WO2020166534A1 - Information processing device - Google Patents

Abstract

The present invention addresses the problem of easily generating a flexible delivery plan which takes into account both shipper-side information and logistics provider-side information.　An information processing device for forming a plan pertaining to the transportation of products between locations as a transportation plan, wherein an order information acquisition unit 101 acquires information about product receipt and payment at each of the inventory locations K1-Kn as the order information. A planning unit 103 thereof forms a transportation plan which eliminates product inventory delays at each of the inventory locations K1-Kn on the basis of information which includes the order information. As a result, the present invention solves said problem.

Description

Information processing equipment

The present invention relates to an information processing device.

Conventionally, there is technology to manage the inventory held in the warehouse, which is the distribution base. For example, Patent Document 1 describes a physical distribution management system that allocates an in-stock product to a product order from a customer who has received an order from a store, and transmits the allocation result and the delivery date of the order to the store.

JP-A-9-136704

However, in the conventional physical distribution management system including the technology described in Patent Document 1, although the information on the side of the physical distribution company that carries the product is referred to, the cargo owner who orders and receives the product (for example, Information from the manufacturer and retail store side was not taken into consideration.
One of the reasons is that there is no method for the transportation (for example, logistics company) side to obtain the information of the consignor side and then reflect the information in the delivery plan of the product (hereinafter referred to as “delivery plan”). It can be mentioned.
Further, when there are a plurality of bases (hereinafter, referred to as “stock bases”) that can hold products as inventory, it is not possible to collectively manage the stock at each stock base.

The present invention has been made in view of such a situation, and provides a method capable of easily creating a flexible delivery plan in consideration of information on the side of a shipper and information on the side of a distributor. The purpose is to

In order to achieve the above object, an information processing apparatus which is one embodiment of the present invention,
In an information processing device that plans a transportation plan of goods between bases as a transportation plan,
First acquisition means for acquiring, as ordering and ordering information, information regarding acceptance and withdrawal of products in each of the one or more bases;
Planning means for planning the transportation plan for eliminating the stock lag of the product based on the information including the ordering information, for each of the bases,
Equipped with.

Further, it is possible to further include a presenting means for presenting the transportation plan drafted by the drafting means to the base.

Further, it is possible that the ordering/ordering information includes information on the prospect of paying out the product at each of the one or more bases.

Further, as information necessary for carrying out the transportation plan, there is further provided second acquisition means for acquiring, as transportation distribution center information, information regarding transportation that can be managed by a person who transports the product.
The drafting means can draft the transportation plan that eliminates the delay in the inventory of the goods at the base, based on the acquired transportation distribution center information and the received ordering information.

The planning means may further adjust the quantity of the product transported to the site at one time to prepare the transportation plan for eliminating the stock lag of the product at the site.

According to the present invention, it is possible to easily create a flexible delivery plan that takes into account the information of the shipper and the information of the distributor.

It is an image figure showing an outline of this service which can be realized by various processing which a server concerning one embodiment of an information processor of the present invention performs. It is a figure which shows the structure of the information processing system containing the server of FIG. It is a block diagram which shows the hardware constitutions of the server of FIG. It is a functional block diagram which shows an example of a functional structure of the server of FIG. It is a figure which shows the specific example of the delivery plan planned by this service. It is a figure which shows the concrete method which adjusts the whole delivery plan by correcting the planned value (the number of reservations) of the delivery quantity of every day of a predetermined store. It is a figure which shows the concrete method which adjusts the whole delivery plan by correcting the planned value (the number of reservations) of the delivery quantity of every day of a predetermined store. It is a figure which shows the concrete method of adjusting the whole delivery plan by newly adding the scheduled value (reservation number) of the delivery quantity of every day of a predetermined store. It is a figure which shows the specific example of the information regarding the shop displayed on a customer terminal. It is a figure which shows the specific example of the reservation screen displayed on a customer terminal. It is a figure which shows the other specific example of this service. It is a figure which shows the specific example of inventory information and prospect information among the ordering and order information used as the basis at the time of drawing up a delivery plan. It is a figure which shows the specific example of inventory information and prospect information among the ordering and order information used as the basis at the time of drawing up a delivery plan. It is a figure different from FIG. 12A. It is a figure which shows the specific example of vehicle information among the transportation distribution center information used as the basis at the time of drawing up a delivery plan. It is a figure which shows the specific example of the delivery plan planned by the server based on the various information shown to FIG. 12A, FIG. 12B, and FIG.

Embodiments of the present invention will be described below with reference to the drawings.

[Service contents]
FIG. 1 is an image diagram showing an outline of this service that can be realized by various processes executed by a server 1 according to an embodiment of the information processing apparatus of the present invention.

As shown in FIG. 1, in this service, the product that the store M holds as inventory for sale to customers is information on the inventory held by the store M as an inventory base (hereinafter referred to as “inventory information”). Managed).
Here, the inventory base is a base where the product can be held as an inventory in order to efficiently deliver the product to the customer. There are a plurality of inventory bases within a certain area in order to realize efficient delivery to customers. The inventory base may be a space in which products can be stored as inventory in the long term, in the short term, or temporarily. For example, the inside of buildings such as the warehouse W and the store M, and the loading platform of vehicles such as the cargo transport vehicle T are all examples of inventory bases.
When the number of products that the store M has in stock decreases, the store M orders the shipper S for the products. In this service, when there is an order from the store M to the shipper S, the content thereof is managed as "order information".

The shipper S, which has received the order from the store M, orders the manufacture of the product from the vendor V (for example, the factory that manufactures the product) based on the content of the order. In this service, when there is an order from the shipper S to the vendor V, the content thereof is managed as "order information".
Note that the shipper S shown in FIG. 1 assumes a person who ships the product from the vendor V without holding the product in inventory, but the shipper S itself may hold the product in inventory. Therefore, in this service, the shipper S is also treated as one of the inventory bases.

