JP2017215829A - Information processing device, order processing system, order processing method, and order processing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To suppress an increase in queue length.SOLUTION: An information processing device 100 receives orders including group information from a terminal T of a visitor. The information processing device 100 specifies a processing time and/or queue length relating to the orders of each group G specified from the group information included in the received order. The orders of the group G summarizes the orders received from the terminal T of each visitor in the group G. The processing time related to the orders of the group G is a time required to process the orders of the group G. The queue length related to the orders of the group G is a queue length generated by the orders of the group G. The information processing device 100 determines orders of processing objects on the basis of the processing time and/or the queue length relating to the orders of each specified group G.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an information processing apparatus, an order processing system, an order processing method, and an order processing program.

  Traditionally, there are stores that have introduced drive-throughs that allow users to receive products and services while riding a car or motorcycle. For example, a user who enters a drive-through in a car can order, receive, and pay for goods through the window without getting out of the car.

  As a prior art, for example, when a user visits an FC (Franchise Chain) store, the order information stored in the mobile phone is transmitted to the order receiving terminal by short-range wireless communication, and the product sold at the FC store. There is something to order and settle. Further, there is a technique for preventing unauthorized access from a person other than a true user in a system that accepts an order using a portable terminal possessed by a user such as a restaurant. In addition, after setting the conditions for starting the preparation to provide the ordered product based on the contents of the order and the reference information, it is determined whether or not the set condition is satisfied after receiving an order for the product. There is a technique for transmitting a preparation start instruction signal to the wireless slave device when it is determined.

JP 2007-172383 A JP 2006-302218 A JP2013-137755A

  However, in the prior art, the queue length at a window such as drive-through may increase. For example, if the window of the drive-through is congested, the lane of vehicles waiting for orders or goods becomes long, which may cause traffic congestion on the surrounding roads.

  In one aspect, the present invention aims to suppress an increase in queue length.

  According to one aspect of the present invention, an order including group information is received from an attendee's terminal, and the processing time and / or queue length associated with each group order specified from the group information included in the received order is determined. An information processing apparatus, an order processing system, an order processing method, and an order processing program that identify and determine an order to be processed based on the processing time and / or the queue length are proposed.

  Moreover, according to one aspect of the present invention, each group identified from the group information included in the received order that receives the order including group information from the terminal of the visitor who orders the product and the terminal of the visitor An order processing system is proposed that includes an information processing device that specifies a processing time and / or a queue length related to an order and determines an order to be processed based on the processing time and / or the queue length The

  According to one aspect of the present invention, an increase in queue length can be suppressed.

FIG. 1 is an explanatory diagram of an example of the order processing method according to the first embodiment. FIG. 2 is an explanatory diagram showing a system configuration example of the order processing system 200. FIG. 3 is a block diagram illustrating a hardware configuration example of the information processing apparatus 100. FIG. 4 is a block diagram illustrating a hardware configuration example of the terminal T. FIG. 5 is an explanatory diagram (part 1) illustrating an example of the contents stored in the order DB 220. FIG. 6 is an explanatory diagram showing an example of the contents stored in the standard preparation time DB 230. FIG. 7 is an explanatory diagram showing a screen example of the order screen 700. FIG. 8 is an explanatory diagram showing a screen example of the preparation instruction screen 800. FIG. 9 is a block diagram illustrating a functional configuration example of the information processing apparatus 100. FIG. 10 is an explanatory diagram showing an example of the contents stored in the vehicle length table 1000. FIG. 11 is an explanatory diagram illustrating an example of the contents stored in the priority table 1100. FIG. 12 is a sequence diagram illustrating an example of a grouping process procedure of the order processing system 200 according to the second embodiment. FIG. 13 is a flowchart of an example of a delivery process procedure of the information processing apparatus 100 according to the second embodiment. FIG. 14 is a flowchart of an example of an order reception process procedure of the information processing apparatus 100 according to the second embodiment. FIG. 15 is a flowchart of an example of a process target determination process procedure when the group order is completed according to the second embodiment. FIG. 16 is a flowchart illustrating an example of a specific processing procedure of the priority calculation processing. FIG. 17 is a flowchart of an example of a processing target determination processing procedure when preparation for the information processing apparatus 100 according to the second embodiment is completed. FIG. 18 is a sequence diagram illustrating an example of a grouping process procedure of the order processing system 200 according to the third embodiment. FIG. 19 is an explanatory diagram (part 2) illustrating an example of the contents stored in the order DB 220. FIG. 20 is a flowchart of an example of an order receiving process procedure of the information processing apparatus 100 according to the third embodiment. FIG. 21 is a sequence diagram illustrating an example of a grouping process procedure of the order processing system 200 according to the fourth embodiment. FIG. 22 is a sequence diagram illustrating an example of a grouping process procedure of the order processing system 200 according to the fifth embodiment. FIG. 23 is an explanatory diagram (part 3) of an example of the contents stored in the order DB 220. FIG. 24 is a flowchart of an example of an order reception process procedure of the information processing apparatus 100 according to the fifth embodiment.

  Exemplary embodiments of an information processing apparatus, an order processing system, an order processing method, and an order processing program according to the present invention will be described below in detail with reference to the drawings.

(Embodiment 1)
FIG. 1 is an explanatory diagram of an example of the order processing method according to the first embodiment. In FIG. 1, an information processing apparatus 100 is a computer that determines an order to be processed. Here, the order is a purchase request for goods (or services). A product (or service) requires a preparation time between receiving an order and providing it. Examples of the products include foods and drinks sold at hamburger stores and coffee chain stores, as well as drugs sold at dispensing pharmacies.

  Here, the drive-through is a facility that can receive provision of goods and services while riding a car or motorcycle. The user can conveniently order, receive, pay, etc. through the window without getting out of the car. On the other hand, if the drive-through window is congested, the queue of vehicles waiting for orders or commodities becomes longer, which may cause traffic congestion on the surrounding roads.

  In order to avoid traffic congestion on the surrounding roads, for example, if a window is congested, a shop assistant with a terminal may go to order. However, personnel for ordering will be secured, leading to an increase in labor costs. Furthermore, orders corresponding to the store clerk are made in the order of trains, and there are many cases where no measures are taken with the traffic congestion in the surrounding roads in mind.

  Therefore, for example, when a large number of orders are generated from a certain vehicle, the waiting time of the following vehicle increases. Such a problem is not limited to drive-through, but can be a problem that can occur if the store is in a form where the orderer waits in line. For example, if the window becomes crowded and the line becomes long, and the line reaches other stores, the business of other stores will be hindered.

  Therefore, in the present embodiment, among the orders that are grouped, priority is given to processing that is highly effective in shortening the queue length when the orderer of the group leaves the queue. An order processing method for suppressing the increase will be described. Hereinafter, a processing example of the information processing apparatus 100 will be described.

  (1) The information processing apparatus 100 receives an order including group information from the terminal T of the visitor. Here, the visitors are users who have entered the store for ordering, for example, users who have entered the drive-through while riding a car.

  The terminal T is a computer used by a visitor, and is, for example, a smartphone, a mobile phone, a tablet PC (Personal Computer), or the like. An application for ordering products is installed on the terminal T. Visitors can use this application to order products.

  In the following description, an application for ordering goods may be referred to as “order application AP”. The order application AP may be distributed to the terminal T when visiting the store, or may be installed in the terminal T in advance before visiting the store.

  The group information is information that identifies the group G. Group G is a group of visitors who are likely to act together. For example, the group G is a group of users who visit the store together or a group of users who enter the drive through the same vehicle. . The group information may be any information as long as the group G can be specified. For example, the group information may be a keyword common to terminals input at the terminals T of the visitors in the group G.

  In the example of FIG. 1, vehicles C <b> 1 to C <b> 3 that have entered the drive-through of the store X are shown. The vehicle C1 has three visitors who form the group G1, the vehicle C2 has two visitors who form the group G2, and the vehicle C3 forms the group G3. Four visitors are on board. Here, it is assumed that the information processing apparatus 100 has received orders including group information for identifying the groups G1 to G3 from the terminals T of the visitors on the vehicles C1 to C3.

  (2) The information processing apparatus 100 specifies the processing time and / or queue length related to the order of each group G specified from the group information included in the received order. Here, the order of the group G is an aggregation (grouping) of orders received from the terminals T of the visitors in the group G. The processing time related to the order of the group G is the time required to process the order of the group G, and is specified from, for example, the standard time required for preparation of the ordered product.

  Further, the queue length related to the group G order is the queue length generated by the group G order. The queue length related to the order of the group G is specified from the number of visitors (waiting number of people) belonging to the group G, for example, in the case of a store where the orderer waits in line, It is specified from the vehicle length of the vehicle (entrance vehicle) on which the visitors in G are riding.

