivery vehicle.

  Next, another example of the extraction method of the vending machine to be replenished will be described with reference to FIGS. 9 and 10. In FIG. 7, vending machines to be replenished are extracted based on the total number of sales, but the standard for extracting vending machines to be replenished is not limited to this.

  FIG. 9 is a flowchart showing an example of the operation of the vending machine management system. The process shown in FIG. 9 calculates the remaining product number information for each vending machine based on the product information and the product replenishment information, and subtracts the number of product stocks from the number of reference stocks to replenish the product. In the process of calculating the number of bottles, calculating the replenishment rate, which is the ratio of the number of products to be replenished with respect to the number of reference stocks, and extracting the vending machine whose replenishment rate is higher than the replenishment reference as the vending machine to be replenished is there. The process shown in FIG. 9 may be executed in place of the process in step S16 in FIG. 7 described above, but may be executed separately from the process in step S16. In the present embodiment, the replenishment criterion is also set by the replenishment rate.

  The delivery management part 70a calculates the remaining number information of the goods of a vending machine as step S30. Specifically, the information of the remaining number history data 72e is read, and after the remaining number history is detected, the number of sales is subtracted to calculate the remaining number (inventory) of products in each column.

  After calculating the remaining number information in step S30, the delivery management unit 70a detects the reference number, that is, the target number of products after product replenishment in step S32, and calculates the replenishment rate in step S34. Here, the replenishment rate is (reference number−remaining number) / reference number. In other words, it is the ratio of products that are decreasing with respect to the reference number. The replenishment rate is calculated as the sum of the products in all columns of the vending machine.

  After calculating the replenishment rate in step S34, the delivery management unit 70a extracts a vending machine having a replenishment rate equal to or higher than the replenishment reference as a replenishment target in step S36. That is, the delivery management unit 70a extracts a vending machine having a replenishment rate equal to or higher than the replenishment standard as a vending machine to be replenished with goods (a vending machine that performs management work).

  In this way, the delivery management unit 70a can appropriately extract the vending machine to be replenished even with the replenishment rate as a reference. Further, by using the replenishment rate as a reference instead of the number of sales, it is possible to use the same replenishment standard for vending machines with high sales and vending machines with low sales. This can simplify the control.

  In addition, the delivery management unit 70a calculates the remaining number information of the products for each vending machine based on the product information and the replenishment information of the products, and the vending machine whose product inventory is less than the replenishment reference is automatically replenished. You may extract as a vending machine. That is, the number of vending machine inventory may be used as the replenishment criterion. Here, the vending machine management system 10 can set a replenishment standard for each vending machine. That is, it is possible to set different replenishment criteria for vending machines that are easy to sell products and vending machines that are difficult to sell. Thereby, the replenishment work can be executed at an appropriate timing for each vending machine.

  FIG. 10 is a flowchart showing an example of the operation of the vending machine management system. The process shown in FIG. 10 includes the criteria set individually for the products in the vending machine as the replenishment criteria for the product. If at least one of the products satisfies the replenishment criteria, the vending machine This is a process of extracting as a vending machine. In the present embodiment, a replenishment criterion is set for each column.

  The delivery management part 70a acquires the remaining number (remaining number information) for every column of the product of the vending machine as step S40. Specifically, the information of the remaining number history data 72e is read, and after the remaining number history is detected, the number of sales is subtracted to calculate the remaining number (inventory) of products in each column.

  After calculating the remaining number information in step S40, the delivery management unit 70a determines whether there is a column in which the remaining number of products is below the replenishment criterion in step S42. If the delivery management unit 70a determines in step S42 that there is no column (No) in which the remaining number of products is less than or equal to the replenishment criterion, this process ends. If the delivery management unit 70a determines in step S42 that the remaining number of products is less than or equal to the replenishment criterion (Yes), in step S44, the vending machine having the corresponding column (remaining number of columns that is less than or equal to the criterion) is targeted for replenishment. This process ends.

  As described above, the delivery management unit 70a can appropriately extract the vending machine to be replenished based on the remaining number of columns. Thus, by detecting the remaining number for each column, it is possible to prevent the product from being sold out. In addition, by setting the replenishment criterion to 0, vending machines that have been sold out can be replenished, and the sold-out period can be shortened. The process shown in FIG. 10 may be executed in place of the process in step S16 in FIG. 7 described above, but may be executed separately from the process in step S16.

  In addition, when the management server 24 acquires change information of the vending machine via the communication unit 76 and the delivery management unit 70a detects a vending machine below the standard set by the change based on the change information, It is also preferable to extract the vending machine as a vending machine to be replenished. As a result, it is possible to execute a management operation for a vending machine in which the change is less than or equal to the set standard, that is, the change is reduced or lost, and the change can be replenished. As a result, it is possible to suppress the missed opportunity to sell the product due to the change of change.

  Here, the change information is the same as the sales information of the product. For the vending machine 14b not provided with the communication unit, the current change information is obtained based on the latest change information acquired by the mobile terminal 20 through the short-range communication. It is only necessary to predict whether the predicted change information is equal to or less than the set standard. As a result, it is possible to prevent a change in the change of the vending machine 14b not provided with a communication unit with a higher probability.

  Next, an example of a replenishment reference setting method will be described with reference to FIG. FIG. 11 is a flowchart showing an example of the operation of the vending machine management system. The process shown in FIG. 11 is executed by each of the workers who can perform the management work, the number of workers who can perform the management work, information on the delivery vehicles used by the worker for the management work, and the workers This is a process for determining the replenishment criteria, including information on possible management operations and using the information of the worker who performs the management operation of the product as a work condition.

  The delivery management unit 70a acquires the conditions of the worker and the delivery vehicle as step S60, and acquires the work ability as step S62. That is, the delivery management unit 70a obtains the number of workers at the sales office 12 and the number of delivery vehicles set by the operating device 22 in step S60, and further obtains the work capabilities of the workers and delivery vehicles in step S62. . The work ability includes work that can be performed by the worker, work efficiency, weight of goods that can be loaded on a delivery vehicle, and the like.

  When the delivery management unit 70a acquires the work capability in step S62, the delivery management unit 70a calculates the number of workable pieces in step S64. The workable number is the number of vending machines capable of executing management processing. When the delivery management unit 70a calculates the number of workable units in step S64, the delivery management unit 70a determines a replenishment criterion in step S66. That is, the delivery management unit 70a sets a replenishment criterion that can extract the workable number as a replenishment target based on the workable number.

  When the delivery management unit 70a determines the replenishment criteria in step S66, the delivery management unit 70a executes the above-described various processes and extracts the vending machines to be replenished. The delivery management unit 70a calculates the above-mentioned replenishment criteria (total sales, total remaining number, replenishment rate), arranges the calculation results in order from the top, and arranges the vending machines for the number of workable items in order from the top. It may be extracted.

  FIG. 12 is an explanatory diagram for explaining the operation of the vending machine management system. FIG. 13 is an explanatory diagram for explaining the operation of the vending machine management system. For example, as shown in FIG. 12, when there are four deliverable vehicles that can be operated and the number of workable vehicles is 120, the vending machines included in the target area 120 are extracted as replenishment targets, and the above-described FIG. The management area is executed by assigning the allocation area shown in FIG. On the other hand, when there are three delivery vehicles that can be operated and the number of workable vehicles is 80, vending machines included in the target area 122 are extracted as replenishment targets. Thereafter, as shown in FIG. 13, the service area 13 is divided into three areas, that is, allocation areas 130, 132, and 134, and is assigned to each delivery vehicle to execute management work.

  As described above, the vending machine management system 10 and the delivery management unit 70a can execute the management work efficiently within the range of the processable capacity by determining the replenishment reference according to the work capacity. Note that the vending machine management system 10 and the delivery management unit 70a preferably allow the replenishment criteria to be switched based on settings such as the possibility of being sold out and the number of sales forecasts prioritized. Thereby, management work can be performed on the basis corresponding to the intention of the manager of the sales office 12.

  FIG. 14 is a flowchart showing an example of the operation of the vending machine management system. The process shown in FIG. 14 includes the information on the weight of the goods that can be loaded on the delivery vehicle in the information on the delivery vehicles used for the management work, and the delivery management unit 70a determines the number of products to be replenished to the vending machine and the delivery vehicles. This is a process for determining the allocation of vending machines in which each worker replenishes the merchandise in consideration of the weight of the merchandise that can be loaded on the merchandise.

  The delivery management part 70a acquires the conditions of an operator and a delivery vehicle as step S70. That is, the delivery management unit 70a acquires the number of workers of the sales office 12 and the number of delivery vehicles set by the operating device 22 in step S70. The delivery management unit 70a also acquires the weight of the product that can be loaded on the delivery vehicle.