In this service, a vendor V, which manufactures a product and ships it to the store M, holds a product in inventory for shipping to the store M, and manages it as inventory information held by the vendor V as an inventory base.
The vendor V that has received the order from the shipper S requests the distribution company L to deliver the product based on the content of the order from the shipper S. In this service, when a vendor V requests the delivery company L to deliver a product, the content of the request is managed as “request information”.

In this service, various information that the logistics company L, which delivers products to the store M upon request from the vendor V, has in business is managed. Specifically, as information (hereinafter, referred to as “vehicle information”) regarding the cargo transport vehicle T used for transporting the products, information regarding each cargo transport vehicle T, such as a vehicle number, a load amount, a vehicle grade, and a driver (for example, Name, age, working hours, overtime hours, etc.) are managed.
The distribution company L, which has received the request from the vendor V, delivers the product to the store M based on the content of the request from the vendor V.
Here, the distribution company L is a person who uses a distribution center, a warehouse, a truck, or the like as a facility or the like for delivering a product. Therefore, in this service, the distribution center, the warehouse, the truck, and the like used by the distribution company L are handled as inventory bases that can hold the goods as inventory in the long term, short term, or temporarily.
In this service, information regarding delivery from the distribution company L to the store M is managed as “delivery information”.

Also, in this service, information about facilities and people (including drivers and on-premise workers) managed by the logistics company L is also managed as "equipment/person information".

In this service, the inventory information, order information, order information, request information, vehicle information, delivery information, and equipment/person information described above are collectively managed, and a flexible delivery plan that takes these information into consideration is drafted. ..
That is, according to this service, information that the distributor L can manage originally (request information, vehicle information, delivery information, and equipment/person information) and information that the shipper S can manage inherently (stock information , Order information, and order information), it is possible to make an effective delivery plan. That is, it is possible to make an effective delivery plan based on the information of the distributor and the information of the shipper. As a result, efficient and efficient transportation can be realized.

[System configuration]
Next, the configuration of the information processing system including the server 1 that executes various processes for providing this service will be described.
FIG. 2 is a diagram showing a configuration of an information processing system including the server 1 according to the embodiment of the information processing apparatus of the present invention.

The information processing system shown in FIG. 2 includes a server 1, base terminals 2-1 to 2-n (n is an integer value of 1 or more), and customer terminals 3-1 to 3-m (m is an integer value of 1 or more). ) Are mutually connected via a predetermined network N such as the Internet.

Each of the base terminals 2-1 to 2-n in the present embodiment is an information processing device installed in each of the stock bases K1 to Kn, and is configured by a personal computer, a smartphone, a tablet terminal, or the like. Each of the base terminals 2-1 to 2-n is operated by a person in charge of each of the stock bases K1 to Kn.
Note that, hereinafter, when it is not necessary to individually distinguish the stock bases K1 to Kn and the base terminals 2-1 to 2-n, they are collectively referred to as the “stock base K” and the “base terminal 2”. Call.

The base terminal 2 stores the stock information of the stock base K and the information on the prospect of paying out the product (hereinafter, referred to as “prospect information”). In addition, some of the base terminals 2 further store vehicle information.
Here, "accepting" a product means temporarily storing the product for transportation or holding it as an inventory for selling the product. Specifically, for example, when a distribution company L, which has received a delivery request for a product from a vendor V, delivers products in the order of a distribution center, a warehouse, and a store, the distribution center, the warehouse, and the store all use the product as an inventory. "Accept".
Further, "delivering a product" means that a product held as an inventory is transported or sold to be removed from the hand.
In addition, the “probability of payout” of a product refers to the prospect of future payout of a product that is already held as an inventory or is planned to be held as an inventory at the inventory base K.

In this way, the base terminal 2 stores the stock information and the prospective information at the stock base K, and also stores the vehicle information. The server 1 acquires these pieces of information stored in the plurality of base terminals 2 and makes a delivery plan for each stock base K. As a result, it is possible to realize effective transportation in consideration of not only the information of the distributor but also the information of the shipper.

Each of the customer terminals 3-1 to 3-m in the present embodiment is an information processing device operated by each of the customers U1 to Um, and includes a personal computer, a smartphone, a tablet terminal, or the like.
Note that, hereinafter, when it is not necessary to individually distinguish the customers U1 to Um and the customer terminals 3-1 to 3-m, they are collectively referred to as “customer U” and “customer terminal 3”.

[Hardware configuration]
Next, the hardware configuration of the server 1 that executes various processes for providing this service will be described.
FIG. 3 is a block diagram showing a hardware configuration of the server 1 of FIG.

The server 1 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a bus 14, an input/output interface 15, an output unit 16, and an input unit 17. The storage unit 18, the communication unit 19, and the drive 20 are provided.

The CPU 11 executes various processes according to a program recorded in the ROM 12 or a program loaded from the storage unit 18 into the RAM 13.
The RAM 13 also appropriately stores data and the like necessary for the CPU 11 to execute various processes.

The CPU 11, ROM 12, and RAM 13 are connected to each other via a bus 14. An input/output interface 15 is also connected to the bus 14. An output unit 16, an input unit 17, a storage unit 18, a communication unit 19, and a drive 20 are connected to the input/output interface 15.

Although not shown, the base terminal 2 also has the hardware configuration shown in FIG.

The output unit 16 includes various liquid crystal displays and outputs various information.
The input unit 17 is made of various hardware such as lead and inputs various information.
The storage unit 18 is configured by a DRAM (Dynamic Random Access Memory) or the like, and stores various data.
The communication unit 19 controls communication with other devices (for example, the base terminals 2-1 to 2-n in FIG. 2) via the network N including the Internet.

The drive 20 is provided as needed. A removable medium 30 including a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is appropriately mounted on the drive 20. The program read from the removable medium 30 by the drive 20 is installed in the storage unit 18 as needed. In addition, the removable medium 30 can also store various data stored in the storage unit 18 similarly to the storage unit 18.