  In the example of FIG. 1, it is assumed that the processing times t1 to t3 related to the orders of the groups G1 to G3 are specified (where t3> t1> t2).

  (3) The information processing apparatus 100 determines an order to be processed based on the processing time and / or queue length related to the order of each identified group G. Here, the shorter the processing time related to the order of the group G, the longer the group G leaves the queue, so the effect of shortening the queue length is greater.

  Further, the longer the queue length related to the order of the group G, the greater the effect of shortening the queue length when the group G leaves the queue. Therefore, the information processing apparatus 100 processes, for example, an order of the group G having a relatively short processing time related to the order and / or a relatively long queue length related to the order among the plurality of groups G. Decide on the target order.

  In the example of FIG. 1, the information processing apparatus 100 determines the order of the group G2 having the shortest processing time t2 related to the order among the groups G1 to G3 as the order to be processed. Then, the information processing apparatus 100 instructs the store clerk of the store X to prepare for the determined processing target order (order of the group G2).

  As described above, according to the information processing apparatus 100 according to the first embodiment, an order including group information is received from the terminal T of the visitor, and the order of each group G specified from the group information included in the received order is received. Such processing time and / or queue length can be identified, and an order to be processed can be determined based on the processing time and / or queue length.

  Thereby, it becomes possible to process preferentially from the order of the group G that has a large effect of shortening the queue length, and it is possible to suppress an increase in the queue length.

  In the example of FIG. 1, it is possible to preferentially process an order of the group G2 that has the shortest processing time for the order and has a large effect of shortening the queue length. As a result, for example, the queue length can be shortened by (t1-t2) hours earlier than when the orders of the groups G1 to G3 are processed in the order of trains (G1⇒G2⇒G3). The occurrence of traffic congestion on the road can be suppressed.

(Embodiment 2)
Next, a system configuration example of the order processing system 200 according to the second embodiment will be described. In the second embodiment, a case where the order processing system 200 is applied to a drive-through of a hamburger store will be described as an example. In addition, about the location similar to the location demonstrated in Embodiment 1, the same code | symbol is attached | subjected and description is abbreviate | omitted.

  FIG. 2 is an explanatory diagram showing a system configuration example of the order processing system 200. In FIG. 2, the order processing system 200 includes an information processing device 100, a store terminal 201, a radio base station 202, a vehicle detection device 203, and a plurality of terminals T. In the order processing system 200, the information processing apparatus 100, the store terminal 201, the wireless base station 202, and the vehicle detection apparatus 203 are connected via a wired or wireless network 210. The network 210 includes, for example, a LAN, a WAN (Wide Area Network), the Internet, and the like.

  The information processing apparatus 100 includes an order DB (DataBase) 220 and a standard preparation time DB 230, and determines an order to be processed. The information processing apparatus 100 is a server, for example. The contents stored in the order DB 220 and the standard preparation time DB 230 will be described later with reference to FIGS.

  The store terminal 201 is a computer used by a clerk at a hamburger store. For example, a preparation instruction screen 800 as shown in FIG. 8 to be described later is displayed on the store terminal 201, and information on an order to start preparation is presented to a clerk at the hamburger store.

  The wireless base station 202 can wirelessly communicate with a terminal T of a visitor who has entered a burger shop drive-through. The wireless base station 202 is, for example, a wireless LAN access point. In the example of FIG. 2, only one radio base station 202 is displayed, but a plurality of radio base stations 202 may be provided.

  The vehicle detection device 203 is a computer that detects the entering vehicle C. Here, the entrance vehicle C is a vehicle that has entered the drive-through of a hamburger store. Specifically, for example, the vehicle detection device 203 may detect the entering vehicle C by an infrared device (not shown) installed on the approach path to the drive-through.

  Further, the vehicle detection device 203 has a transmitter 204, and in response to detecting the entrance vehicle C, the vehicle detection device 203 sends a beacon ID (identification), which is a beacon signal that uniquely identifies the detected entrance vehicle C, from the transmitter 204. Send. Thereby, the beacon ID that uniquely identifies the entering vehicle C can be received by the terminal T of the visitor riding in the entering vehicle C.

  The vehicle detection device 203 detects the vehicle length of the entrance vehicle C. Here, the vehicle length of the entrance vehicle C is the total length of the entrance vehicle C (the distance between the front and rear ends). Specifically, for example, the vehicle detection device 203 detects the entrance vehicle C and detects the front of the entrance vehicle C with two cameras (not shown) installed at a position overlooking the entrance vehicle C. And take a picture of the rear at the same time. Then, the vehicle detection device 203 detects the vehicle length of the entering vehicle C by performing image processing on the two captured camera images.

  For a specific method for detecting the vehicle length, reference can be made to, for example, Japanese Patent Application Laid-Open No. 5-284604.

  Further, the vehicle detection device 203 associates the beacon ID transmitted in response to the detection of the entering vehicle C and the detected vehicle length of the entering vehicle C, and transmits them to the information processing device 100. As a result, the information processing apparatus 100 can manage the beacon ID that uniquely identifies the entry vehicle C and the vehicle length of the entry vehicle C in association with each other (see, for example, the vehicle length table 1000 shown in FIG. 10 described later). ).

  The terminal T is a computer that can wirelessly communicate with the wireless base station 202, and is, for example, a smartphone, a mobile phone, a tablet PC, or the like used by a visitor.

  In the order processing system 200, the radio base station 202 periodically transmits a location ID. The location ID is information for identifying the radio base station 202. As the location ID, for example, the SSID (Service Set Identifier) of the wireless base station 202 can be used.

  The visitor's terminal T transmits a connection request signal to the information processing apparatus 100 via the wireless base station 202 in response to receiving the location ID from the wireless base station 202. The information processing apparatus 100 distributes the order application AP to the visitors terminal T in response to receiving the connection request signal from the visitors terminal T.

  As a result, the order application AP is executed on the terminal T of the visitor, and the product can be ordered from the order screen 700 as shown in FIG.

  The terminal T may hold the order application AP distributed from the information processing apparatus 100 in association with the location ID of the radio base station 202. Thereby, thereafter, the terminal T can automatically start the order application AP corresponding to the location ID in response to receiving the location ID from the radio base station 202.

(Hardware configuration example of information processing apparatus 100)
FIG. 3 is a block diagram illustrating a hardware configuration example of the information processing apparatus 100. In FIG. 3, the information processing apparatus 100 includes a CPU (Central Processing Unit) 301, a memory 302, an I / F (Interface) 303, a disk drive 304, and a disk 305. Each component is connected by a bus 300.

  Here, the CPU 301 governs overall control of the information processing apparatus 100. The memory 302 includes, for example, a ROM (Read Only Memory), a RAM (Random Access Memory), and a flash ROM. Specifically, for example, a flash ROM or ROM stores various programs, and a RAM is used as a work area for the CPU 301. The program stored in the memory 302 is loaded into the CPU 301 to cause the CPU 301 to execute the coded process.

  The I / F 303 is connected to the network 210 through a communication line, and is connected to an external computer (for example, the store terminal 201, the wireless base station 202, the vehicle detection device 203, and the terminal T illustrated in FIG. 2) via the network 210. The The I / F 303 controls an interface between the network 210 and the inside of the apparatus, and controls data input / output from an external computer. For example, a modem or a LAN adapter may be employed as the I / F 303.

  The disk drive 304 controls reading / writing of data with respect to the disk 305 according to the control of the CPU 301. The disk 305 stores data written under the control of the disk drive 304. Examples of the disk 305 include a magnetic disk and an optical disk.

  Note that the information processing apparatus 100 may include, for example, an SSD (Solid State Drive), a keyboard, a mouse, and a display in addition to the above-described components. Further, the radio base station 202 and the vehicle detection device 203 shown in FIG. 2 can also be realized by a hardware configuration similar to that of the information processing device 100. However, the vehicle detection device 203 includes, for example, a transmitter 204 (see FIG. 2), a camera (not shown), and the like.

(Example of hardware configuration of terminal T)
FIG. 4 is a block diagram illustrating a hardware configuration example of the terminal T. 4, the terminal T includes a CPU 401, a memory 402, an I / F 403, a display 404, and an input device 405. Each component is connected by a bus 400.

  Here, the CPU 401 governs overall control of the terminal T. The memory 402 includes, for example, a ROM, a RAM, a flash ROM, and the like. Specifically, for example, a flash ROM or ROM stores various programs, and the RAM is used as a work area of the CPU 401. The program stored in the memory 402 is loaded on the CPU 401 to cause the CPU 401 to execute the coded process.