  After executing the process of step S70, the delivery management unit 70a calculates the weight of the product to be replenished by each vending machine as step S72. That is, based on the number of products to be replenished and the weight of each product, the total weight of products to be replenished to one vending machine is calculated.

  After calculating the weight in step S72, the delivery management unit 70a determines the allocation of the vending machine to the delivery vehicle in step S74. That is, the allocation of vending machines is determined in consideration of the weight that can be loaded on each delivery vehicle.

  In this way, by taking into account the weight of the product to be replenished, not only the number of vending machines and the movement distance, but also the weight of the product mounted on each delivery vehicle can be made appropriate. Thereby, working efficiency can be improved more.

  FIG. 15 is a flowchart showing an example of the operation of the vending machine management system. The processing shown in FIG. 15 includes information on the weight of the goods that can be loaded on the delivery vehicle and information on the priority order to be used as information on the delivery vehicle used for the management work. This is a process of predicting the number of vending machines to be replenished at the next delivery and the number of products to be replenished based on the sales information, and calculating the number of necessary workers and the number of delivery vehicles based on the prediction result. . Further, the operating device 22 outputs a calculation result of the number of necessary workers and the number of delivery vehicles from the output unit.

  The delivery management unit 70a acquires sales information and remaining number information in step S80, predicts the vending machine to be replenished in step S82, and predicts the number of replenished products in step S84. The delivery management unit 70a predicts each situation at a predetermined date and time (date and time when management work is performed) after the set time has elapsed. In step S82, the delivery management unit 70a predicts how many of each product will be sold by each vending machine based on the past sales information, and which vending machine is to be replenished based on the prediction result and the remaining number information. Predict what will be. The delivery management unit 70a predicts the number of products to be replenished to the vending machine predicted to be replenished based on the sales information and the remaining number information in step S84.

  The delivery management unit 70a, after performing the processing of step S82 and step S84, calculates the configuration of workers and delivery vehicles necessary for the management work as step S86. That is, the number of workers and the capacity required for replenishing the predicted product to the predicted vending machine, the number of delivery vehicles, and the capacity are calculated. The management server 24 transmits the calculation result to the operating device 22. The operating device 22 causes the display unit 64 to display the transmitted calculation result. The manager of the sales office 12 secures necessary workers and delivery vehicles based on the result output to the operating device 22. In the process shown in FIG. 15 as well, in the same way as the process shown in FIG. 14, the configuration of the workers and delivery vehicles necessary for the management work can be calculated by taking into consideration the weight of the product and the weight that can be loaded on the delivery vehicle. preferable.

  Thus, by performing management work prediction, it is possible to grasp in advance the workers and delivery vehicles necessary for the next time and thereafter. By grasping the workers and delivery vehicles required after the next time, necessary workers (human resources) and delivery vehicles can be secured in advance. Thereby, work can be performed efficiently. In addition, it is possible to grasp the necessary workers (human resources) and delivery vehicles, so that it is possible to suppress securing more workers (human resources) than necessary and preparing excessive delivery vehicles. Can be improved.

  For example, if the configuration of products to be replenished per vending machine is 150 350 ml products, the total weight is 52.5 kg. In addition, the number of delivery vehicles that can be arranged is 7 panel vans (dedicated delivery vehicles) with a loading weight of 2 t, and 10 light vans with a loading weight of 750 kg. Here, assuming that the safe loading rate is 80%, a panel van having a loading weight of 2 t is 2000 kg × 0.8 / 52.5, and about 30 vending machines can be loaded per vehicle. A light van with a loading weight of 750 kg will be 750 kg x 0.8 / 52.5, and about 11 vending machines can be loaded per vehicle.

  Here, if there are 250 vending machines to be replenished and a setting is made such that a panel van with a loading weight of 2 t is used preferentially, the vending machine for 210 vending machines with 7 x 30 panel vans with a loading weight of 2 t will be available. Products can be installed. Accordingly, since the remaining number is 40, processing can be performed with four light vans having a loading weight of 750 kg. If one unit is added with a margin, five light vans with a loading weight of 750 kg will be prepared. Here, if the management work by the panel van is performed by a full-time employee and the management work by the light van is performed by a part-time job, it is understood that it is necessary to arrange 7 full-time employees and 5 part-time jobs. This makes it possible to replenish necessary personnel and arrange rental cars in advance.

  The delivery management unit 70a may take into account the weather, temperature, and event information when predicting the sales of the product. In this case, the sales trend is calculated by associating the past weather, temperature, presence / absence of the event with sales information, and the sales result of the product is correlated with the predicted weather, temperature, event information. Predict. Thus, by adding various information to the sales prediction, it is possible to predict the sales with higher accuracy and to prepare more appropriate workers and delivery vehicles.

  FIG. 16 is a flowchart showing an example of the operation of the vending machine management system. The process shown in FIG. 16 further includes a product management unit that manages products based on a period after the product is introduced into the vending machine, and the residence period after the product management unit is introduced into the vending machine. If a vending machine with a product that exceeds the set period is detected, the vending machine that can be sold within the set period is predicted even if the product is replenished based on the sales information of the product. This process identifies the vending machine that has been selected as the destination vending machine. Further, the processing shown in FIG. 16 is for the product management unit to replenish vending machines having products whose staying period from the time when they are introduced into the vending machine exceeds the set period and the vending machine at the destination. Products for vending machines that have been extracted from the vending machine and have stayed longer than the set period for the same worker after being placed in the vending machine This is a process of assigning the replenishment and assigning the goods moving work.

  In step S90, the product management unit 70b calculates the number of days of product retention. Here, the staying days is the number of days since the product is put into the vending machine, and can be calculated based on the sales data 72c, the replenishment history data 72d, and the remaining number history data 72e. Since the vending machine is sold in order from the first replenished product, the replenishment and sales history can be used to specify when each product in the column is replenished. As a result, the number of days that the product is in the column can also be calculated.

  After calculating the staying days in step S90, the product management unit 70b determines whether there is a product whose staying days are greater than or equal to a reference in step S92. If the product management unit 70b determines in step S92 that there is no product with the staying days exceeding the reference (No), the process ends. If the product management unit 70b determines in step S92 that there is a product whose staying days are equal to or greater than the reference (Yes), the product management unit 70b identifies a vending machine that can sell the product in step S94. In other words, a vending machine that can sell the product for a predetermined number of days is specified even if the product is sold to a certain extent and a product whose staying days are more than the standard is replenished.

  When the vending machine is specified by the merchandise management unit 70b in step S94, the merchandise management unit 70b assigns the source and destination vending machines to the same delivery vehicle in step S96. In other words, the source vending machine (the vending machine in which the product stays) and the destination vending machine (the vending machine that replenishes the staying product) are used as replenishment vending machines, and the same delivery vehicles are assigned. The merchandise management unit 70b also assigns merchandise movement processing to the delivery vehicle. Thereafter, the merchandise management unit 70b ends this process.

  As described above, the management server 24 can suppress the unsold product from being sold by moving a product whose staying days are a predetermined number of days or more to a vending machine that sells the product. In addition, by assigning the vending machines at the movement source and the movement destination to the same delivery vehicle, after the delivery vehicle collects the goods, the consumption can be supplemented to the vending machine at the movement destination. Thereby, the effort which returns the collect | recovered goods to the sales office 12 can be skipped, and work efficiency can be improved.

  In addition, as a reference | standard of stay days, there exists a expiration date and a heating change time limit. It is preferable that the staying days are days having a certain number of days from the expiration date and the warming change deadline. Thereby, it is possible to grasp in advance the products that may not be sold, and to sell them out.

  Moreover, it is preferable that the merchandise management unit 70b analyzes the sales information to detect a product that can be sold and a product that cannot be sold, and extracts information on a product to be reordered or a product to be ordered. Further, it is preferable to adjust the management work so that a product that cannot be sold can be moved to a vending machine that sells in the same manner as the product that has passed the above-described stay period. Thereby, it can suppress that the stock of goods remains.

  In addition, when there is a product exchange, the management server 24 is preferably assigned to a worker who can exchange the product and a management operation of the vending machine that exchanges the product with priority on the delivery vehicle. Thereby, exchange of goods can be performed efficiently and reliably. Moreover, it is preferable that the product management unit 70b plans the ratio and type of products sold by the vending machine based on the sales information. When there is a product to be exchanged, the product management unit 70b newly adds the product to be canceled and the corresponding column. It is preferable to allocate products to be sold. Thus, the burden on the administrator can be reduced by automatically creating the configuration of the product to be sold.