[Functional configuration]
Next, the function of the server 1 having such a hardware configuration will be described with reference to FIG.
FIG. 4 is a functional block diagram showing an example of the functional configuration of the server 1 of FIG.

As shown in FIG. 4, in the CPU 11 of the server 1, when the delivery planning process is executed, the order receiving/ordering information acquisition unit 101, the transportation distribution center information acquisition unit 102, the planning unit 103, and the presentation unit. 104 and function.
An ordering DB 401 and a transportation DB 402 are provided in one area of the storage unit 18.

The ordering/acceptance information acquisition unit 101 acquires, as the ordering/acceptance information, information regarding acceptance and payment of products at each of one or more bases.
Specifically, the ordering/ordering information acquisition unit 101 acquires ordering/ordering information of products at each of the inventory bases K1 to Kn. The ordering information also includes inventory information and expected information at each of the inventory bases K1 to Kn.
The ordering/ordering information acquired by the ordering/ordering information acquisition unit 101 at each of the stock bases K1 to Kn is stored and managed in the ordering/ordering DB 401.
It should be noted that the specific method for the order-acceptance information acquisition unit 101 to acquire the order-acceptance information is not particularly limited. For example, a method of acquiring the information stored in the base terminal 2 may be used, or another method may be used.

The freight distribution center information acquisition unit 102 acquires, as the freight distribution center information, information relating to freight that can be managed by a person who carries the merchandise, as information necessary for executing the freight plan.
Specifically, the freight distribution center information acquisition unit 102 uses the information managed by the distribution company L as the information necessary for executing a freight plan planned by the planning unit 103, which will be described later. Get as information. The transportation distribution center information includes the above-mentioned request information, vehicle information, and delivery information.
The transportation distribution center information acquired by the transportation distribution center information acquisition unit 102 is stored and managed in the transportation DB 402.
It should be noted that the specific method by which the transportation distribution center information acquisition unit 102 acquires the transportation distribution center information is not particularly limited. For example, a method of acquiring vehicle information or the like stored in the base terminal 2 operated by the distribution company L as the transportation distribution center information may be used, or another method may be used.

The drafting unit 103 drafts a transportation plan for eliminating delays in the stock of merchandise for each base, based on the information including the ordering information.
Specifically, the planning unit 103 delays the inventory of products based on the ordering/accepting information acquired by the ordering/accepting information acquiring unit 101 and the transportation/distribution center information acquired by the transportation/distribution center information acquiring unit 102. A transportation plan for eliminating the above is drafted for each of the inventory bases K1 to Kn.
As a result, in addition to information on the side of the distributor that the distributor L can inherently manage, planning of an effective delivery plan based on information on the side of the shipper that the store M, the shipper S, and the vendor V can inherently manage. Is possible. As a result, efficient and efficient transportation can be realized.

The planning unit 103 can also draft a delivery plan that minimizes the cost burden of a specific base (for example, the store M1).
As a result, it is possible to realize the transportation according to the effective transportation plan in consideration of the financial circumstances of the store M1 that receives the delivery of the product.
A specific example of the delivery plan created by the planning unit 103 will be described later with reference to FIG. 5 and subsequent figures.

The presentation unit 104 presents the planned transportation plan to each base.
Specifically, the presentation unit 104 transmits the transportation plan drafted by the drafting unit 103 to each of the base terminals 2-1 to 2-n. As a result, the delivery plan made by the server 1 can be easily referred to at each inventory site K.
Further, the presentation unit 104 presents the planned transportation plan to the customer.
Specifically, the presentation unit 104 transmits the transportation plan drafted by the drafting unit 103 to each of the customer terminals 3-1 to 3-m. As a result, each of the customers U1 to Um can easily refer to the delivery plan prepared by the server 1.

The ordering information DB 401 stores ordering information.
The transport DB 402 stores transport distribution center information.

Since the server 1 having the functional configuration as described above executes the above-described various processes, an effective delivery plan based on the information on the side of the distributor and the information on the side of the shipper is drafted. It is possible to realize efficient transportation without any problems.

[Concrete example]
Next, with reference to FIG. 5 to FIG. 14, a specific example of the delivery plan prepared by this service will be described.

(Specific example 1)
FIG. 5 is a diagram showing a specific example of the delivery plan created by this service.

When the delivery plan is created, the screen as shown in FIG. 5 is displayed on the base terminal 2. The screen displayed on the base terminal 2 includes display areas F1 to F4.

In the display area F1, the simulation result of the dispatch of the cargo transport vehicle T when the distributor L transports the goods on a predetermined day (for example, December 12) is displayed. A "set" is a packing unit for a product, and "1 set" is the minimum unit for transporting the product. The “cab”, “light vehicle”, “2t truck”, “4t truck”, and “10t truck” are all vehicles used as the cargo transport vehicle T by the logistics company L.
As shown by the gauge G in the display area F1, one taxi can carry only one set of products. A single light vehicle can carry up to 5 sets of products. One 2t truck can carry a maximum of 10 sets of products. One 4t truck can carry up to 25 sets of products. One 10-ton truck can carry up to 60 sets of goods.
In the example shown in FIG. 5, the bar B indicates that the planned value (reserved number) of the delivery quantity (set number) on December 12 is 12 sets. Therefore, the person who operates the base terminal 2 can see at a glance that one 4t truck needs to be dispatched.

A reservation adjustment screen is displayed in the display areas F2 to F4.
Of these, the display area F2 shows a daily weather forecast. That is, it can be seen that the weather forecast on December 12 is "cloudy" and the weather forecast on December 13 is "cloudy". The contents of the weather forecast on other days are as shown in the display area F2 of FIG.
As a result, the person who operates the base terminal 2 can grasp the daily weather forecast at a glance.