  The I / F 403 includes a wireless communication circuit and an antenna, is connected to the network 210 (see FIG. 2) via the wireless base station 202, and is connected to another computer (for example, the information processing apparatus 100) via the network 210. Is done. The I / F 403 serves as an interface between the network 210 and the apparatus itself, and controls input / output of data from other computers.

  A display 404 displays data such as a document, an image, and function information as well as a cursor, an icon, or a tool box. For example, a liquid crystal display or an organic EL (Electroluminescence) display can be adopted as the display 404.

  The input device 405 has keys for inputting characters, numbers, various instructions, and the like, and inputs data. The input device 405 may be a keyboard or a mouse, or may be a touch panel type input pad or a numeric keypad.

  Note that the terminal T may include, for example, a disk drive, a disk, an SSD, and the like in addition to the components described above. Further, the store terminal 201 shown in FIG. 2 can also be realized by the same hardware configuration as the information processing apparatus 100.

(Storage contents of various DBs 220 and 230)
Next, contents stored in the various DBs 220 and 230 included in the information processing apparatus 100 will be described with reference to FIGS. 5 and 6. The various DBs 220 and 230 are realized by a storage device such as the memory 302 and the disk 305 shown in FIG.

  FIG. 5 is an explanatory diagram (part 1) illustrating an example of the contents stored in the order DB 220. In FIG. 5, the order DB 220 includes fields for order ID, beacon ID, order reception ID, terminal ID, order time, order contents, and order status. By setting information in each field, order information (for example, Order information 500-1 to 500-3) is stored as a record.

  Here, the order ID is an identifier for uniquely identifying an order received from the terminal T. For example, the order ID is newly generated when the information processing apparatus 100 receives an order. The beacon ID is an identifier that uniquely identifies the entering vehicle C.

  The order reception ID is an identifier for uniquely identifying an order of the group G. The group G is formed by, for example, visitors who are on the entrance vehicle C. In other words, the order reception ID is also an identifier for uniquely identifying the group G formed by the visitors who are on the entrance vehicle C.

  The terminal ID is an identifier that uniquely identifies the ordering terminal T. As the terminal ID, for example, the IP (Internet Protocol) address of the terminal T can be used. The order time indicates the date and time when the order is received from the terminal T.

  The order content indicates the content of the order received from the terminal T. “P #: $” in FIG. 5 indicates that $ products with the product ID “P #” have been ordered. The order status indicates the status of the order received from the terminal T. As the order status, for example, statuses such as group order completion wait, preparation wait, preparation in progress and preparation completion are set.

  The group order completion wait state is a state of waiting for the group G order to be completed. The waiting for preparation is a state in which the order of the group G is completed and the preparation for the order of the group G is started. During preparation, the group G order is being prepared. Preparation complete is a state in which the preparation for the order of the group G is completed.

  The stored contents of the order DB 220 are updated in response to the information processing apparatus 100 receiving an order from the terminal T, for example.

  FIG. 6 is an explanatory diagram showing an example of the contents stored in the standard preparation time DB 230. In FIG. 6, the standard preparation time DB 230 includes fields for product ID and standard preparation time. By setting information in each field, standard preparation time information (for example, standard preparation time information 600-1 to 600-3). ) Is stored as a record.

  Here, the product ID is an identifier for uniquely identifying the product. The standard preparation time is a standard time required for preparing a product. The standard preparation time is set based on, for example, the past processing time required for the preparation of the product, the skill of the store clerk, and the like. For products that can be prepared in parallel with other products, the standard preparation time may be set in consideration of the parallelism of the work.

(Screen example of order screen 700)
Next, a screen example of the order screen 700 displayed on the display 404 of the terminal T will be described with reference to FIG. In the following description, a case where a touch operation using the input device 405 shown in FIG. 4 is performed as an operation for the user to select items and buttons displayed on the operation screen will be described as an example.

  FIG. 7 is an explanatory diagram showing a screen example of the order screen 700. In FIG. 7, an order screen 700 includes a menu screen 710 and buttons B1 to B4, and is an operation screen for ordering products. On the menu screen 710, an image and a unit price of a product sold in a hamburger store (in the example of FIG. 7, hamburger and potato) are displayed.

  For example, if the user touches a box 711 in the menu screen 710 on the order screen 700, the number of orders for the hamburger (product ID: P1) can be input. Further, when a button 712 is touched on the order screen 700, hamburgers corresponding to the number of orders entered can be put in the shopping cart.

  In addition, when the user touches a box 713 in the menu screen 710 on the order screen 700, the order number of the potato (product ID: P2) can be input. In addition, when a button 714 is touched on the order screen 700, potatoes corresponding to the number of orders entered can be put in the shopping cart.

  In addition, when the button B1 is touched on the order screen 700, the display content of the menu screen 710 can be switched to another menu. In addition, when the button B2 is touched on the order screen 700, it is possible to confirm the product put in the shopping cart. In addition, when the button B3 is touched on the order screen 700, the information processing apparatus 100 can be ordered for the product put in the shopping cart.

  When the button B4 is touched on the order screen 700, a group order completion notification is transmitted from the terminal T to the information processing apparatus 100. The group order completion notification is information indicating that the order of the group G has been completed. For example, when any of the visitors in the group G touches the button B4 in response to the completion of the order of all the people on the entrance vehicle C, a group order completion notification is transmitted.

  If there is only one visitor on the entrance vehicle C, when the visitor touches the button B4 in response to the completion of the visitor's order, a group order completion notification is transmitted. .

(Screen example of the preparation instruction screen 800)
Next, a screen example of the preparation instruction screen 800 displayed on the display 404 of the store terminal 201 will be described with reference to FIG.

  FIG. 8 is an explanatory diagram showing a screen example of the preparation instruction screen 800. In FIG. 8, a preparation instruction screen 800 is an operation screen that displays an order reception ID and order details of an order to start preparation. According to the preparation instruction screen 800, the store clerk can confirm the order reception ID and the order contents of the order to start preparation.

  In the example of (8-1), the clerk orders the contents of the order with the order reception ID “R1” “hamburger (product ID: P1): 2 pieces, potato (product ID: P2): 1 piece, ice coffee (product) ID: P3): 1 ”can be confirmed and preparation can be started. In addition, the store clerk touches the button 801 when preparation for the order reception ID “R1” is completed.

  As a result, the display of the button 801 changes from “preparing” to “preparation complete”, and a preparation completion signal indicating that the preparation for the order reception ID “R1” is completed is received from the store terminal 201 to the information processing apparatus 100. Sent to. Then, as shown in (8-2), the order reception ID and order details of the order to be prepared next are displayed.

  Note that the order reception ID and the order contents of an order that has been prepared in the preparation instruction screen 800 are not displayed, for example, after a predetermined time has elapsed or when a predetermined number of orders are displayed in the preparation instruction screen 800. It becomes.

(Functional configuration example of information processing apparatus 100)
FIG. 9 is a block diagram illustrating a functional configuration example of the information processing apparatus 100. In FIG. 9, the information processing apparatus 100 includes a detection unit 901, a distribution unit 902, a reception unit 903, a notification unit 904, a specification unit 905, a calculation unit 906, and a determination unit 907. . The detection unit 901 to the determination unit 907 are functions serving as a control unit. Specifically, for example, by causing the CPU 301 to execute a program stored in a storage device such as the memory 302 and the disk 305 illustrated in FIG. Alternatively, the function is realized by the I / F 303. The processing result of each functional unit is stored in a storage device such as the memory 302 and the disk 305, for example.

  The detecting unit 901 detects the visitor's terminal T. Specifically, for example, the detection unit 901 detects the terminal T as the terminal T of the visitor in response to receiving the connection request signal from the terminal T via the radio base station 202.

  The distribution unit 902 distributes the order application AP. Here, the order application AP is an application for ordering products. Specifically, for example, the distribution unit 902 sends the order application AP to the detected terminal T via the wireless base station 202 in response to the detection unit 901 detecting the visitor's terminal T. To deliver.

  As a result, the order application AP is executed on the terminal T of the visitor, and the product can be ordered from the order screen 700 as shown in FIG.

  The reception unit 903 receives an order from the terminal T of the visitor. For example, the order is placed on the order screen 700 (see FIG. 7). Specifically, for example, the reception unit 903 receives an order from the order application AP being executed on the terminal T of the visitor via the wireless base station 202. The order includes, for example, group information, order contents, and a terminal ID.

  The group information is information that identifies the group G to which the attendee belongs, and is, for example, a beacon ID that uniquely identifies the entering vehicle C on which the attendee is riding. The order content is information indicating the content of the order, for example, the product ID of the ordered product and the number of orders. The terminal ID is an identifier that uniquely identifies the orderer's terminal T, and is, for example, the IP address of the terminal T.