(Embodiment 2)
In the following second embodiment, an embodiment for efficiently performing a replenishment operation of goods to a vending machine will be described.

  In the first embodiment, the replenishment operation to the vending machine is executed at an arbitrary timing and number of times, such as once every few days or several times a day. For this reason, it cannot be said that the replenishment work of a vending machine is being performed efficiently. The second embodiment described below is based on this point, and has a main feature in that a more efficient replenishment operation of goods to a vending machine can be realized.

  FIG. 17 is a block diagram illustrating a schematic configuration of the management server 24. The management server 24 shown in FIG. 17 is different from the management server 24 shown in FIG. 1 in the points described below. In the following description, what is described as a product corresponds to all products that can be sold by a vending machine. Further, in the following description, it is assumed that the product with the highest sales among the vending machines is replenished until the maximum stock quantity is reached by one replenishment operation. Further, in the following description, it is assumed that other products than the products with the highest sales in the vending machine are replenished by the number determined by the replenishment number determination process. The maximum stock quantity is the maximum number of products that can be stored in a column provided for each product in the vending machine.

  As shown in FIG. 17, the control unit 70 includes not only the delivery management unit 70a and the product management unit 70b, but also a detection unit 70c, a first calculation unit 70d, a second calculation unit 70e, and a third calculation unit 70f. Further, the control unit 70 includes a replenishment number storage unit 74.

  The delivery management unit 70a extracts vending machines to be replenished by the same method as in the above embodiment. For example, the delivery management unit 70a extracts vending machines to be replenished with products based on product information and replenishment criteria. Here, the product information is information including the number of sales for each product of the vending machine and the remaining number for each product of the vending machine. For example, the sales data 72c and the remaining number history data stored in the storage unit 72 72e. As in the first embodiment, the replenishment criterion is a criterion for determining whether or not to perform a product replenishment operation on the vending machine. For example, the replenishment criterion corresponds to the replenishment criterion stored in the condition table 72f of the storage unit 72. To do. The delivery management unit 70a takes in the data on the total sales of the products for the vending machine to be replenished from the sales data 72c, and extracts the vending machine in which the data on the total sales taken in is more than the replenishment standard as the replenishment target. In addition, similarly to the first embodiment, the delivery management unit 70a may detect a vending machine to be replenished based on the replenishment rate, inventory (remaining number), change, and the like.

  First, the detection unit 70c acquires information on the vending machine to be replenished from the delivery management unit 70a. Subsequently, the detection unit 70c detects, based on the product information, a specific product (a so-called best-selling product) that is estimated to have the shortest number of days until the product is sold out of the products of the vending machine to be replenished with the product. . A product being sold out means a state in which all the products stored in the column provided for each product are purchased in the vending machine and none is stored.

  Instead of the delivery management unit 70a, the detection unit 70c may detect a vending machine to be replenished.

  After acquiring information on the vending machine to be replenished from the delivery management unit 70a, the detection unit 70c detects a specific product based on the product information (particularly, sales data 72c). The specific product is a product estimated to have the shortest number of days until it is sold out of the products of the vending machine to be replenished.

  For example, the detection unit 70c calculates the average number of sales per day for each product lined up in a certain vending machine to be replenished. The average number of sales per day may be the average over the last few days, the average over the last few weeks, or the average over the last few months. Further, the detection unit 70c may update the average number of sales per day every day.

  Subsequently, the detection unit 70c calculates the inventory turnover rate using the average number of sales per day for each product lined up in a certain vending machine to be replenished, and selects the product with the highest inventory turnover rate as the specified product. Detect as. The inventory turnover rate is a value that evaluates that the inventory of the product in the corresponding column has rotated once when the average number of sales per day of the product in the column with the vending machine is the same as the number of replenishment units. . Note that the number of replenishment units is a measure of the number of replenishment items for a product to be replenished by one replenishment operation. Therefore, if a product is sold by the number replenished in one replenishment operation, it is determined that the stock in the vending machine has rotated once for the corresponding product. For example, if the average number of sales per day of a column product with a vending machine having a replenishment unit of 10 is 10, the inventory turnover rate calculated by the detection unit 70c is 1, and 20 In this case, the inventory turn rate calculated by the detection unit 70c is 2. The number of replenishment units is preset by the administrator of the management server 24, for example. As the number of replenishment units, for example, an average of the number of replenishments of commodities replenished in one replenishment operation can be used.

  The first computing unit 70d uses the product information (particularly the vending machine data 72b, the sales data 72c, and the remaining number) for the number of specific products to be replenished so that the specific product detected by the detection unit 70c becomes the maximum stock quantity. Calculation is performed based on the history data 72e). The data on the maximum stock quantity is stored in the vending machine data 72b of the storage unit 72, for example. Based on the remaining number history data 72e, the first computing unit 70d acquires the remaining number data of the column corresponding to the specific product. Subsequently, the first calculation unit 70d acquires data on the maximum stock quantity of the column corresponding to the specific product from the vending machine data 72b. Then, the first computing unit 70d calculates the difference between the maximum inventory quantity and the remaining quantity as the supplement number of the specific product based on the data on the maximum inventory quantity and the remaining quantity data.

  The second computing unit 70e calculates the estimated number of days until the specific product is sold out after the specific product is replenished to the maximum stock quantity, using the average number of sales per day. For each product lined up in the vending machine to be replenished, the second calculation unit 70e calculates the average sales per day of the specific product from the data on the average sales per day calculated by the detection unit 70c. Get the number data. Subsequently, the second calculation unit 70e acquires data on the maximum stock quantity of the column corresponding to the specific product from the vending machine data 72b. Then, the second computing unit 70e divides the maximum inventory quantity by the average sales quantity per day based on the data on the average sales quantity per day and the data on the maximum inventory quantity of the specific merchandise. Calculate the estimated number of days until is sold out. Note that the second arithmetic unit 70e normalizes the result of division when the result of division is not divisible. The result of the division is X. 9Y, X. 8Y, X. 7Y, X. 6Y, or X. If it is 5Y, it is normalized to “X + 1”. 4Y, X. 3Y, X. 2Y or X.I. When it is 1Y, it is normalized to “X” (X and Y are natural numbers of 0 to 9). For example, when the result of division is 1.91, 1.81, 1.71, 1.61, or 1.51, it is normalized to “2” and 1.41, 1.31, 1.21 or 1 .11 is normalized to “1”. Also, the result of the division is X. When it is 0Y, it is normalized to “X” (X and Y are natural numbers of 1 to 9). For example, when the result of the division is 1.09, normalize to “1”. That is, normalization is performed by rounding off after the decimal point.

  Based on the estimated number of days and the product information, the third arithmetic unit 70f determines the number of replenishment items for each product other than the specific product among the products of the vending machine to be replenished when the product is sold out at the same time as the specific product. Respectively. The third calculation unit 70f acquires data on the average number of sales per day for each product other than the specific product from the data on the average number of sales per day calculated by the detection unit 70c. Subsequently, the third calculation unit 70f acquires data on the remaining number of columns corresponding to each product other than the specific product based on the remaining number history data 72e. Subsequently, the third calculation unit 70f acquires data on the estimated number of days until the specific product is sold out from the second calculation unit 70e. Subsequently, the third calculation unit 70f calculates each product other than the specific product based on the data on the average number of sales per day for each product other than the specific product and the data on the estimated number of days until the specific product is sold out. Calculate the number that is expected to sell during the estimated number of days. Subsequently, the third calculation unit 70f is based on the number of data expected to be sold during the estimated number of days for each product other than the specific product, and the data on the remaining number of columns corresponding to each product other than the specific product, The number of replenishments when each product other than the specific product is sold out simultaneously with the specific product is calculated.

  When the above-described processing is completed by the detection unit 70c, the first calculation unit 70d, the second calculation unit 70e, and the third calculation unit 70f, the control unit 70 identifies the specific product identification information, the number of specific product replenishments, and the specific product. Each data of the replenishment number of each product other than is stored in the replenishment number storage unit 74.

  And the control part 70 performs the process by the 1st calculating part 70d, the 2nd calculating part 70e, and the 3rd calculating part 70f which were mentioned above about all the vending machines detected as the replenishment object by the detection part 70c. In this manner, the detection unit 70c, the first calculation unit 70d, the second calculation unit 70e, and the third calculation unit 70f are controlled.

  The replenishment number storage unit 74 stores, for each vending machine to be replenished, the identification information of the specific product, the replenishment number of the specific product, and the replenishment number of each product other than the specific product.