In the display area F3, last year's results (past results) regarding the transportation quantity are displayed for each day. That is, it can be seen that the actual results on December 12, last year are "5 sets (transportation by one light vehicle)", and the actual results on December 13, last year are "6 sets (transportation by one 2t truck)". Also, it can be seen that the past record on December 15, last year was "40 sets (transported by one 10t truck)" and the weather was "cloudy". In this way, the weather may be displayed in the past record. Note that last year's results (past results) on other days are as shown in the display area F3 of FIG.
It should be noted that the past record may be the last year's value as shown in the example of FIG. 5 or the average value of the past several years, as long as it is information that can be referred to by the person who operates the base terminal 2. May be.
As a result, the person who operates the base terminal 2 can at a glance grasp the past performance regarding the transportation quantity.

In the display area F4, the planned value (the number of reservations) of the quantity of goods delivered to each of the stores M1 to M11 is displayed for each day.
That is, as of December 12, the delivery quantity to the store M1 is “2 sets”, the delivery quantity to the store M3 is “3 sets”, the delivery quantity to the store M5 is “1 set”, the delivery quantity to the store M8. Is "2 sets", the quantity delivered to the store M9 is "4 sets", and the quantity delivered to the stores M2, M4, M6, M7, M10, and M11 is "0 set (no delivery)", which is the total. It can be seen that the number of items transported is "12 sets".
The delivery quantity to the store M4 on December 13 is "3 sets", the delivery quantity to the stores M1 to M3, M5 to M11 is "0 set (no delivery)", and the total delivery quantity Is "12 sets".
Further, as of December 14, the delivery quantity to the store M1 is “3 sets”, the delivery quantity to the store M2 is “3 sets”, the delivery quantity to the store M3 is “6 sets”, the delivery quantity to the store M5. Is "3 sets", the delivery quantity to the store M7 is "1 set", the delivery quantity to the store M11 is "4 sets", and the delivery quantity to the stores M4, M6, and M8 to M10 is "0 set ( It can be seen that the total delivery quantity is "20 sets". The quantity delivered for other days is as shown in the display area F4 of FIG.

Thereby, the person who operates the base terminal 2 can at a glance grasp the planned value (the number of reservations) of the daily delivery quantity for each of the stores M1 to M11.
Specifically, for example, on December 12, there are 12 sets of reservations, so it is simulated that one 4t truck will be transported. However, since a maximum of 25 sets can be carried by one 4t truck, 13 sets can be carried. That is, if 13 sets of additional reservations are made, one set of 4t trucks will carry 25 sets, so that it can be carried efficiently.

In other words, in the above case, if you try to transport 12 sets of goods with one 2t truck, you will exceed the maximum loading capacity (10 sets) of 2t trucks by 2 sets. Further, if it is attempted to transport 12 sets of goods by one 4t truck, 13 sets are not enough up to the maximum loading capacity of the 4t truck (25 sets), so that it can be transported, but it is inefficient. Therefore, in this service, the planned value (reserved number) of the delivery quantity for each type of cargo transport vehicle T (taxi, light vehicle, 2t truck, 4t truck, and 10t truck) is the maximum within the maximum load capacity range. Is adjusted to. As a result, efficient transportation can be realized, and the freight revenue of the logistics company L can also be maximized.

In the above case, 10 sets out of 12 sets can be carried by one 2t truck, and the remaining 2 sets can be carried by one light vehicle. However, it is not efficient because it is necessary to allocate two cargo transport vehicles T in total, and it is necessary to secure two drivers in total.
Therefore, as described above, it is preferable to make adjustments so that the planned value (reserved number) of the delivered quantity approaches the maximum load capacity (for example, 5 sets for a light vehicle) of each freight carrier vehicle T.

In this service, the entire delivery plan can be adjusted by appropriately correcting the planned value (reserved number) of the delivery quantity for each day of the stores M1 to M11 shown in the display area F4. To adjust the planned value (reserved number) of the delivery quantity, the delivery plan is displayed by activating an application program (hereinafter referred to as “app”) downloaded to the base terminal 2 or activating a Web browser. be able to.
Furthermore, it is also possible to positively recommend the person in charge of each of the stores M1 to M11 who operates the base terminal 2 to adjust the planned value (reserved number) of the delivered quantity via an application or the like.
Hereinafter, with reference to FIGS. 6 to 10, a specific method of appropriately correcting the planned value (the number of reservations) of the daily delivery quantity of the stores M1 to M11 will be described.

FIG. 6 is a diagram showing a specific method of adjusting the entire delivery plan by correcting the planned value (the number of reservations) of the daily delivery quantity of the store M8.

As shown in FIG. 5, the total of the planned value (the number of reservations) of the delivered quantity on December 12 is 12, so as described above, if there are 13 additional reservations, one 4t truck is used. It can be transported efficiently. However, if it is not possible to expect an additional reservation, if 2 sets out of 12 sets can be carried on a day other than 12th December, then only 10 sets will be carried on 12th December.
For example, as shown in the display area F4 of FIG. 6, if the date of delivery to the store M8 can be moved backward by one day, it is sufficient to transport only 10 sets by one 2t truck on December 12th. Can be transported.

Here, if the delivery date is moved backward by one day, the total planned value (number of reservations) for the delivery quantity on December 13 will increase from 3 sets to 5 sets, so on December 13 the maximum for one mini vehicle will be the maximum. It will carry 5 sets, which is the loading capacity. In other words, not only December 12, but also December 13 can be efficiently transported.
Therefore, this service recommends that stores M1, M3, M5, M8, and M9 whose delivery date is December 12th should change the delivery date from December 12th to December 13th. Give out. Specifically, guidance is displayed on the base terminal 2 including a merit that the fare is discounted if the delivery date is changed from December 12 to December 13.
On the other hand, if there is a reply from the store M8 that the delivery date may be changed from December 12th to December 13th, on December 12th, a 2t truck will transport only 10 sets. do it. Also, since December 13th only needs to carry 5 sets by one light vehicle, efficient transportation can be realized.