  In response to receiving an order from the terminal T of the visitor, the receiving unit 903 newly registers order information corresponding to the order in, for example, the order DB 220 shown in FIG. Specifically, for example, first, the reception unit 903 refers to the order DB 220 and determines whether there is another order having the same beacon ID as the received new order.

  Here, when there is another order, the reception unit 903 acquires the order reception ID of the other order and assigns the acquired order reception ID to the new order. Thereby, orders including the same beacon signal can be grouped using the order reception ID as a key. The accepting unit 903 newly registers the order information by setting information in each field in the order DB 220.

  On the other hand, when there is no other order, the reception unit 903 newly generates an order reception ID corresponding to the new order, and assigns the generated order reception ID to the new order. Note that the beacon ID may be used as the order reception ID. The accepting unit 903 newly registers the order information by setting information in each field in the order DB 220. In the initial state, “wait for group order completion” is set in the order state field.

  In response to receiving an order from the terminal T of the visitor, the notification unit 904 transmits an order reception notification for the order to the terminal T. The order acceptance notification is information indicating that an order has been accepted. The order reception notification includes, for example, an order reception ID. Thereby, the attendee can recognize that his / her order has been normally received and can grasp the order reception ID.

  The reception unit 903 receives a group order completion notification from the terminal T of the visitor. The group order completion notification includes, for example, an order reception ID or a beacon ID. The order reception ID and the beacon ID are both information that can identify the group G. Specifically, for example, the reception unit 903 receives the group order completion notification by receiving the group order completion notification from the attendee's terminal T via the wireless base station 202.

  The specifying unit 905 specifies the processing time related to the order of each group G. The identifying unit 905 identifies the queue length related to the order of each group G. As described above, the processing time related to the group G order is the time required to process the group G order. Further, the queue length related to the group G order is the queue length generated by the group G order.

  In the following description, the processing time related to the group G order may be expressed as “processing time t”, and the queue length related to the group G order may be expressed as “queue length L”. In addition, the product included in the group G order may be referred to as “product P”.

  Specifically, for example, first, the specifying unit 905 collects orders received from the terminals T of the visitors in the group G in response to receiving the group order completion notification. More specifically, the specifying unit 905 refers to the order DB 220 and specifies the order information in which the order reception ID (or beacon ID) included in the group order completion notification is set. Then, the specifying unit 905 changes the order state of the specified order information to “waiting for preparation” and collects the order contents of the specified order information.

  Thereby, it is possible to recognize orders grouped using the order reception ID as a key, that is, orders of the group G formed by visitors who are on the entrance vehicle C.

  Next, the specifying unit 905 specifies the standard preparation time of each product P included in the group G order with reference to, for example, the standard preparation time DB 230 illustrated in FIG. Further, the specifying unit 905 specifies the order number of each product P included in the group G order. Next, the specifying unit 905 calculates the processing time of each product P by multiplying the standard preparation time of each specified product P by the number of orders. Then, the specifying unit 905 calculates the processing time t related to the order of the group G by accumulating the processing time of each product P included in the order of the group G.

  Further, the specifying unit 905 specifies the queue length related to the order of the group G with reference to the vehicle length table 1000 as shown in FIG. The vehicle length table 1000 is realized by a storage device such as the memory 302 and the disk 305 shown in FIG.

  Here, the stored contents of the vehicle length table 1000 will be described with reference to FIG.

  FIG. 10 is an explanatory diagram showing an example of the contents stored in the vehicle length table 1000. In FIG. 10, the vehicle length table 1000 stores a beacon ID that uniquely identifies the entering vehicle C and the vehicle length of the entering vehicle C in association with each other. Information representing the beacon ID of the entering vehicle C and the vehicle length in association with each other is obtained from the vehicle detection device 203 (see FIG. 2).

  The identifying unit 905 refers to the vehicle length table 1000 and identifies the vehicle length corresponding to the beacon ID included in the group order completion notification as the queue length L related to the group G order. Note that the vehicle length information of the vehicle that has left the vehicle train (the train of vehicles lined up in drive-through) is deleted from the vehicle length table 1000. For example, vehicle length information of a vehicle that has left the vehicle train upon completion of payment, receipt of goods, etc. is deleted.

  Returning to the description of FIG. 9, the calculation unit 906 calculates the priority E of the group G based on the processing time t and / or the queue length L related to the specified order of the group G. Here, the priority E of the group G represents the magnitude of the reduction effect of the vehicle train length obtained by the entry vehicle C leaving the vehicle train.

  Specifically, for example, the calculation unit 906 can calculate the priority E of the group G using the following formula (1). However, PL is the vehicle length of the entering vehicle C, that is, the ratio of the queue length L related to the order of the group G (vehicle length ratio, unit:%) in the vehicle train length. The vehicle train length is obtained, for example, by accumulating the vehicle lengths in the vehicle length table 1000. PO is a ratio (processing time ratio, unit:%) of the processing time t related to the order of the entry vehicle C, that is, the order of the group G, in the total processing time related to the orders of all vehicles arranged in the train line. is there. The total processing time is obtained, for example, by accumulating the processing time related to the remaining orders excluding the orders whose order status is “Ready” among the orders in the order DB 220.

    E = PL / PO (1)

  When vehicle length information (for example, the vehicle length table 1000) cannot be obtained, for example, assuming that the vehicle lengths of all the vehicles are substantially the same, PL is arranged in “(1 / line of train). It may be expressed as “the number of vehicles on the road) × 100”.

  Further, the calculation unit 906 may consider fairness based on the waiting time by multiplying the above formula (1) by a term that takes into account the waiting time of the entering vehicle C, for example. Specifically, for example, the calculation unit 906 may calculate the priority E of the group G using the following formula (2). However, W is a ratio (unit:%) of the actual waiting time of the entering vehicle C in the standard waiting time of the entering vehicle C. The standard waiting time is the sum of the total processing time related to the order of all the vehicles arranged in front of the entering vehicle C and the processing time t related to the order of the entering vehicle C when the entering vehicle C is arranged in the train line. It is. The actual waiting time of the entrance vehicle C is the time from the order time (for example, the earliest order time) of the attendee who is on the entrance vehicle C to the current time.

    E = PL / PO × W (2)

  The calculated priority E is stored in a priority table 1100 as shown in FIG. 11 in association with the order reception ID, for example. The priority table 1100 is realized by a storage device such as the memory 302 and the disk 305 shown in FIG.

  Here, the contents stored in the priority table 1100 will be described with reference to FIG.

  FIG. 11 is an explanatory diagram illustrating an example of the contents stored in the priority table 1100. In FIG. 11, the priority table 1100 stores the order reception ID and the priority E in association with each other. According to the priority table 1100, the priority E of the group G corresponding to the order reception ID can be specified.

  Returning to the description of FIG. 9, the determination unit 907 determines an order to be processed based on the calculated priority E of the group G. Specifically, for example, the determination unit 907 refers to the priority table 1100 illustrated in FIG. 11 and identifies the order reception ID with the highest priority E. The determining unit 907 may refer to the order DB 220 to determine the order of the group G corresponding to the specified order reception ID as the processing target order.

  When there are a plurality of groups G with the highest priority E, the determination unit 907 determines, for example, the order of the group G including the order with the earliest order time as the order to be processed. Good.

  For example, the determination unit 907 refers to the priority table 1100 to identify the top N order reception IDs having a higher priority E, and orders the groups G corresponding to the identified N order reception IDs, respectively. May be determined as an order to be processed. N can be arbitrarily set, and is set in consideration of, for example, the number of shop assistants involved in the preparation of products.

  The notification unit 904 instructs preparation of the determined processing target order. Specifically, for example, the notification unit 904 refers to the order DB 220 and transmits to the store terminal 201 preparation order information indicating the order reception ID and order details of the order to be processed. As a result, for example, on the preparation instruction screen 800 as shown in FIG. 8, the order reception ID and the order contents of the order to be prepared next are displayed.

  The accepting unit 903 accepts a preparation completion signal from the store terminal 201. The preparation completion signal is information indicating that the preparation for the order has been completed. The preparation completion signal includes, for example, an order reception ID that uniquely identifies an order of the group G.

  In response to receiving the preparation completion signal, the reception unit 903 refers to the order DB 220 and changes the order status of the order information in which the order reception ID included in the preparation completion signal is set to “ready”. To do. Thereby, it becomes possible to determine the order of the group G for which the preparation of the product is completed.

  In response to receiving the preparation completion signal from the store terminal 201, the notification unit 904 transmits a preparation completion notification to the terminal T of the visitor. The preparation completion notification is information indicating that the preparation for the order has been completed. The preparation completion notification includes, for example, an order reception ID that uniquely identifies the group G order.