  The delivery management unit 70a refers to the data stored in the replenishment number storage unit 74 and determines the assignment between each delivery vehicle for performing the replenishment operation and the vending machine to be replenished. And the delivery management part 70a transmits the information regarding allocation with a delivery vehicle and a vending machine to the operation apparatus 22, for example. The delivery management unit 70a creates a list of products to be replenished with each delivery vehicle for performing replenishment work while referring to data stored in the replenishment number storage unit 74.

  The processing operation by the management server 24 shown in FIG. 17 will be described with reference to FIG. FIG. 18 is a flowchart showing the processing operation by the management server 24 shown in FIG. The processing operation shown in FIG. 18 differs from the processing operation shown in FIG. 7 in that it has the operations of step S19 and step S21.

  In step S13, the delivery management unit 70a acquires sales information of the vending machine (vending machine). Specifically, the delivery management unit 70a calculates the total number of sales for each vending machine from the sales data 72c. Here, in step S13, the total number of sales since the most recent product replenishment is calculated as the total sales.

  After acquiring the sales information at step S13, the delivery management unit 70a determines a replenishment criterion at step S15. Specifically, the delivery management unit 70a reads and determines the replenishment reference from the condition table 72f. In step S13, since the delivery management unit 70a extracts the vending machine to be replenished based on the number of sales of the product, it determines the replenishment standard corresponding to the number of sales. In the condition table 72f, a plurality of replenishment criteria described in the above embodiment may be registered in advance. In this case, the delivery management unit 70a reads a replenishment criterion to be adopted from among a plurality of replenishment criteria in accordance with data for extracting the vending machine to be replenished. The replenishment criteria to be read may be selected by the user in advance.

  After determining the replenishment criteria in step S15, the delivery management unit 70a extracts vending machines whose total sales are equal to or greater than the replenishment criteria as replenishment targets in step S17. That is, the delivery management unit 70a extracts as vending machines vending machines that have sold more than the refill standard.

  When the extraction of the vending machine to be replenished is completed, in step S19, the detection unit 70c, the first calculation unit 70d, the second calculation unit 70e, and the third calculation unit 70f perform the replenishment number determination process for all the vending machines to be replenished. Execute. The replenishment number determination process will be described later.

  When the replenishment number determination process is completed, in step S21, the delivery management unit 70a creates a list of products to be replenished by each delivery vehicle based on the result of the replenishment number determination process.

  Subsequently, in step S23, the delivery management unit 70a acquires the position information of the vending machine to be replenished. Specifically, position information (address, postal code, identification code, etc.) associated with the vending machine to be replenished is read from the vending machine data 72b.

  Subsequently, in step S25, the delivery management unit 70a determines allocation of vending machines to delivery vehicles.

  The supplement number determination process according to the second embodiment will be described with reference to FIGS. 19, 20, and 21. FIG. 19 is a flowchart illustrating the flow of the replenishment number determination process according to the second embodiment. FIG. 20 is a diagram illustrating an example of data calculated by the detection unit 70c, the first calculation unit 70d, the second calculation unit 70e, and the third calculation unit 70f in the supplement number determination process according to the second embodiment. FIG. 21 is a diagram illustrating an example of data stored in the supplement number storage unit 74 according to the second embodiment.

  As illustrated in FIG. 19, the detection unit 70 c refers to the storage unit 72 and acquires data regarding the product configuration, sales (number), and remaining number of the vending machine to be replenished (step S <b> 101). The detection unit 70 c can acquire data related to the product configuration from the vending machine data 72 b stored in the storage unit 72. Further, the detection unit 70 c can acquire data related to sales from the sales data 72 c stored in the storage unit 72. In addition, the detection unit 70 c can acquire data regarding the remaining number from the remaining number history data 72 e stored in the storage unit 72.

  Subsequently, the detection unit 70c calculates an inventory turnover rate for each product of the vending machine to be replenished (step S102). The detection unit 70c calculates the average number of sales per day for each product lined up in the vending machine to be replenished, and calculates the inventory turnover rate using the average number of sales. The inventory turnover rate is a value that evaluates that the inventory of the product in the corresponding column has been rotated once when the average number of sales per day of the product in the column with the vending machine is the same as the number of replenishment units. is there. Note that the number of replenishment units is a value representing a guideline for the number of products to be replenished by one replenishment operation. For example, if the average number of sales per day of a column product with a vending machine having a replenishment unit of 10 is 10, the inventory turnover rate calculated by the detection unit 70c is 1, and 20 In this case, the inventory turn rate calculated by the detection unit 70c is 2. The number of replenishment units is preset by the administrator of the management server 24, for example. As the number of replenishment units, for example, the average of the number of replenishments of goods replenished in one replenishment operation can be used. For example, like the data D1 shown in FIG. 20, the detection unit 70c has an average daily sales number “10” of the product A in the first column of the first vending machine and a replenishment unit number “5”. In the case of "", the inventory turnover rate = "2" is calculated by dividing the average number of sales per day by the number of replenishment units. Similarly, when the average sales number per day of the product B in the second column of the first vending machine is “20” and the replenishment unit number is “5”, the detection unit 70c The inventory turnover rate = “4” is calculated by dividing the average number of sales by the number of replenishment units. Similarly, when the average sales number per day of the product C in the third column of the first vending machine is “40” and the replenishment unit number is “8”, the detection unit 70c The inventory turnover rate = “5” is calculated by dividing the average number of sales by the number of replenishment units.

  After calculating the inventory turnover rate, the detection unit 70c detects a product having the largest stock turnover rate as a specific product (step S103). The specific product is a product that is estimated to have the shortest number of days until it is sold out of the products of the vending machine to be replenished. For example, when the inventory turnover rate of the product C in the third column is the largest among the products in the first vending machine as in the data D1 illustrated in FIG. 20, the detection unit 70c detects the product C as the specific product. To do.

  Subsequently, the first calculation unit 70d uses the product information (the vending machine data 72b, the sales data 72c, and the replenishment number when the specific product is replenished to the maximum stock quantity for the specific product detected by the detection unit 70c. The remaining number history data 72e and the like are calculated (step S104). The data on the maximum stock quantity is stored in the vending machine data 72b, for example. For example, when the product C is detected as the specific product as in the data D1 illustrated in FIG. 20, the first calculation unit 70d sets the maximum stock quantity of the product C = “80” and the third column corresponding to the product C. The remaining number of products = “45” is calculated to calculate the number of replenishment of product C = “35”.

  Subsequently, the second calculation unit 70e calculates the estimated number of days until the specific product supplemented to the maximum stock quantity is sold based on the average number of sales per day (step S105). For example, when the product C is detected as the specific product as in the data D1 illustrated in FIG. 20, the second calculation unit 70e sets the maximum stock quantity corresponding to the product C = “80” per day for the product C. The average number of sales is divided by “40” to calculate the estimated number of days until the product C is sold out = “2”.

  Subsequently, the third calculation unit 70f calculates the number of replenishments for each of the other products when the products other than the specific product are sold out simultaneously with the specific product among the products of the vending machine to be replenished. , Respectively, based on the estimated number of days and the product information (step S106). For example, when the product C of the first vending machine is detected as a specific product, the third calculation unit 70f calculates the number of replenishments for the product A and the product B other than the product C. Specifically, the third calculation unit 70f calculates the expected sales number for two days = “20” using the average number of sales per day of product A = “10”. Subsequently, the third calculation unit 70f calculates the difference between the number of expected sales for “2 days” = “20” and the remaining number of products A = “15”, and replenishes as shown in data D1 shown in FIG. Number = “5” is calculated. By a similar method, the third calculation unit 70f calculates the number of replenishments of the product B = “10” as in the data D1 illustrated in FIG.

  When the processing up to Step S106 is completed, the control unit 70 stores the identification information of the specific product, the supplement number of the specific product, and the data of the supplement number of each product other than the specific product in the supplement number storage unit 74 (Step S106). S107). For example, as shown in FIG. 21, the replenishment number storage unit 74 has the controller 70 control the specific product identification information “product C”, the specific product replenishment number “35” for the first vending machine, for example. The number of supplements “5” for products A other than the specific product, the number of supplements “10” for product B, the total number of supplements “789”, and the like are stored.

  And the control part 70 determines whether the process was complete | finished about all the vending machines used as replenishment object (step S108). If the result of determination is that processing has not been completed for all vending machines (step S108, No), the control unit 70 returns to step S101 and continues the processing shown in FIG. On the other hand, if the result of determination is that the processing has been completed for all vending machines (step S108, Yes), the control unit 70 ends the processing shown in FIG.