FIG. 7 is a diagram showing a specific method for adjusting the entire delivery plan by correcting the scheduled value (the number of reservations) of the daily delivery quantity of the store M4.
FIG. 8 is a diagram showing a specific method of adjusting the entire delivery plan by newly adding the planned value (the number of reservations) of the daily delivery quantity of the store M9.

As shown in FIG. 5, the delivery on December 13 is only three sets for the store M4. Therefore, if the delivery date of the store M4 can be changed from December 13 to December 14, The day does not have to run the cargo transport vehicle T. You can also rest the driver.
Further, as shown in FIG. 7, the total of the planned value (reserved number) of the delivered quantity on December 14 is 20 sets, so even if 3 sets are increased due to this change, the maximum loading capacity of the 4t truck ( Up to 25 sets), there are two more sets available. Therefore, if two sets of additional reservations are made, it is possible to carry the truck with the maximum loading capacity (25 sets) of the 4t truck on December 14, which is efficient.

Therefore, this service will issue a notice to stores M1 to M11 stating that there is a merit such as a discounted fare if a new reservation with a delivery date of December 14th is made. Further, the customer U who can use the stores M1 to M11 is notified of the stores M1 to M11. Specifically, information on the stores M1 to M11 is displayed on the customer terminal 3 to recommend the purchase of the product. A specific example of information regarding the stores M1 to M11 displayed on the customer terminal 3 will be described later with reference to FIG.

Further, the merits described in the guide to the stores M1 to M11 are not limited to monetary items such as fare discounts. For example, as shown by the broken line in FIG. 8, information based on a weather forecast and past results may be included in the guidance.
Specifically, if the product is a product such as a studless tire that needs to be purchased before snow falls, it is effective to issue the following guidance. In other words, the amount of transportation increased dramatically due to the continuous snowfall from December 16th to December 18th last year, but it is announced that snow will be forecast from December 17th to December 18th this year as well. Include in. As a result, it can be expected that there will be a store M that offers to deliver on December 14th ahead of schedule.
If there is a new order (two sets) with the delivery date of December 14th from the store M9, as shown in FIG. 8, December 14th has the maximum load capacity on the 4t truck. 25 sets can be carried. As a result, efficient transportation can be realized.

FIG. 9 is a diagram showing a specific example of information on the stores M1 to M11 displayed on the customer terminal 3.

As shown in FIG. 9, the customer terminal 3 displays a list of information on each of the stores M1 to M11.
That is, in FIG. 9, information on the stores M8, M10, M7, and M3 among the stores M1 to M11 is displayed as an example. Specifically, a store appearance photograph, an evaluation from the customer U (the number of stars), a store name, a telephone number, a location, a distance from the customer terminal 3, and the lowest price of the product are displayed. Further, when the discount charge is applied, an icon indicating that (the icon displayed as "discount") is displayed. As shown in FIG. 9, the order of display of the stores M1 to M11 displayed in a list on the customer terminal 3 is rearranged from “distance from the customer terminal 3”, “commodity charge”, and “reputation from the customer U”. Items can be sorted in ascending or descending order.

Here, when the customer U considers purchasing a product at the store M8, he or she operates the customer terminal 3 to press the icon indicating the store M8 among the stores M1 to M11 displayed in a list. .. Then, the reservation screen for purchasing the product at the store M8 is displayed. A specific example of the reservation screen displayed on the customer terminal 3 will be described later with reference to FIG.

FIG. 10 is a diagram showing a specific example of the reservation screen displayed on the customer terminal 3.

In the example shown in FIG. 10, the plurality of buttons D1 to D6 for making a reservation for a product in the store M8 are displayed on the customer terminal 3 along with the information about the store M8 for each time period in which the product is provided. There is. Further, an icon indicates that the discount charge is applied every time when the product is provided.
Specifically, for example, when the product is a studless tire and the customer U reserves a work for exchanging the product for goods between 9:00 and 10:00 on December 14, the button D2 is pressed. Further, as shown in FIG. 10, a discount charge of "-500 yen" is applied during this time period.
As a result, the customer U can easily purchase the product and can obtain a new reservation for the store M8 on December 14, so that the efficient transportation as shown in FIG. 8 described above is facilitated. Can be realized.

(Specific example 2)
FIG. 11 is a diagram showing another specific example of this service.
In the area A shown in FIG. 11, there are a distribution center C1, a warehouse W, stores M1 to M3, and freight transport vehicles T1 to T3, respectively. Note that, hereinafter, when it is not necessary to individually distinguish the stores M1 to M3 and the freight transport vehicles T1 to T3, they are collectively referred to as a “store M” and a “freight transport vehicle T”.

The distribution center C1 is one of the large-scale inventory bases K, which is owned by the distribution company L and holds the products addressed to the customer U in eastern Japan as inventory. Although not shown in the figure, there is also a distribution center C2 that holds the products addressed to the customer U in West Japan as inventory.

The warehouse W is one of the inventory bases K, which is owned by the logistics company L and which stores the products addressed to the customer U in the region A as an inventory. The inventory held by the warehouse W is the one that has been transported from the distribution center C1.

Stores M1 to M3 are retail stores that sell products to customers U in region A. The products sold by each of the stores M1 to M3 are those shipped from the warehouse W. The stores M1 to M3 are all one of the inventory bases K.