  Specifically, for example, the notification unit 904 refers to the order DB 220 and specifies at least one terminal ID corresponding to the order reception ID included in the preparation completion signal. Then, the notification unit 904 transmits a preparation completion notification to the terminal T having the specified terminal ID via the radio base station 202.

  Thereby, the visitor can recognize that the preparation of the ordered product is completed and can pay the price, receive the product, and the like.

  In the above description, the information processing apparatus 100 determines that the order of the group G has been completed in response to receiving the group order completion notification, but is not limited thereto. For example, the information processing apparatus 100 determines that the order of the group G has been completed when a predetermined time (for example, 5 minutes) has passed since the last order was received from the terminal T of the visitor in the group G. You may decide to do it.

(Grouping procedure)
Next, a grouping process procedure of the order processing system 200 according to the second embodiment will be described. Here, the case where the orders c1 and c2 from the terminals T1 and T2 are grouped will be described by taking the terminals T1 and T2 of the visitors who are in the entrance vehicle C1 as an example.

  FIG. 12 is a sequence diagram illustrating an example of a grouping process procedure of the order processing system 200 according to the second embodiment. (12-1) Each of the terminals T1 and T2 receives the location ID from the radio base station 202. (12-2) Each terminal T1, T2 transmits a connection request signal to the information processing apparatus 100 via the radio base station 202 in response to receiving the location ID from the radio base station 202.

  (12-3) The information processing apparatus 100 delivers the order application AP to each of the terminals T1 and T2 in response to receiving the connection request signal from each of the terminals T1 and T2. (12-4) Each terminal T1, T2 receives a beacon ID that uniquely identifies the entering vehicle C1 from the vehicle detection device 203.

  (12-5) The terminal T1 transmits, from the order application AP, an order c1 including a beacon ID that uniquely identifies the entering vehicle C1 to the information processing apparatus 100. (12-6) In response to receiving the order c1, the information processing apparatus 100 generates an order reception ID “R1” and transmits an order reception notification including the order reception ID “R1” to the terminal T1.

  (12-7) The terminal T2 transmits an order c2 including a beacon ID that uniquely identifies the entering vehicle C1 to the information processing apparatus 100 from the order application AP. (12-8) The information processing apparatus 100 gives the order reception ID “R1” of the order c1 having the same beacon ID as the order c2 to the order c2, and transmits an order reception notification including the order reception ID “R1” to the terminal T2. To do.

  Thereby, the orders c1 and c2 including the same beacon signal can be grouped with the order reception ID as a key.

(Various processing procedures of the information processing apparatus 100)
Next, various processing procedures of the information processing apparatus 100 according to the second embodiment will be described. First, the distribution processing procedure of the information processing apparatus 100 will be described.

<Distribution processing procedure>
FIG. 13 is a flowchart of an example of a delivery process procedure of the information processing apparatus 100 according to the second embodiment. In the flowchart of FIG. 13, first, the information processing apparatus 100 determines whether or not a connection request signal has been received from the terminal T of the visitor (step S1301).

  Here, the information processing apparatus 100 waits to receive a connection request signal from the terminal T of the visitor (step S1301: No). When the information processing apparatus 100 receives the connection request signal (step S1301: Yes), the information processing apparatus 100 distributes the order application AP to the visitor's terminal T (step S1302), and ends the series of processes according to this flowchart. To do.

  Thereby, the order application AP can be distributed to the terminal T of the visitor who has entered the drive-through of the hamburger store.

<Order acceptance processing procedure>
Next, an order receiving process procedure of the information processing apparatus 100 will be described.

  FIG. 14 is a flowchart of an example of an order reception process procedure of the information processing apparatus 100 according to the second embodiment. In the flowchart of FIG. 14, first, the information processing apparatus 100 determines whether an order including a beacon ID has been received from the terminal T of the visitor (step S1401). Here, the information processing apparatus 100 waits to receive an order (step S1401: No).

  When the information processing apparatus 100 receives an order (step S1401: Yes), the information processing apparatus 100 refers to the order DB 220 and determines whether there is an order having the same beacon ID as the received order (step S1402). If there is no order having the same beacon ID (step S1402: No), the information processing apparatus 100 generates an order reception ID (step S1403), and the process proceeds to step S1405.

  On the other hand, when there is an order having the same beacon ID (step S1402: Yes), the information processing apparatus 100 acquires an order reception ID of an order having the same beacon ID (step S1404). Then, the information processing apparatus 100 newly registers the order information by setting information in each field in the order DB 220 (step S1405).

  Next, the information processing apparatus 100 sets “wait for group order completion” as the order status of the order information newly registered in the order DB 220 (step S1406). Then, the information processing apparatus 100 transmits an order acceptance notification for the accepted order to the terminal T (step S1407), and ends a series of processing according to this flowchart.

  Thereby, while being able to receive an order from a visitor's terminal T, orders including the same beacon ID can be grouped together using the order reception ID as a key.

<Processing decision process procedure when group order is completed>
Next, a processing target determination processing procedure when the group order of the information processing apparatus 100 is completed will be described. Here, it is assumed that the number of shop assistants involved in product preparation is one.

  FIG. 15 is a flowchart of an example of a process target determination process procedure when the group order is completed according to the second embodiment. In the flowchart of FIG. 15, the information processing apparatus 100 first determines whether a group order completion notification has been received from the terminal T of the visitor (step S1501). Here, the information processing apparatus 100 waits for reception of a group order completion notification (step S1501: No).

  If the information processing apparatus 100 receives a group order completion notification (step S1501: Yes), the information processing apparatus 100 refers to the order DB 220 and identifies the order information in which the order reception ID included in the group order completion notification is set ( Step S1502). Next, the information processing apparatus 100 changes the order state of the specified order information to “waiting for preparation” (step S1503).

  Then, the information processing apparatus 100 recognizes the order of the group G by aggregating the order contents of the specified order information (step S1504). Next, the information processing apparatus 100 executes a priority calculation process for calculating the priority E of the group G (step S1505).

  A specific processing procedure of the priority calculation processing will be described later with reference to FIG.

  Next, the information processing apparatus 100 refers to the order DB 220 and determines whether or not there is an order with the order status “in preparation” (step S1506). If there is no order in the order state “in preparation” (step S1506: No), the information processing apparatus 100 proceeds to step S1510.

  On the other hand, if there is an order with the order status “in preparation” (step S1506: Yes), the information processing apparatus 100 determines whether a preparation completion signal has been received from the store terminal 201 (step S1507). Here, the information processing apparatus 100 waits for reception of a preparation completion signal (step S1507: No).

  When the information processing apparatus 100 receives the preparation completion signal (step S1507: Yes), the information processing apparatus 100 refers to the order DB 220 to display the order status of the order information in which the order reception ID included in the preparation completion signal is set as “preparation”. Change to “complete” (step S1508). Next, the information processing apparatus 100 refers to the order DB 220 and transmits a preparation completion notification to the terminal T of the terminal ID corresponding to the order reception ID included in the preparation completion signal (step S1509).

  Then, the information processing apparatus 100 refers to the priority table 1100 and selects the group G corresponding to the order reception ID with the highest priority E (step S1510). Next, the information processing apparatus 100 refers to the order DB 220 and instructs the order for the selected group G to be prepared (step S1511).

  Then, the information processing apparatus 100 refers to the order DB 220 and changes the order status of the order information in which the order reception ID of the selected group G is set to “in preparation” (step S1512), and the series according to this flowchart. Terminate the process. As a result, it is possible to instruct the preparation of an order for the admission vehicle C having the highest vehicle train length reduction effect.

  In the above description, the case where the number of salesclerks involved in product preparation is one is described as an example, but the present invention is not limited to this. For example, when the number of shop assistants is n, in step S1506, the information processing apparatus 100 refers to the order DB 220 and determines whether there are n orders of the group G whose order status is “in preparation”. May be determined.

<Specific processing procedure of priority calculation processing>
Next, a specific processing procedure of the priority calculation processing in step S1505 shown in FIG. 15 will be described.

  FIG. 16 is a flowchart illustrating an example of a specific processing procedure of the priority calculation processing. In the flowchart of FIG. 16, first, the information processing apparatus 100 refers to the order DB 220 and selects an order of the group G in the order status “waiting for preparation” (step S1601).

  The order of the group G in the order state “waiting for preparation” is a set of orders having the same order reception ID and the order state “waiting for preparation”.

  Next, the information processing apparatus 100 refers to the vehicle length table 1000 and identifies the queue length L related to the order of the group G based on the order reception ID of the group G (step S1602). Then, the information processing apparatus 100 refers to the vehicle length table 1000 and calculates the vehicle length ratio PL corresponding to the group G order based on the identified queue length L (step S1603).