  As described above, in the second embodiment, the management server 24 (the control unit 70) detects a product having the highest inventory turnover rate as a specific product among the products of the vending machine to be replenished. Then, the management server 24 (the control unit 70) determines the replenishment number of the other products so that the other products are sold out on the day when the specific product replenished up to the maximum stock quantity is expected to be sold out. As described above, in the second embodiment, the replenishment operation at the timing when all the products in the vending machine are expected to be in short supply by determining the replenishment number of each product in accordance with the trend of the product that is expected to be most sold. It can be performed. For this reason, according to the second embodiment, even when the replenishment operation is performed at an arbitrary timing and number of times such as once every few days or several times a day, the interval between the replenishment operations can be widened, More efficient replenishment work, such as reducing the amount of goods to be transported, can be realized.

  In the second embodiment, since the number of replenishment of each product is determined in accordance with the sales trend of the product with the highest inventory turnover rate, in other words, the sales opportunity of the product with the highest inventory turnover rate, in other words, the best selling product. As a result of preventing the loss, the sales can be maximized.

(Embodiment 3)
In the second embodiment described above, an example in which the number of replenishments for each product to be replenished is determined according to the sales trend of the product with the highest inventory turnover rate among the products of the vending machine to be replenished. did. In general, a vending machine product may have a different number of replenishment units depending on the expected sales of the product based on a rule of thumb or market research. For this reason, the inventory turnover rate may be the same depending on the relationship between the number of replenishment units and the sales, and it may be impossible to detect a specific product based on the inventory turnover rate. In other words, the inventory turnover rate may not be an index that highlights a so-called best-selling product.

  FIG. 22 is a diagram showing an example of sales and inventory turnover data for each product in the vending machine. As in the data D2 shown in FIG. 22, in the first vending machine, the number of replenishment units differs between the products A and B and the product C. Further, as in data D2 shown in FIG. 22, in the first vending machine, the average number of sales per day of the product C is the largest. However, the inventory turnover rates of the products A to C are all the same as data D2 shown in FIG. Thus, for example, in the first vending machine, among the products A to C, the product C is the product with the highest sales, but even if the inventory turnover rate is used, the product C is identified as a specific product (a so-called selling item). Product).

  Therefore, in the following, an example in which a specific product is detected using a product other than the product inventory turnover rate and the replenishment number determination process is performed will be described. Embodiment 3 below describes an example in which a specific product is detected using the average number of sales per day of a product instead of the inventory turnover rate of the product, and the replenishment number determination process is performed.

  The replenishment number determination process according to the third embodiment will be described with reference to FIGS. 23, 24, and 25. FIG. 23 is a flowchart illustrating the flow of the replenishment number determination process according to the third embodiment. FIG. 24 is a diagram illustrating an example of data calculated by the detection unit 70c, the first calculation unit 70d, the second calculation unit 70e, and the third calculation unit 70f in the replenishment number determination process according to the third embodiment. FIG. 25 is a diagram illustrating an example of data stored in the supplement number storage unit 74 according to the third embodiment.

  As illustrated in FIG. 23, the detection unit 70c refers to the storage unit 72 and acquires data relating to the product configuration, sales, and remaining number of the vending machine to be replenished (step S201).

  Subsequently, the detection unit 70c calculates the average number of sales per day for each product of the vending machine to be replenished (step S202). The average number of sales per day may be the average over the last few days, the average over the last few weeks, or the average over the last few months. Further, the detection unit 70c may update the average number of sales per day every day.

  Subsequently, the detection unit 70c detects, as a specific product, a product having the largest average sales per day among the average sales per day calculated for each product of the vending machine to be replenished (step S203). . When the average number of sales per day of the product C in the third column among the products of the first vending machine is the largest as shown in the data D3 shown in FIG. 24, the detection unit 70c selects the product C as the specific product. Detect as.

  Subsequently, for the specific product detected by the detection unit 70c, the first calculation unit 70d determines the replenishment number when the specific product is replenished so as to have the maximum stock quantity, the vending machine data 72b, the sales data 72c, and the remaining number history. Calculation is made based on the data 72e and the like (step S204). For example, when the product C is detected as a specific product as in the data D3 illustrated in FIG. 24, the first calculation unit 70d sets the maximum stock quantity of the product C = “80” and the third column corresponding to the product C. The remaining number of products = “45” is calculated to calculate the number of replenishment of product C = “35”.

  Subsequently, the second calculation unit 70e calculates the estimated number of days until the specific product supplemented to the maximum stock quantity is sold out based on the average number of sales per day (step S205). For example, when the product C is detected as a specific product as in the data D3 illustrated in FIG. 24, the second calculation unit 70e sets the maximum stock quantity corresponding to the product C = “80” per day for the product C. The average number of sales is divided by “16” to calculate the estimated number of days until the product C is sold out = “5”.

  Subsequently, the third calculation unit 70f calculates the number of replenishments for each of the other products when the products other than the specific product are sold out simultaneously with the specific product among the products of the vending machine to be replenished. , Respectively, based on the estimated number of days and the product information (step S206). For example, when the product C of the first vending machine is detected as a specific product, the third calculation unit 70f calculates the number of replenishments for the product A and the product B other than the product C. Specifically, the third calculation unit 70f calculates the expected sales number for five days = “50” using the average number of sales per day of the product A = “10”. Subsequently, the third calculation unit 70f calculates the difference between the estimated number of sales = “50” for 5 days and the remaining number of products A = “15”, and replenishes as shown in data D3 shown in FIG. Number = “35” is calculated. By the same method, the third calculation unit 70f calculates the replenishment number of the product B = “20” as in the data D3 illustrated in FIG.

  When the processing up to step S206 is completed, the control unit 70 stores the identification information of the specific product, the supplement number of the specific product, and the data of the supplement number of each product other than the specific product in the replenishment number storage unit 74 (step S206). S207). For example, as shown in FIG. 25, the replenishment number storage unit 74 has the controller 70 control the specific product identification information “product C”, the specific product replenishment number “35”, for example, for the first vending machine. Stores the replenishment number “35” of the product A other than the specific product, the replenishment number “20” of the product B, the total number of replenishment “865”, and the like.

  And the control part 70 determines whether the process was complete | finished about all the vending machines used as replenishment object (step S208). If the result of determination is that processing has not been completed for all vending machines (No at step S208), the control unit 70 returns to step S201 and continues the processing shown in FIG. On the other hand, if the result of determination is that the processing has been completed for all vending machines (step S208, Yes), the control unit 70 ends the processing shown in FIG.

  As described above, in the third embodiment, the management server 24 (the control unit 70) detects, as a specific product, a product having the highest average number of sales per day among products of a vending machine to be replenished. To do. Therefore, in the third embodiment, even if the specific product cannot be detected due to the inventory turnover rate, in the third embodiment, the specific product can be detected based on the average number of sales per day. For this reason, in the third embodiment, as in the second embodiment, the number of replenishments for each product can be determined according to the trend of the product that is expected to be the most sold, and all the products in the vending machine are expected to be in short supply. It is possible to perform replenishment work aiming at the timing. Therefore, according to the second embodiment, a more efficient replenishment operation can be realized even when the replenishment operation is performed at an arbitrary timing and number of times, such as once every few days or several times a day.

  In the third embodiment, when there are a plurality of products having the highest average sales per day, the management server 24 (the control unit 70) determines each of these products as a specific product, and has been described in the third embodiment. The replenishment number determination process (FIG. 23) may be applied. For example, when the management server 24 (the control unit 70) has a product B and a product C as products having the highest average number of sales per day, the number of supplements when the product B is a specific product. A determination process and a replenishment number determination process when the product C is a specific product are executed. Then, the management server 24 compares the total number of replenishments calculated by the replenishment number determination process when the product B is the specific product with the total number of replenishments calculated by the replenishment number determination process when the product C is the specific product. Then, the data having the larger replenishment total number is finally stored in the replenishment number storage unit 74 as a result of the replenishment number determination process. In this way, as many products as possible can be replenished in one replenishment operation, and the work efficiency of the replenishment operation unit can be increased as much as possible.

(Embodiment 4)
In the third embodiment, as a result of calculating the average number of sales per day of each product of the vending machine to be replenished, the average number of sales per day is not the same, but there is a difference in the average number of sales. There may be cases where multiple products that do not exist appear. There is not much difference in the estimated number of days from the replenishment up to the maximum stock quantity until it is sold out among these products, and the estimated number of days may be the same day depending on how the fractions are normalized. Therefore, in a fourth embodiment below, a replenishment number determination process assuming in advance a case in which a product that does not have much difference in the average number of sales per day will be described.