The freight transport vehicles T1 to T3 in the second specific example are all trucks that transport goods. The freight transport vehicle T1 is a truck that is in charge of transporting goods between the vendor V and the distribution center C1. The freight transport vehicle T2 is a truck that is in charge of transporting goods between the distribution center C1 and the warehouse W. The freight transport vehicle T3 is a truck that is in charge of transporting goods between the warehouse W and the stores M1 to M3.
For convenience of explanation, only one of each of the freight transport vehicles T1 to T3 in FIG. 11 is displayed, but each is not limited to one, and a plurality of vehicles of various types (loading capacity) can be operated. It is assumed that

When the conventional method is used, the products are delivered in the region A shown in FIG. 11 in the order of the product vendor V, the distribution center C1, the warehouse W, and the stores M1 to M3. Further, as described above, the product delivery plan is created based only on the information on the side of the distributor.

For example, when the store is closed on July 20 (6:00 pm), there are 80 sets of merchandise in stock, and the sales forecast for the next day (July 21) and the day after the next (July 22) is It is assumed that there are 20 sets and 100 sets, respectively. In this case, since there are 80 sets in stock when the store is closed on July 20 (6:00 pm), there is no problem in sales on the next day (July 21). However, at least 40 sets must be stocked by the time of closing (6:00 pm) on the next day (July 21) to prepare for the sale on the day after (July 22).

In such a case, the store M1 orders the shipper S (Fig. 1) to deliver 40 sets for sale on July 22 by the time of closing on July 21 (6:00 pm). To do. The consignor S, who has received the order from the store M1, sends the logistics company L via the vendor V so that 40 sets can be delivered to the store M1 by the time of closing on July 21 (6:00 pm). Make a request. The logistics company L that has received the transportation request creates a delivery plan for delivering 40 sets to the store M1 by 6:00 pm on July 21, based on the content of the request.

Specifically, the distributor L confirms the inventory of the warehouse W that controls the area A, and if the inventory is sufficient, for example, creates the following delivery plan.
That is, the distribution company L has a product name of “product”, a departure place of “warehouse W”, a delivery place of “store M1 (recipient)”, a departure date of “July 21st 4:00 pm”, a delivery date and time. Will create a delivery plan such as "July 21st 5:00 pm" and the truck used is "one 2t (ton) truck".

On the other hand, if the warehouse W does not have sufficient inventory, the distributor L creates the following delivery plan, for example.
That is, the product name is "product", the departure place is "distribution center C1", the transit point is "warehouse W", the delivery place is "store M1 (receiver)", and the departure date is "July 21st 1:00 pm ”, the arrival date and time at the transit point is “July 21st 2:00 pm”, the used truck from the departure point to the transit point is “10t truck mixed loading flight”, the departure date and time at the transit point is “July 21st” Create a delivery plan such as "4:00 pm", the delivery date and time is "July 21, 5:00 pm", and the trucks used from the transit point to the delivery point are "2t truck/charter flight".
As described above, when the conventional method is used, the distributor L creates the delivery plan based on the information on the distributor side.

As described above, in the conventional delivery management, when the distributor L creates the delivery plan, only the information on the distributor side is considered, and the information on the shipper side is not considered. For this reason, the delivery plans that were created were often ad hoc and inefficient.
For example, the store M1 described above orders the shipper S to deliver 40 sets by 6:00 pm on July 21, the following day, at 6:00 pm on July 20, at the time of 6:00 pm. ing. This is based on the sales forecast of the next day (July 21st) and the day after the next day (July 22nd), but the sales forecast after that is not taken into consideration. That is, a delivery plan based on continuous sales prospects such as one week, two weeks, one month, quarter, half a year, and one year from July 20 has not been made. As a result, the delivery plans created were often ad hoc and inefficient.
Therefore, according to this service, it is possible to create a delivery plan based on continuous sales prospect, which could not be realized by the conventional delivery management method.

Specifically, in this service, a delivery plan based on the ordering/ordering information in the store M is output. The delivery plan includes, for example, a delivery plan that minimizes the cost burden of the store M. Further, when the delivery plan is drafted, the working conditions of the driver of the cargo transport vehicle T and the like are taken into consideration, so that the delivery plan that complies with the compliance is drafted.
The delivery plan prepared by this service is presented to the person in charge of each inventory site via the site terminal 2. Specifically, for example, the delivery plan can be displayed by activating an application downloaded to the base terminal 2 or activating a Web browser.

Next, a specific example of the delivery plan prepared by the server 1 will be described with reference to FIGS. 12A to 14.
FIG. 12A and FIG. 12B are diagrams showing specific examples of inventory information and prospective information, among the ordering and ordering information that is the basis when the delivery plan is drafted.

FIG. 12A is a diagram showing a specific example of inventory information of the product I in the store M1 among the ordering/ordering information which is the basis for the server 1 to make a delivery plan.
According to the inventory information shown in FIG. 12A, the inventory of the store M1 is 180 sets at 8:00 am before the opening of the store on Monday, July 21, today.
12A and 12B, only the inventory information of the store M1 is shown, but the inventory information of the stores M2 and M3, the warehouse W, and the distribution center C1 is also managed.

FIG. 12B is a diagram showing a specific example of the prospective information of the store M1 among the information serving as the basis when the server 1 makes a delivery plan.
According to the forecast information shown in FIG. 12B, at 8:00 am on Monday, July 21, today, the expected payout (that is, the planned sales amount) for one week from Monday, July 21, to Sunday, July 27 is 20 sets, 100 sets, 20 sets, 10 sets, 40 sets, 200 sets and 250 sets respectively. The expected payout is calculated based on the received order amount, the past payout result (for example, the result of the same period of the previous year, the result of the same period of the previous month, the result of last week).

FIG. 13 is a diagram showing a specific example of vehicle information in the transportation and distribution center information, which is the basis for making a delivery plan.