  In addition, the information processing apparatus 100 refers to the standard preparation time DB 230 and specifies the processing time t related to the order of the group G based on the number of orders of each product P included in the order of the group G (step S1604). . Then, the information processing apparatus 100 refers to the standard preparation time DB 230 and calculates a processing time ratio PO corresponding to the order of the group G based on the specified processing time t (step S1605).

  The information processing apparatus 100 calculates the priority E of the group G based on the calculated vehicle length ratio PL and the processing time ratio PO (step S1606). The calculated priority E of the group G is stored in the priority table 1100 in association with the order reception ID of the group G.

  Next, the information processing apparatus 100 refers to the order DB 220 and determines whether there is an order for an unselected group G in the order status “waiting for preparation” (step S1607). If there is an order for an unselected group G (step S1607: YES), the information processing apparatus 100 returns to step S1601.

  On the other hand, when there is no order for the unselected group G (step S1607: No), the information processing apparatus 100 returns to the step that called the priority calculation process. Thereby, the priority E of the group G can be calculated in consideration of the shortening effect of the vehicle train length obtained by the entry vehicle C leaving the vehicle train.

<Processing target determination procedure when preparation is completed>
Next, a process target determination process procedure when the preparation of the information processing apparatus 100 is completed will be described. Here, it is assumed that the number of shop assistants involved in product preparation is one.

  FIG. 17 is a flowchart of an example of a processing target determination processing procedure when preparation for the information processing apparatus 100 according to the second embodiment is completed. In the flowchart of FIG. 17, first, the information processing apparatus 100 determines whether a preparation completion signal has been received from the store terminal 201 (step S <b> 1701). Here, the information processing apparatus 100 waits for reception of a preparation completion signal (step S1701: No).

  When the information processing apparatus 100 receives the preparation completion signal (step S1701: Yes), the order information of the order information in which the order reception ID included in the preparation completion signal is set is referred to “preparation” with reference to the order DB 220. Change to “complete” (step S1702). Next, the information processing apparatus 100 refers to the order DB 220 and transmits a preparation completion notification to the terminal T of the terminal ID corresponding to the order reception ID included in the preparation completion signal (step S1703).

  Next, the information processing apparatus 100 executes a priority calculation process for calculating the priority E of the group G (step S1704). The specific processing procedure of the priority calculation processing is the same as the processing procedure described with reference to FIG.

  Then, the information processing apparatus 100 refers to the priority table 1100 and selects the group G corresponding to the order reception ID with the highest priority E (step S1705). Next, the information processing apparatus 100 refers to the order DB 220 and instructs the order for the selected group G to be prepared (step S1706).

  Then, the information processing apparatus 100 refers to the order DB 220, changes the order status of the order information in which the order acceptance ID of the selected group G is set to “in preparation” (step S1707), and the series according to this flowchart. Terminate the process. Thereby, in response to the completion of the preparation of the product that is being prepared, it is possible to instruct the preparation of the order for the entry vehicle C that has the highest effect of shortening the vehicle train length.

  As described above, according to the information processing apparatus 100 according to the second embodiment, the order application AP for ordering products can be distributed in response to the detection of the terminal T of the visitor. As a result, it is possible to place an order for the product using the order application AP on the terminal T of the visitor, thereby improving the convenience for the customer and reducing the number of people who visit the order. .

  Further, according to the information processing apparatus 100, an order including a beacon ID that uniquely identifies the entering vehicle C can be received from the terminal T of the attendee. And according to information processor 100, based on beacon ID contained in an accepted order, orders containing the same beacon ID can be grouped. As a result, orders can be grouped in units of vehicles entering the drive-through.

  Further, according to the information processing apparatus 100, the processing time t related to the order of the group G can be calculated based on the number of orders of each product P included in the order of the group G with reference to the standard preparation time DB 230. it can. Accordingly, the processing time t related to the order of the group G can be predicted from the standard time required for preparation of the product P and the number of orders.

  Moreover, according to the information processing apparatus 100, the vehicle length corresponding to the beacon ID included in the received order can be specified as the queue length L related to the order of the group G with reference to the vehicle length table 1000. . Thereby, the vehicle length of the entrance vehicle C detected by the vehicle detection device 203 can be specified as the queue length L related to the order of the group G.

  Further, according to the information processing apparatus 100, the priority E of each group G can be calculated based on the processing time t and / or the queue length L related to the order of each group G. Then, according to the information processing apparatus 100, it is possible to determine the order of the group G having the relatively high priority E calculated as the order to be processed. Thereby, it is possible to preferentially process the order of the group G, which has a great effect of shortening the vehicle train length obtained by the entry vehicle C leaving the vehicle train.

  Further, according to the information processing apparatus 100, the priority E of each group G can be calculated based on the actual waiting time of each group G. Thereby, in consideration of fairness based on the actual waiting time of each group G, it is possible to determine the processing target order to be prepared next.

  For these reasons, according to the order processing system 200 according to the second embodiment, by processing preferentially from orders with a large effect of shortening the train length, the train length associated with waiting for orders or waiting for goods in drive-through It is possible to avoid traffic congestion on the surrounding roads. In addition, labor costs can be reduced compared to securing personnel for order visits.

(Embodiment 3)
Next, an order processing system 200 according to the third embodiment will be described. In Embodiment 3, instead of the beacon ID for uniquely identifying the entering vehicle C, an identifier (group ID, which will be described later) shared between the terminals of the visitors by short-range wireless communication is used to start each terminal T. The case of grouping orders will be described. In addition, about the location similar to the location demonstrated in Embodiment 1, 2, the same code | symbol is attached | subjected and illustration and description are abbreviate | omitted.

  First, the grouping processing procedure of the order processing system 200 according to the third embodiment will be described with reference to FIG. Here, the case where the orders c1 and c2 from the terminals T1 and T2 are grouped will be described by taking the terminals T1 and T2 of the visitors who are in the entrance vehicle C1 as an example. Further, the terminal T1 among the terminals T1 and T2 is set as a representative terminal.

  As a representative terminal determination method, for example, a method in which random numbers are exchanged between terminals and a terminal T having the largest random number is determined as a representative terminal, or a method in which a representative terminal is determined in accordance with a user operation input is used. is there. As the random number, the MAC (Media Access Control) address of the terminal T or a UUID (Universally Unique Identifier) is used.

  FIG. 18 is a sequence diagram illustrating an example of a grouping process procedure of the order processing system 200 according to the third embodiment. (18-1) Each of the terminals T1 and T2 receives the location ID from the radio base station 202. (18-2) Each terminal T1, T2 transmits a connection request signal to the information processing apparatus 100 via the radio base station 202 in response to receiving the location ID from the radio base station 202. (18-3) The information processing apparatus 100 distributes the order application AP to the terminals T1 and T2 in response to receiving the connection request signal from the terminals T1 and T2.

  (18-4) The terminal T1 (representative terminal) transmits the group ID “G1” to the terminal T2 by short-range wireless communication. The transmission of the group ID is performed by, for example, broadcast communication. The group ID “G1” is an identifier for uniquely identifying a group G formed by visitors (terminals T1 and T2) riding on the entrance vehicle C1. As the group ID “G1”, for example, the MAC address or UUID of the terminal T1 can be used.

  The short-range wireless communication includes, for example, communication using a wireless PAN (Personal Area Network) such as Bluetooth (registered trademark) or ZigBee (registered trademark).

  (18-5) The terminal T1 transmits the order c1 including the group ID “G1” to the information processing apparatus 100 from the order application AP. (18-6) In response to receiving the order c1, the information processing apparatus 100 generates an order reception ID “R1” and transmits an order reception notification including the order reception ID “R1” to the terminal T1.

  (18-7) The terminal T2 transmits the order c2 including the group ID “G1” to the information processing apparatus 100 from the order application AP. (18-8) The information processing apparatus 100 gives the order reception ID “R1” of the order c1 having the same group ID as the order c2 to the order c2, and transmits an order reception notification including the order reception ID “R1” to the terminal T2. To do.

  Thereby, the orders c1 and c2 including the same group ID can be grouped using the group ID shared between the terminals as a key.

  Next, the contents stored in the order DB 220 of the information processing apparatus 100 according to the third embodiment will be described with reference to FIG.

  FIG. 19 is an explanatory diagram (part 2) illustrating an example of the contents stored in the order DB 220. In FIG. 19, the order DB 220 includes fields for order ID, group ID, order reception ID, terminal ID, order time, order content, and order status. By setting information in each field, order information (for example, Order information 1900-1 to 1900-3) is stored as a record.