  The supplement number determination process according to the fourth embodiment will be described with reference to FIGS. 26, 27, and 28. FIG. 26 is a flowchart illustrating the flow of the replenishment number determination process according to the fourth embodiment. FIG. 27 is a diagram illustrating an example of data calculated by the detection unit 70c, the first calculation unit 70d, the second calculation unit 70e, and the third calculation unit 70f in the replenishment number determination process according to the fourth embodiment. FIG. 28 is a diagram illustrating an example of data stored in the supplement number storage unit 74 according to the fourth embodiment.

  As illustrated in FIG. 26, the detection unit 70c refers to the storage unit 72 and acquires data relating to the product configuration, sales, and remaining number of the vending machine to be replenished (step S301).

  Subsequently, the detection unit 70c calculates the average number of sales per day for each product of the vending machine to be replenished (step S302).

  Subsequently, the second calculation unit 70e calculates the estimated number of days from the time of replenishment up to the maximum stock quantity to the time of being sold out for each product of the vending machine to be replenished (step S303). The second computing unit 70e calculates the estimated number of days until the specific product is sold out by dividing the maximum stock quantity by the average number of sales per day for each product of the vending machine to be replenished. When it comes out, it normalizes by the predetermined procedure mentioned above.

  Subsequently, the detection unit 70c determines whether or not there is a single product having the shortest estimated number of days among the estimated days calculated for each product in Step S303 (Step S304).

  As a result of the determination, when the number of products having the shortest estimated number of days is one (step S304, Yes), the detection unit 70c detects the corresponding product as a specific product (step S305). In step S305, the detection unit 70c is the same as detecting a product having the largest average number of sales per day as a specific product.

  Subsequently, for the specific product detected by the detection unit 70c, the first calculation unit 70d determines the replenishment number when the specific product is replenished so as to have the maximum stock quantity, the vending machine data 72b, the sales data 72c, and the remaining number history. Calculation is made based on the data 72e and the like (step S306).

  Subsequently, the third calculation unit 70f calculates the number of replenishments for each of the other products when the products other than the specific product are sold out simultaneously with the specific product among the products of the vending machine to be replenished. , Respectively, based on the estimated number of days and the product information (step S307).

  When the processing up to step S307 is completed, the control unit 70 stores the data such as the number of replenishments (each data such as the identification information of the specific product, the number of supplements of the specific product, the number of supplements of each product other than the specific product). The data is stored in the storage unit 74 (step S308).

  And the control part 70 determines whether the process was complete | finished about all the vending machines used as replenishment object (step S309). If the result of determination is that the processing has not been completed for all vending machines (No at Step S309), the control unit 70 returns to Step S301 and continues the processing shown in FIG. On the other hand, if the result of determination is that the processing has been completed for all vending machines (step S309, Yes), the control unit 70 ends the processing shown in FIG.

  Here, returning to the description of step S304, the detection unit 70c determines that the estimated number of days is the shortest when the number of products having the shortest estimated number of days is not singular and there are a plurality (step S304, No). Each of the certain products is determined as a specific product (step S310). For example, as shown in the data D4 in FIG. 27, when the estimated days of the product B and the product C are the shortest among the products of the first vending machine, the detection unit 70c identifies the product B and the product C, respectively. Decide on a product.

  Subsequently, for each specific product detected by the detection unit 70c, the first calculation unit 70d determines the replenishment number when replenishing the specific product so as to be the maximum stock quantity, the vending machine data 72b, the sales data 72c, and the remaining number. Calculation is performed based on the history data 72e (step S311). As shown in the data D4 in FIG. 27, the first calculation unit 70d determines that the replenishment number “35” of the product C when the specific product is the product C and the replenishment number of the product B when the specific product is the product B. “45” is calculated.

  Subsequently, the third calculation unit 70f calculates the number of replenishments for each of the other products when the products other than the specific product are sold out simultaneously with the specific product among the products of the vending machine to be replenished. For each different pattern of the specific product, the calculation is performed based on the estimated number of days and the product information (step S312). The third calculation unit 70f calculates the number of supplements for each product other than the specific product for each of the pattern in which the specific product is the product C and the pattern in which the specific product is the product B. For example, when the specific product is the product C as in the data D4 shown in FIG. 27, the replenishment number calculated for the product A that is a product other than the specific product is “5”, which is a product other than the specific product. The replenishment number calculated for the product B is “45”. Similarly, as in the data D4 shown in FIG. 27, when the specific product is the product B, the number of supplements calculated for the product A that is a product other than the specific product is “5”. The number of replenishments calculated for a certain product C is “34”.

  Subsequently, the third calculation unit 70f calculates the total number of replenishments obtained by adding the number of replenishments for each product of the vending machine for each different pattern of the specific product (step S313). For example, like the data D4 shown in FIG. 27, the third calculation unit 70f calculates the total number of replenishment “876” for the pattern whose specific product is the product C, and the total number of replenishment “987” for the pattern whose specific product is the product B. "Is calculated.

  When the process of step S313 is completed, the control unit 70 stores data such as the replenishment number in the replenishment number storage unit 74 for the pattern with the larger replenishment total number (step S314). The replenishment number storage unit 74 stores data such as the replenishment number corresponding to the pattern in which the specific product having the larger total replenishment is the product B for the first vending machine. For example, as shown in FIG. 28, specific product identification information “product B”, specific product replenishment number “45” as data such as the number of supplements corresponding to the pattern in which the specific product with the larger total number of supplements is product B ", The replenishment number" 5 "of the product A other than the specific product, the replenishment number" 34 "of the product C, the total number of replenishment" 987 ", and the like are stored.

  When the process of step S314 is completed, the control unit 70 proceeds to the process of step S309 described above.

  As described above, in the fourth embodiment, the management server 24 (the control unit 70) replenishes up to the maximum stock quantity using the average number of sales per day for each product of the vending machine to be replenished. Calculate the estimated number of days from when the item is sold out. Then, when there are a plurality of products having the same estimated number of days, the management server 24 (the control unit 70) calculates the number of replenishments using each as a specific product, and finally the product having a larger total number of replenishments The data of the number of supplements is stored for the specific product pattern. For this reason, according to the fourth embodiment, as many products as possible can be replenished in one replenishment operation, and the work efficiency of the replenishment operation unit can be increased as much as possible.

  In the fourth embodiment, an example of processing in the case where there are a plurality of products whose estimated days until they are sold out in the products of the vending machine to be replenished has been described, but the present invention is not limited to this. For example, if there is not much difference between the number of products with the average number of sales per day and the number of products with the second number, the estimated number of days will not be calculated and these products will be determined as specific products. Then, the replenishment number determination process (FIG. 26) described in the fourth embodiment may be applied. That is, the management server 24 (control unit 70) normalizes the fraction of the estimated number of days between the average sales number of the product whose average sales number per day is the first and the average sales number of the products whose number is second. If there is only an opening that will result in the same day when the product is converted, the first-ranked product and the second-ranked product are determined as specific products, and the process proceeds. For example, the management server 24 (the control unit 70) determines the average sales number of the product B having the first average sales number per day and the average sales number of the product C having the second average sales number per day. If there is only an opening to the extent that the estimated number of days becomes the same day, the replenishment number determination process when the product B is the specific product and the replenishment number determination process when the product C is the specific product Are executed respectively. Then, the management server 24 compares the total number of replenishments calculated by the replenishment number determination process when the product B is the specific product with the total number of replenishments calculated by the replenishment number determination process when the product C is the specific product. Then, the data with the larger total number of supplements is stored in the supplement number storage unit 74 as a result of the supplement number determination process. On the other hand, when the fraction of the estimated number of days is normalized and there is a difference that does not become the same day, the product with the average number of sales is determined as the specific product and the process proceeds. For example, the management server 24 (the control unit 70) determines the average sales number of the product B having the first average sales number per day and the average sales number of the product C having the second average sales number per day. If the estimated number of days (the number of days until the product is sold out) does not reach the same day, the product B with the average number of sales is determined as the specific product and the process proceeds. .

(Embodiment 5)
In Embodiment 4 above, the sum of the number of replenishments calculated for products other than the specific product in the vending machine to be replenished and the remaining number of products left in the column of the vending machine to be replenished is the maximum stock quantity. It may exceed. Therefore, in the fifth embodiment below, a replenishment number determination process assuming in advance a case where the sum of the replenishment number and the remaining number exceeds the maximum inventory number of the column will be described.

  The replenishment number determination process according to the fifth embodiment will be described with reference to FIGS. 29 and 30 are flowcharts showing the flow of the replenishment number determination process according to the fifth embodiment. FIG. 31 is a diagram illustrating an example of data calculated by the detection unit 70c, the first calculation unit 70d, the second calculation unit 70e, and the third calculation unit 70f in the replenishment number determination process according to the fifth embodiment. FIG. 32 is a diagram illustrating an example of data stored in the supplement number storage unit 74 according to the fifth embodiment.