According to the vehicle information illustrated in FIG. 13, there are four types of cargo transport vehicles T operating as the cargo transport vehicles T1 to T3, that is, a 10t truck, a 4t truck, a 2t truck, and a light truck, each having a loading capacity of 10t. It is 4t, 2t and 350kg. And, the maximum amount (maximum load amount) of the products I that can be loaded at one time by one cargo transport vehicle T is 100 sets, 40 sets, 20 sets, and 3 sets, respectively.
Further, regarding the number of these four types of freight transport vehicles T, for a 10-ton truck, a total of twelve freight transport vehicles T1, five freight transport vehicles T2, and three freight transport vehicles T3 are operating. .. Regarding the 4t truck, a total of 5 trucks, three as a cargo transport vehicle T2 and two as a cargo transport vehicle T3, are in operation. As for the 2t truck, a total of 5 trucks are operating, three trucks T2 and two trucks T3. For light trucks, five freight transport vehicles T3 are in operation. That is, the total number of freight carriers T used for transporting the product I in the region A is 27.

In addition, the vehicle information includes information about the cargo transport vehicle T itself and information about a driver of the cargo transport vehicle T for each of the 27 cargo transport vehicles T. The information regarding the freight transport vehicle T itself includes a vehicle number, a load capacity, and a vehicle rating. The information about the driver includes a name (driver's name), age, cumulative overtime hours of this month (cumulative overtime hours), and hours that can be overtime worked this month (overtime overtime).
Specifically, for example, of the five freight transport vehicles T that are deployed as the freight transport vehicle T1, the freight transport vehicle T with a vehicle number of “Yamanashi 100 or XX-XX” has a load capacity of “10t”, The car rating is "10t wing". In addition, the driver of this cargo transport vehicle T is named "Jiro Yamada", age is "34 years old", cumulative overtime hours for this month is "38 hours", and overtime hours for this month is "1 hour". .. Note that the vehicle information of the other cargo transport vehicles T provided as the cargo transport vehicles T1 to T3 is as shown in FIG.
In this way, when the delivery plan is drafted, the working conditions of the driver of the cargo transport vehicle T and the like are taken into consideration, so that the delivery plan that complies with the compliance is drafted.

Note that the present invention is not particularly limited to this example, and for example, overtime may be managed on a daily, weekly, monthly, or yearly total overtime basis.
Further, for example, the schedule may be managed by managing the labor, overtime, and the number of working days.
Further, the schedule may be managed in consideration of information such as the driver's own illness and physical condition that prevents overworking. The physical condition may be manually input by the driver, but an application or the like may be installed in the driver's terminal (smartphone) and the physical condition may be sensed at the time of login.

FIG. 14 is a diagram showing a specific example of a delivery plan planned by the server 1 based on various information shown in FIGS. 12A, 12B, and 13.

FIG. 14 shows a delivery plan for one week from Monday, July 21, to Sunday, July 27, in the store M1 at 8:00 am on Monday, July 21.

The delivery plan shown in FIG. 14 describes the planned delivery number for each day from Monday, July 21st to Sunday, July 27th, and information on the cargo transport vehicle T3 used for delivery.
As the planned delivery quantity, two types of patterns, "delivery pattern 1" and "delivery pattern 2" are described.
Of these, the "delivery pattern 1" indicates a delivery pattern in which delivery is performed almost every day in accordance with the inventory quantity of the store M1 and the expected delivery quantity of the day. That is, with the delivery pattern 1, the store M1 can avoid the risk of having a large inventory.
In addition, “delivery pattern 2” indicates a delivery pattern in which the expected delivery quantity for one week is delivered in one batch for a plurality of days if possible. That is, the “delivery pattern 2” is a delivery pattern (and a vehicle allocation pattern described later) in which the server 1 can efficiently use the empty space of the cargo transport vehicle T in order to reduce the number of times of transportation. With such a delivery pattern, the store M1 can reduce the number of deliveries, and thus the fare can be reduced.

The delivery plan shown in FIG. 14 describes two types of patterns, “vehicle allocation pattern 1” and “vehicle allocation pattern 2”, regarding the type and number of freight transport vehicles T3 used for delivery. Of these, the "vehicle allocation pattern 1" is a vehicle allocation pattern corresponding to the above-mentioned "delivery pattern 1". The “vehicle allocation pattern 2” is a vehicle allocation pattern corresponding to the “delivery pattern 2” described above.

Specifically, the delivery pattern 1 (and the vehicle allocation pattern 1) includes 20 sets of one 2t truck on Monday, July 21 today, as the planned number of deliveries (and used trucks), Tuesday, July 22. 80 sets using one 10t truck, 30 sets using one 4t truck on Thursday 24th July, 10 sets using one 2t truck on Friday 25th July, Saturday 26th July It is shown that 250 sets will be delivered using 3 10t trucks and 180 sets will be delivered using 2 10t trucks on Sunday, July 27. Further, it is shown that the transportation fee is XX million yen.

On the other hand, in the delivery pattern 2 (and the vehicle allocation pattern 2), as the planned delivery number (and used truck), 100 sets using one 10-ton truck on Monday, July 21, today, Thursday, July 24. It will be delivered 40 sets using one 4t truck, 250 sets using three 10t trucks on Saturday, July 26, and 180 sets using two 10t trucks on Sunday, July 27. Has been done. Further, it is shown that the transportation fee is XX million yen.
Note that the vehicle allocation pattern shown in FIG. 14 describes only the type and number of trucks used, but the delivery plan includes the specific contents of the vehicle information of the cargo transport vehicle T to be used. That is, since the vehicle allocation pattern is drafted including the information about the driver of the cargo transport vehicle T, it is also possible to draft a delivery plan including compliance with the working hours of the driver of the cargo transport vehicle T.

As described above, since two types of delivery patterns are shown in the delivery plan planned by the server 1, the store M1 determines that the delivery pattern (and the vehicle allocation) is suitable for the financial situation and the business situation at that time. Pattern) can be selected.
As a result, it is possible to realize efficient transportation in consideration of not only the information of the distributor but also the information of the shipper.