  In the example of FIG. 19, a group ID is registered instead of the beacon ID of the order DB 220 shown in FIG. The group ID is an identifier that uniquely identifies the group G that is shared among the terminals of visitors who are in the entrance vehicle C. However, each order information in the order DB 220 may include a beacon ID.

(Order reception processing procedure of information processing apparatus 100)
Next, an order receiving process procedure of the information processing apparatus 100 according to the third embodiment will be described. Note that the various processing procedures other than the order reception processing procedure are the same as the various processing procedures of the information processing apparatus 100 according to the second embodiment, and a description thereof will be omitted.

  FIG. 20 is a flowchart of an example of an order receiving process procedure of the information processing apparatus 100 according to the third embodiment. In the flowchart of FIG. 20, first, the information processing apparatus 100 determines whether an order including a group ID has been received from the terminal T of the visitor (step S2001). Here, the information processing apparatus 100 waits to receive an order (step S2001: No).

  When the information processing apparatus 100 receives an order (step S2001: Yes), the information processing apparatus 100 refers to the order DB 220 and determines whether there is an order having the same group ID as the received order (step S2002). If there is no order having the same group ID (step S2002: No), the information processing apparatus 100 generates an order reception ID (step S2003), and the process proceeds to step S2005.

  On the other hand, when there is an order having the same group ID (step S2002: Yes), the information processing apparatus 100 acquires an order reception ID of an order having the same group ID (step S2004). Then, the information processing apparatus 100 newly registers order information by setting information in each field in the order DB 220 (step S2005).

  Next, the information processing apparatus 100 sets “wait for group order completion” as the order status of the order information newly registered in the order DB 220 (step S2006). Then, the information processing apparatus 100 transmits an order acceptance notification for the accepted order to the terminal T (step S2007), and ends a series of processes according to this flowchart.

  As a result, it is possible to accept orders from the terminal T of the visitors, and it is possible to group orders including the same group ID using the order acceptance ID as a key.

  As described above, according to the information processing apparatus 100 according to the third embodiment, it is possible to accept an order including a group ID shared between terminals by short-range wireless communication from the terminal T of the visitor. According to the information processing apparatus 100, orders including the same group ID can be grouped based on the group ID included in the received order. As a result, orders from terminals T existing within a range where short-range wireless communication is possible, for example, orders from the terminals T of visitors who are on the same entrance vehicle C can be grouped.

(Embodiment 4)
Next, an order processing system 200 according to the fourth embodiment will be described. In the fourth embodiment, a case where orders with the same group ID are grouped in the representative terminal will be described. In addition, about the location similar to the location demonstrated in Embodiment 1-3, the same code | symbol is attached | subjected and illustration and description are abbreviate | omitted.

  First, the grouping processing procedure of the order processing system 200 according to the fourth embodiment will be described with reference to FIG. Here, a case where orders (sub-orders sc1 and sc2 to be described later) from the terminals T1 and T2 are grouped will be described by taking the terminals T1 and T2 of the visitors who are in the entrance vehicle C1 as an example. Further, the terminal T1 among the terminals T1 and T2 is set as a representative terminal.

  FIG. 21 is a sequence diagram illustrating an example of a grouping process procedure of the order processing system 200 according to the fourth embodiment. (21-1) Each of the terminals T1 and T2 receives the location ID from the radio base station 202. (21-2) Each terminal T1, T2 transmits a connection request signal to the information processing apparatus 100 via the radio base station 202 in response to receiving the location ID from the radio base station 202. (21-3) The information processing apparatus 100 distributes the order application AP to the terminals T1 and T2 in response to receiving the connection request signal from the terminals T1 and T2.

  (21-4) The terminal T1 (representative terminal) transmits the group ID “G1” to the terminal T2. The transmission of the group ID is performed by, for example, broadcast communication. (21-5) The terminal T2 transmits the sub-order sc2 including the group ID “G1” from the order application AP to the terminal T1 (representative terminal). (21-6) The terminal T1 (representative terminal) groups the suborder sc1 input at the terminal and the suborder sc2 received from the terminal T2, and generates an order c1 including the group ID “G1”. .

  (21-7) The terminal T1 (representative terminal) transmits the order c1 including the group ID “G1” to the information processing apparatus 100 from the order application AP. (21-8) In response to receiving the order c1, the information processing apparatus 100 generates an order reception ID “R1” and transmits an order reception notification including the order reception ID “R1” to the terminal T1.

  Thereby, in the terminal T1 (representative terminal), the sub-orders sc1 and sc2 of the terminals T1 and T2 in the group G1 can be grouped and notified to the information processing apparatus 100, and grouping processing in the information processing apparatus 100 is performed. Is no longer necessary.

(Embodiment 5)
Next, an order processing system 200 according to the fifth embodiment will be described. In the fifth embodiment, a case will be described in which orders from each terminal T are grouped using the movement history information M accumulated in the terminal T of the visitor. In addition, about the location similar to the location demonstrated in Embodiment 1-4, the same code | symbol is attached | subjected and illustration and description are abbreviate | omitted.

  First, the grouping process procedure of the order processing system 200 according to the fifth embodiment will be described with reference to FIG. Here, the case where the orders c1 and c2 from the terminals T1 and T2 are grouped will be described by taking the terminals T1 and T2 of the visitors who are in the entrance vehicle C1 as an example.

  FIG. 22 is a sequence diagram illustrating an example of a grouping process procedure of the order processing system 200 according to the fifth embodiment. (22-1) Each of the terminals T1 and T2 receives the location ID from the radio base station 202. (22-2) Each terminal T1, T2 transmits a connection request signal to the information processing apparatus 100 via the radio base station 202 in response to receiving the location ID from the radio base station 202.

  (22-3) The information processing apparatus 100 distributes the order application AP to each of the terminals T1 and T2 in response to receiving the connection request signal from each of the terminals T1 and T2. (22-4) The terminal T1 transmits the order c1 including the movement history information M1 to the information processing apparatus 100 from the order application AP. The movement history information M1 is information indicating a temporal change in the position of the terminal T1.

  (22-5) In response to receiving the order c1, the information processing apparatus 100 generates an order reception ID “R1” and transmits an order reception notification including the order reception ID “R1” to the terminal T1. (22-6) The terminal T2 transmits the order c2 including the movement history information M2 to the information processing apparatus 100 from the order application AP. The movement history information M2 is information indicating a temporal change in the position of the terminal T1.

  (22-7) When the movement history information M2 of the order c2 is similar to the movement history information M1 of the order c1, the information processing apparatus 100 assigns the order reception ID “R1” of the order c1 to the order c2, and orders reception ID An order acceptance notification including “R1” is transmitted to the terminal T2.

  Thereby, orders c1 and c2 including similar movement history information M1 and M2 can be grouped using the order reception ID as a key.

  Next, the contents stored in the order DB 220 of the information processing apparatus 100 according to the fifth embodiment will be described with reference to FIG.

  FIG. 23 is an explanatory diagram (part 3) of an example of the contents stored in the order DB 220. In FIG. 23, the order DB 220 includes fields for order ID, movement history, order reception ID, terminal ID, order time, order contents, and order status. By setting information in each field, order information (for example, Order information 2300-1 to 2300-3) is stored as a record.

  In the example of FIG. 23, a movement history is registered instead of the beacon ID of the order DB 220 shown in FIG. The movement history is information indicating a temporal change in the position of the terminal T of the visitor. “T #: m $” in FIG. 23 indicates that the terminal T was located at a location m $ (for example, position coordinates) at time t #. However, each order information in the order DB 220 may include a beacon ID.

(Order reception processing procedure of information processing apparatus 100)
Next, an order receiving process procedure of the information processing apparatus 100 according to the fifth embodiment will be described. Note that the various processing procedures other than the order reception processing procedure are the same as the various processing procedures of the information processing apparatus 100 according to the second embodiment, and a description thereof will be omitted.

  FIG. 24 is a flowchart of an example of an order reception process procedure of the information processing apparatus 100 according to the fifth embodiment. In the flowchart of FIG. 24, first, the information processing apparatus 100 determines whether an order including movement history information has been received from the terminal T of the visitor (step S2401). Here, the information processing apparatus 100 waits to receive an order (step S2401: No).

  If the information processing apparatus 100 receives an order (step S2401: Yes), the order DB 220 refers to the order DB 220, and the received order and the movement history information are similar among the orders in the “group order completion waiting” order. It is determined whether there is an order (step S2402).