  As illustrated in FIG. 29, the detection unit 70c refers to the storage unit 72 and acquires data relating to the product configuration, sales, and remaining number of the vending machine to be replenished (step S401).

  Subsequently, the detection unit 70c calculates the average number of sales per day for each product of the vending machine to be replenished (step S402).

  Subsequently, the second computing unit 70e calculates the estimated number of days from the time of replenishment up to the maximum stock quantity to the time of being sold out for each product of the vending machine to be replenished (step S403). The second computing unit 70e calculates the estimated number of days until the specific product is sold out by dividing the maximum stock quantity by the average number of sales per day for each product of the vending machine to be replenished. When it comes out, it normalizes by the predetermined procedure mentioned above.

  Subsequently, the detection unit 70c determines whether or not there is a single product having the shortest estimated number of days among the estimated days calculated for each product in Step S403 (Step S404).

  As a result of the determination, when the number of products having the shortest estimated number of days is one (step S404, Yes), the detection unit 70c detects the corresponding product as a specific product (step S405).

  Subsequently, for the specific product detected by the detection unit 70c, the first calculation unit 70d determines the replenishment number when the specific product is replenished so as to have the maximum stock quantity, the vending machine data 72b, the sales data 72c, and the remaining number history. Calculation is made based on the data 72e or the like (step S406).

  Subsequently, the third calculation unit 70f calculates the number of replenishments for each of the other products when the products other than the specific product are sold out simultaneously with the specific product among the products of the vending machine to be replenished. , Respectively, based on the estimated number of days and the product information (step S407).

  When the processing up to step S407 is completed, the control unit 70 obtains data such as the number of replenishments (each data such as identification information of a specific product, the number of supplements of a specific product, and the number of supplements of each product other than the specific product). The data is stored in the storage unit 74 (step S408).

  And the control part 70 determines whether the process was complete | finished about all the vending machines used as replenishment object (step S409). If the control unit 70 determines that the processing has not been completed for all of the vending machines (No at Step S409), the process returns to Step S401 and the process shown in FIG. 29 is continued. On the other hand, if the result of determination is that the processing has been completed for all vending machines (step S409, Yes), the control unit 70 ends the processing shown in FIG.

  Here, when returning to the description of step S404, the detection unit 70c determines that the estimated number of days is the shortest when the number of products having the shortest estimated number of days is not a single number as a result of the determination (No in step S404). Each of the certain products is determined as a specific product (step S410). For example, when the estimated number of days for the products B and C is the shortest among the products of the first vending machine as in the data D5 illustrated in FIG. 31, the detection unit 70c identifies the products B and C, respectively. Decide on a product.

  Subsequently, for each specific product detected by the detection unit 70c, the first calculation unit 70d determines the replenishment number when replenishing the specific product so as to be the maximum stock quantity, the vending machine data 72b, the sales data 72c, and the remaining number. Calculation is performed based on the history data 72e (step S411). As in the data D5 illustrated in FIG. 31, the first calculation unit 70d determines that the replenishment number “35” of the product C when the specific product is the product C and the replenishment number of the product B when the specific product is the product B. “45” is calculated.

  Subsequently, the third calculation unit 70f calculates the number of replenishments for each of the other products when the products other than the specific product are sold out simultaneously with the specific product among the products of the vending machine to be replenished. For each different pattern of the specific product, the calculation is performed based on the estimated number of days and the product information (step S412). The third calculation unit 70f calculates the number of supplements for each product other than the specific product for each of the pattern in which the specific product is the product C and the pattern in which the specific product is the product B. For example, when the specific product is the product C as in the data D5 shown in FIG. 31, the replenishment number calculated for the product A that is a product other than the specific product is “5”, which is a product other than the specific product. The number of replenishments calculated for product B is “48”. Similarly, as in the data D5 shown in FIG. 31, when the specific product is the product B, the replenishment number calculated for the product A that is a product other than the specific product is “5”. The replenishment number calculated for a certain product C is “50”.

  Subsequently, the third calculation unit 70f calculates the total number of replenishments obtained by adding the number of replenishments for each product of the vending machine for each different pattern of the specific product (step S413). For example, as in the data D5 illustrated in FIG. 31, the third calculation unit 70f calculates the replenishment total number “999” for the pattern in which the specific product is the product C, and the replenishment total number “1234” for the pattern in which the specific product is the product B. "Is calculated.

  When the process of step S413 is completed, the control unit 70 determines whether there is data in the product of the vending machine to be replenished in which the total number of the replenishment number and the remaining number exceeds the maximum stock quantity of the column. (Step S414).

  As a result of the determination, when there is no data in which the total number of the replenishment number and the remaining number exceeds the maximum stock number of the column (No in step S414), the control unit 70 determines the replenishment number for the pattern having the larger replenishment total number. And the like are stored in the replenishment number storage 74 (step S415). Then, the control unit 70 proceeds to the process of step S409 described above.

  On the other hand, as a result of the determination, when there is data in which the total number of the replenishment number and the remaining number exceeds the maximum stock quantity of the column (step S414, Yes), the control unit 70 determines the maximum for each different pattern of the specific product. The difference between the number of stocks and the total number (the total number of the replenishment number and the remaining number) is calculated and calculated as the replenishment adjustment number (step S416). For example, as in the data D5 illustrated in FIG. 31, when the specific product is the product C, the control unit 70 determines that the replenishment adjustment number calculated for the product A that is a product other than the specific product is “0”. The number of replenishment adjustments calculated for the product B which is a product other than the product is “3”. Similarly, as in the data D5 shown in FIG. 31, when the specific product is the product B, the replenishment number calculated for the product A that is a product other than the specific product is “0”. The number of replenishments calculated for a certain product C is “5”. In the process of step S416, the control unit 70 is an example of a fourth calculation unit.

  Subsequently, the control unit 70 stores data such as the replenishment number and the adjustment number (replenishment adjustment number) corresponding to the pattern in the replenishment number storage unit 74 for the pattern having the larger replenishment total number (step S417). For example, as shown in FIG. 32, the identification information “product B” of the specific product, the replenishment number of the specific product “45” as data such as the number of replenishment corresponding to the pattern in which the specific product with the larger total number of replenishments is the product B. ”And the replenishment adjustment number“ 0 ”, the replenishment number“ 5 ”and the replenishment adjustment number“ 0 ”for the product A other than the specific product, the replenishment number“ 50 ”and the replenishment adjustment number“ 5 ”for the product C other than the specific product, and the replenishment The total number “1234” is stored. Then, the control unit 70 proceeds to the process of step S409 described above.

  In the process of step S416, the control unit 70 may calculate the replenishment adjustment number for the replenishment total number.

  As described above, in the fifth embodiment, the sum of the number of replenishments calculated for products other than the specific product in the vending machine to be replenished and the remaining number of products left in the column of the vending machine to be replenished is If the maximum number of stocks that can be replenished in the column is exceeded, the amount exceeding the maximum stock number is calculated as a replenishment adjustment number and recorded in the replenishment number storage unit 74. For this reason, in Embodiment 5, in the replenishment operation, it is possible to prevent waste of transporting products that cannot be replenished to the column.

  Even when a specific product is detected using the inventory turnover rate described in the second embodiment, the number of replenishments calculated for a product other than the specific product in the vending machine to be replenished and the column of the vending machine to be replenished When the sum of the remaining number of remaining products exceeds the maximum stock quantity that can be replenished in the column, the replenishment adjustment number may be calculated as in the fifth embodiment.

(Embodiment 6)
In the replenishment number determination process according to Embodiments 2 to 5 described above, delivery such as assignment of a delivery person who performs replenishment work is performed using data such as the replenishment number determined for each product of the vending machine to be replenished. An example of processing of the management unit 70a will be described. In the following Embodiment 6, it is assumed that 50 replenishment operations can be performed by one replenishment operation among vending machines to be replenished.

  FIG. 33 is a flowchart showing the flow of processing by the delivery management unit 70a according to the sixth embodiment. As shown in FIG. 33, the delivery management unit 70a refers to the replenishment number storage unit 74 and extracts 50 vending machines from the replenishment target vending machines having the largest number of replenishment items (see FIG. 33). Step S501).

  Subsequently, the delivery management unit 70a extracts the vending machine having the largest number of replenishments from the 50 vending machines extracted in step S501, from among the vending machines that have not yet been assigned a delivery vehicle (step S502).