  Specifically, for example, the information processing apparatus 100 extracts movement trajectory data of the past several tens of minutes (for example, 30 minutes) from the current time based on the movement history information included in the received order. Further, the information processing apparatus 100 extracts several tens of minutes of movement trajectory data from the current time based on the movement history information included in the order in the order state “waiting for group order completion”. Then, the information processing apparatus 100 calculates the similarity between the extracted movement trajectory data, and determines that the received order is similar to the movement history information when the similarity is equal to or greater than a threshold value. May be.

  For a specific method for calculating the similarity between the movement trajectory data, for example, refer to “FIT (Information Science and Technology Forum) 2002 by Yutaka Yanagisawa, Hajime Akasaki, Tetsuji Sato” be able to.

  If there is no order with similar movement history information (step S2402: No), the information processing apparatus 100 generates an order reception ID (step S2403), and the process proceeds to step S2405.

  On the other hand, when there is an order with similar movement history information (step S2402: Yes), the information processing apparatus 100 acquires an order reception ID of an order with similar movement history information (step S2404). Then, the information processing apparatus 100 newly registers the order information by setting information in each field in the order DB 224 (step S2405).

  Next, the information processing apparatus 100 sets “wait for group order completion” as the order status of the order information newly registered in the order DB 224 (step S2406). Then, the information processing apparatus 100 transmits an order acceptance notification for the accepted order to the terminal T (step S2407), and ends a series of processes according to this flowchart.

  As a result, orders from the terminal T of the visitors can be received, and orders including similar movement history information can be grouped using the order reception ID as a key.

  As described above, according to the information processing apparatus 100 according to the fifth embodiment, an order including movement history information indicating a temporal change in the position of the terminal T can be received from the terminal T of the visitor. According to the information processing apparatus 100, orders including similar movement history information can be grouped based on movement history information included in the received order. Thereby, it is possible to group orders from the terminal T that has moved through the same route and reached the drive-through, for example, the terminal T of the visitor who is on the same entrance vehicle C.

  The order processing method described in this embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. The order processing program is recorded on a computer-readable recording medium such as a hard disk, flexible disk, CD-ROM, MO (Magneto-Optical disk), DVD (Digital Versatile Disk), USB (Universal Serial Bus) memory, etc. It is executed by being read from the recording medium by a computer. The order processing program may be distributed via a network such as the Internet.

  The following additional notes are disclosed with respect to the embodiment described above.

(Appendix 1) Accepting orders including group information from the terminal of the visitors,
Identify the processing time and / or queue length associated with each group order identified from the group information contained in the received order;
Determining an order to be processed based on the processing time and / or the queue length;
An information processing apparatus having a control unit.

(Appendix 2) The group information is a beacon signal that identifies the admission vehicle transmitted from the transmitter installed in the store to the admission vehicle,
The information processing apparatus according to appendix 1, wherein the control unit groups orders including the same beacon signal based on a beacon signal included in the received order.

(Appendix 3) The group information is an identifier shared between terminals by short-range wireless communication,
The information processing apparatus according to appendix 1, wherein the control unit groups orders including the same identifier based on an identifier included in the received order.

(Supplementary Note 4) The group information is movement history information indicating a temporal change in the position of the terminal,
The information processing apparatus according to claim 1, wherein the control unit groups orders including similar movement history information based on movement history information included in the received order.

(Supplementary Note 5) The control unit
In response to detecting the terminal of the visitor, an application for ordering a product is delivered to the terminal of the visitor,
The information processing apparatus according to any one of appendices 1 to 4, wherein the order is received from the application executed on the terminal of the visitor.

(Appendix 6) The control unit
Supplementary notes 1 to 5, wherein the processing time is calculated with reference to a storage unit that stores a product and a standard time required for preparation of the product in association with each other based on the order contents of each group. The information processing apparatus according to any one of the above.

(Appendix 7) The control unit
Accepting an order including a beacon signal identifying the admission vehicle transmitted from the transmitter terminal to the admission vehicle from a transmitter installed in the store,
The vehicle length corresponding to the beacon signal included in the received order is specified as the queue length with reference to the storage unit that stores the beacon signal that identifies the entering vehicle and the vehicle length of the entering vehicle in association with each other. The information processing apparatus according to any one of supplementary notes 1 to 6, wherein:

(Appendix 8) The control unit
Based on the processing time and / or the queue length, calculate a priority indicating the magnitude of the queue length reduction effect when the visitors of each group leave the queue,
The information according to any one of appendices 1 to 7, wherein an order of a group having a relatively high priority is determined as an order to be processed based on the calculated priority of each group. Processing equipment.

(Appendix 9) The control unit
The information processing apparatus according to appendix 8, wherein the priority is calculated based on an actual waiting time of each group.

(Supplementary Note 10) The group information is an identifier shared between the terminals by short-range wireless communication between the terminals,
The information according to claim 1, wherein the control unit receives an order including the identifier and aggregating orders of the plurality of terminals from any one of the plurality of terminals sharing the identifier. Processing equipment.

(Supplementary Note 11) The control unit
The information processing apparatus according to any one of appendices 1 to 10, wherein the information processing apparatus instructs preparation of the determined order to be processed.

(Supplementary note 12) A terminal of a visitor who orders goods,
An order including group information is received from a terminal of the visitor, a processing time and / or a queue length related to the order of each group specified from the group information included in the received order is specified, and the processing time and / or An information processing apparatus that determines an order to be processed based on the queue length;
An order processing system comprising:

(Supplementary note 13)
Accepts orders containing group information from visitors ’devices,
Identify the processing time and / or queue length associated with each group order identified from the group information contained in the received order;
Determining an order to be processed based on the processing time and / or the queue length;
An order processing method characterized by executing processing.

(Supplementary note 14)
Accepts orders containing group information from visitors ’devices,
Identify the processing time and / or queue length associated with each group order identified from the group information contained in the received order;
Determining an order to be processed based on the processing time and / or the queue length;
An order processing program for executing a process.

DESCRIPTION OF SYMBOLS 100 Information processing apparatus 200 Order processing system 201 Store terminal 202 Wireless base station 203 Vehicle detection apparatus 204 Transmitter 210 Network 220 Order DB
230 Standard preparation time DB
700 Order Screen 800 Preparation Instruction Screen 901 Detection Unit 902 Distribution Unit 903 Reception Unit 904 Notification Unit 905 Identification Unit 906 Calculation Unit 907 Determination Unit 1000 Vehicle Length Table 1100 Priority Table

Claims (10)

Accepts orders containing group information from visitors ’devices,
Identify the processing time and / or queue length associated with each group order identified from the group information contained in the received order;
Determining an order to be processed based on the processing time and / or the queue length;
An information processing apparatus having a control unit. The group information is a beacon signal that identifies the admission vehicle transmitted to the admission vehicle from a transmitter installed in the store,
The information processing apparatus according to claim 1, wherein the control unit groups orders including the same beacon signal based on a beacon signal included in the received order. The group information is an identifier shared between terminals by short-range wireless communication,
The information processing apparatus according to claim 1, wherein the control unit groups orders including the same identifier based on an identifier included in the received order. The group information is movement history information indicating temporal changes in the position of the terminal,
The information processing apparatus according to claim 1, wherein the control unit groups orders including similar movement history information based on movement history information included in the received order. The controller is
In response to detecting the terminal of the visitor, an application for ordering a product is delivered to the terminal of the visitor,
The information processing apparatus according to claim 1, wherein the order is received from the application executed on the terminal of the visitor. The controller is
The said processing time is calculated with reference to the memory | storage part which matches and memorize | stores goods and the standard time required for preparation of the said goods based on the order content of each said group, The said processing time is calculated. 5. The information processing apparatus according to any one of 5. The controller is
Accepting an order including a beacon signal identifying the admission vehicle transmitted from the transmitter terminal to the admission vehicle from a transmitter installed in the store,
The vehicle length corresponding to the beacon signal included in the received order is specified as the queue length with reference to the storage unit that stores the beacon signal that identifies the entering vehicle and the vehicle length of the entering vehicle in association with each other. The information processing apparatus according to claim 1, wherein the information processing apparatus is an information processing apparatus. The terminal of the visitor ordering the product,
An order including group information is received from a terminal of the visitor, a processing time and / or a queue length related to the order of each group specified from the group information included in the received order is specified, and the processing time and / or An information processing apparatus that determines an order to be processed based on the queue length;
An order processing system comprising: Computer
Accepts orders containing group information from visitors ’devices,
Identify the processing time and / or queue length associated with each group order identified from the group information contained in the received order;
Determining an order to be processed based on the processing time and / or the queue length;
An order processing method characterized by executing processing. On the computer,
Accepts orders containing group information from visitors ’devices,
Identify the processing time and / or queue length associated with each group order identified from the group information contained in the received order;
Determining an order to be processed based on the processing time and / or the queue length;
An order processing program for executing a process.

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