  Subsequently, the delivery management unit 70a executes allocation of delivery vehicles most suitable for the replenishment work of the vending machine extracted in step S502 (step S503). The delivery vehicle most suitable for the replenishment operation of the vending machine includes, for example, a delivery vehicle having a load capacity that can correspond to the product configuration of the vending machine and the total number of replenishments.

  Subsequently, the delivery management unit 70a determines whether or not the allocation of delivery vehicles to all the vending machines that are the targets of the replenishment work has been completed (step S504).

  As a result of the determination, if the allocation of delivery vehicles to all vending machines is not completed (No at Step S504), the delivery management unit 70a returns to the process at Step S502. On the other hand, if it is determined that the delivery vehicles have been assigned to all the vending machines as a result of the determination (step S504, Yes), the delivery management unit 70a ends the process shown in FIG.

  After the allocation of the delivery vehicle is completed, for example, the delivery management unit 70a transmits information on the allocation of the delivery vehicle and the vending machine to the operating device 22. In addition, the delivery management unit 70a provides information on the list of products to be replenished created by referring to the replenishment number data stored in the replenishment number storage unit 74, for example, by the operator of the operating device 22 or the delivery vehicle. It transmits to the portable terminal 20.

  In the sixth embodiment, among the vending machines to be replenished, priority is given to the one having a large total number of replenishments, and the delivery vehicles are assigned, so that the work ability can be concentrated at a place where the work load is large.

  In FIG. 33, an example in which delivery vehicles are assigned with priority given to a vending machine with a large replenishment number among replenishment vending machines has been described. At this time, each allocation area obtained by dividing the service area 13 into four Delivery vehicles may be assigned in consideration of 110 and the like (see FIG. 8). For example, delivery vehicles may be allocated in order from the vending machine with the largest number of replenishments in the allocation area.

  In addition, when a single delivery vehicle can replenish a plurality of vending machines, the number of vending machines that can be replenished by a single delivery vehicle is automatically increased in the assigned area. You may make it allocate in order from a vending machine.

DESCRIPTION OF SYMBOLS 10 Vending machine management system 12 Sales office 13 Service area 14, 14a, 14b, 102, 104, 106 Vending machine 16, 17 Delivery vehicle 20 Portable terminal 22 Operating device 24 Management server 28 Network 30, 40, 50, 60, 70 control unit 32, 42, 52, 62, 72 storage unit 34, 44, 54 near field communication unit 36, 56, 68, 76 communication unit 64 display unit 66 input unit 70a delivery management unit 70b product management unit 70c detection unit 70d First calculation unit 70e Second calculation unit 70f Third calculation unit 72a Sales office data 72b Vending machine data 72c Sales data 72d Replenishment history data 72e Remaining number history data 72f Condition table 74 Replenishment number storage unit 110, 112, 114, 116, 130 , 132, 134 Allocation area 120, 12 2 Target area

Claims (7)

Information on the vending machine, product information including the number of sales for each product of the vending machine and the remaining number for each product of the vending machine, information on an operator who performs the management operation of the product, the vending machine A storage unit that stores a replenishment standard for the product and a maximum stock number for each product that is the maximum number that can be stored in the vending machine;
Based on the product information and the replenishment criteria, among the products of the vending machine extracted as the replenishment target of the product, a specific product that is estimated to have the shortest number of days until sold out is used as the product information. A detection unit for detecting based on;
A first computing unit that calculates the replenishment number of the specific product based on the product information when replenishing the specific product detected by the detection unit so as to have a maximum stock quantity;
A second computing unit that calculates an estimated number of days until the specific product is sold out after replenishing the specific product detected by the detection unit so as to become a maximum stock quantity; and
Among the products of the vending machine to be replenished, for each product other than the specific product, the number of replenishment when sold out simultaneously with the specific product, respectively, based on the estimated days and the product information A third computing unit to calculate;
Information on the vending machine to be replenished, the replenishment number of the specific product calculated by the first calculation unit, the replenishment number of each product other than the specific product calculated by the third calculation unit, A delivery management unit that determines allocation of a delivery vehicle used for the management work and the vending machine to be replenished based on the information of the worker who performs the management work of goods. Management server characterized by The storage unit further stores, for each product of the vending machine, a replenishment unit number that is an average number of the product replenished by one replenishment operation,
The detection unit calculates an average number of sales within a certain period for each product based on the product information, and calculates an inventory turnover rate that is a value obtained by dividing the average sales for each product by the number of replenishment units. And the product with the calculated inventory turnover is the largest among the products is detected as the specific product,
The first calculation unit calculates the replenishment number of the specific product based on the remaining number of the specific product and the maximum stock quantity,
The management server according to claim 1, wherein the second calculation unit calculates the estimated number of days using the average number of sales of the specific product. The detection unit calculates an average number of sales within a certain period for each product based on the product information, and detects a product whose calculated average sales is the largest among the products as the specific product. ,
The first calculation unit calculates the replenishment number of the specific product based on the remaining number of the specific product and the maximum stock quantity,
The management server according to claim 1, wherein the second calculation unit calculates the estimated number of days using the average number of sales of the specific product.   When there is a product whose sum of the replenishment number calculated by the third arithmetic unit and the remaining number exceeds the maximum stock number, a number exceeding the maximum stock number is calculated as a replenishment adjustment number. The management server according to claim 2, further comprising a calculation unit.   The delivery management unit includes, among the vending machines to be replenished, the number of replenishments of the specific product calculated by the first calculation unit and each product other than the specific product calculated by the third calculation unit. The management server according to any one of claims 2 to 4, wherein the allocation is determined with priority given to a large replenishment sum total of the replenishment number. A product delivery method that is executed by a management server that manages products of a plurality of vending machines,
Information on the vending machine, product information including the number of sales for each product of the vending machine and the remaining number for each product of the vending machine, information on an operator who performs the management operation of the product, the vending machine The product information and the replenishment criteria are read from a storage unit that stores the replenishment criteria for the product and the maximum stock quantity for each product that is the maximum number that can be accommodated in the vending machine. Extracting vending machines to be replenished with the product based on the information and the replenishment criteria; and
Detecting, based on the product information, a specific product that is estimated to have the shortest number of days until sold out among the extracted products of the vending machine;
Calculating the replenishment number of the specific product based on the product information when replenishing the specific product to be the maximum stock quantity;
Calculating the estimated number of days until the specific product is sold out after replenishing the specific product so as to have the maximum stock quantity; and
Among the products of the vending machine to be replenished, for each product other than the specific product, the number of replenishment when sold out simultaneously with the specific product, respectively, based on the estimated days and the product information A calculating step;
The information on the vending machine to be replenished and the information on the worker who performs the replenishment work of the product are read from the storage unit, and the read information on the vending machine to be replenished and the management work of the product are read. Based on the information of the worker to be executed, the number of replenishment of the specific product and the number of replenishment of each product other than the specific product, the delivery vehicle used by each worker for the management work and the automatic sales of the replenishment target And a step of determining an assignment with a machine. A vending machine management system comprising a management server for managing products of a plurality of vending machines and an operating device,
The management server
Information on the vending machine, product information including the number of sales for each product of the vending machine and the remaining number for each product of the vending machine, information on an operator who performs the management operation of the product, the vending machine A storage unit that stores a replenishment standard for the product and a maximum stock number for each product that is the maximum number that can be stored in the vending machine;
Based on the product information and the replenishment criteria, among the products of the vending machine extracted as the replenishment target of the product, a specific product that is estimated to have the shortest number of days until sold out is used as the product information. A detection unit for detecting based on;
A first computing unit that calculates the replenishment number of the specific product based on the product information when replenishing the specific product detected by the detection unit so as to have a maximum stock quantity;
A second computing unit that calculates an estimated number of days until the specific product is sold out after replenishing the specific product detected by the detection unit so as to become a maximum stock quantity; and
Among the products of the vending machine to be replenished, for each product other than the specific product, the number of replenishment when sold out simultaneously with the specific product, respectively, based on the estimated days and the product information A third computing unit to calculate;
Information on the vending machine to be replenished, the replenishment number of the specific product calculated by the first calculation unit, the replenishment number of each product other than the specific product calculated by the third calculation unit, A delivery management unit that determines allocation of a delivery vehicle used for the management work and the vending machine to be replenished based on the information of the worker who performs the management work of the product. ,
The operating device is:
An input unit for inputting information on a worker who performs management of the product, information on the vending machine, and replenishment criteria for the product of the vending machine;
A vending machine management system comprising: a communication unit that receives allocation information between a delivery vehicle used for the management work by the worker determined by the management server and the vending machine to be replenished.

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