In addition, the conventional schedule adjustment method simply ends up with the convenience of the ordering of the parcel of the store, the individual, or the like, or the destination of the shipment.
On the other hand, by applying the above-described embodiment, it is possible to meet not only the ordering or shipping destination of parcels of a store or an individual, but also the requests of the shipper, vendor, and distribution side during that period. Therefore, proper and efficient scheduling becomes possible.
Further, it becomes possible to perform scheduling considering each of equipment and people as an element of scheduling. In other words, in the past, only one of the elements was taken into consideration and the scheduling was meaningless, but this is no longer the case.

Although one embodiment of the present invention has been described above, the present invention is not limited to the above-described embodiment, and modifications, improvements, etc. within the scope of achieving the object of the present invention are included in the present invention. Is.

For example, in the above-described embodiment, the logistics company L uses the freight carrier vehicle T to transport the goods, but the cargo carrier vehicle T is not limited to the vehicle and may be, for example, a ship or an air vehicle.

Also, for example, the delivery plan proposed in the above-described embodiment is for a period of about one week, but this is merely an example. We can formulate delivery plans in every unit such as one month, quarter, half a year, and one year.

Further, for example, the delivery plan shown in FIG. 14 shows two types of delivery patterns (and a vehicle allocation pattern 2), but this is merely an example. Many more types of delivery patterns may be designed. For example, in the delivery plan 1 (and the vehicle allocation pattern 1) of the delivery plan shown in FIG. 14, 10 sets are delivered by one 2t truck on Friday, July 25, but other vehicle allocation patterns are set. May be planned. For example, although not shown, a vehicle allocation pattern 3 in which 10 sets are delivered by 4 light trucks may be planned. In this case, if the transportation fee for using one 2t truck is 30,000 yen and the transportation fee for using four light trucks is 24,000 yen (6000 yen x 4 vehicles), the dispatch pattern 3 is " It is designed as a vehicle allocation pattern with the lowest transportation fee.
Similarly, in Pattern 1, 250 sets will be delivered by three 10-ton trucks on Saturday, July 26, but a vehicle allocation pattern 3 (not shown) as a "vehicle allocation pattern with the lowest transportation charge" is shown. ) May be planned. For example, a vehicle allocation pattern 3 in which 250 sets are delivered by two 10t trucks, one 4t truck, and one 2t truck may be planned. Here, the transportation fee for using a 10-ton truck is 100,000 yen per vehicle, the transportation fee for using a 4-ton truck is 70,000 yen, and the transportation fee for using a 2-ton truck is 30,000 yen. In this case, the shipping fee will be as follows. That is, the charge for pattern 1 is 300,000 yen (100,000 yen x 3 units), but the price for pattern 3 is 290,000 yen (100,000 yen x 2 units + 60,000 yen x 1 unit + 30,000 yen x 1 unit) It's reasonably priced.
In addition, when the transportation fee varies depending on the day of the week due to the busy situation of the logistics company L, for example, a delivery pattern (and a vehicle dispatch pattern) that recommends transportation on weekdays rather than transportation on weekends when the transportation fee is relatively high may be planned. it can. Specifically, although not shown, a delivery pattern for delivering 470 sets, which are scheduled to be delivered by the weekend, at once as of Wednesday, July 23 and Thursday, July 24, at relatively low shipping rates ( And a vehicle allocation pattern).

Moreover, each hardware configuration shown in FIG. 3 is merely an example for achieving the object of the present invention, and is not particularly limited.

Also, the functional block diagram shown in FIG. 4 is merely an example and is not particularly limited. That is, it suffices if the information processing system has a function capable of executing the above-described series of processing as a whole, and what kind of functional block is used to realize this function is not particularly limited to the example of FIG. ..

Further, the location of the functional block is not limited to that shown in FIG. 4 and may be any location. For example, at least a part of the functional blocks on the server 1 side may be provided on the base terminal 2 side, or vice versa.
Further, one functional block may be configured by hardware alone or may be configured by combination with software alone.

When the processing of each functional block is executed by software, a program forming the software is installed in a computer or the like from a network or a recording medium.
The computer may be a computer embedded in dedicated hardware. Further, the computer may be a computer capable of executing various functions by installing various programs, for example, a general-purpose smartphone or a personal computer other than a server.

The recording medium containing such a program is not only constituted by a removable medium which is distributed separately from the apparatus main body in order to provide the program to each user, but is also installed in the apparatus main body in advance to each user. It is composed of a recording medium provided.

In the present specification, the steps of writing the program recorded on the recording medium are not limited to the processing performed in time series according to the order, but may be performed in parallel or individually even if the processing is not necessarily performed in time series. It also includes the processing to be performed.
In addition, in the present specification, the term “system” means an overall device including a plurality of devices and a plurality of means.

In summary, the information processing apparatus to which the present invention is applied may have various configurations as long as it has the following configuration.
That is, the information processing apparatus to which the present invention is applied (for example, the server 1 in FIG. 4) is
In an information processing device that plans a transportation plan (for example, delivery plan) regarding transportation of goods between bases (for example, stores M1 to M11),
First acquisition means (for example, the ordering information acquiring unit 101 in FIG. 4) that acquires, as the ordering information, information regarding the acceptance and delivery of the products in each of the one or more bases;
Planning means (for example, the planning unit 103 in FIG. 4) for planning the transportation plan for eliminating the stock lag of the merchandise based on the information including the ordering information,
Equipped with.

With this, it is possible to easily create a flexible delivery plan that takes into consideration the information on the shipper side. As a result, efficient and efficient transportation can be realized.

Further, it is possible to further include a presentation unit (for example, the presentation unit 104 in FIG. 4) that presents the transportation plan drafted by the drafting unit to the base.

With this, the person who operates the base terminal 2 can grasp the planned delivery plan at a glance, so that it becomes easy to adjust the schedule at each stock base K (store M etc.), for example.

Moreover, the ordering information may include information (for example, prospective information) regarding the prospect of paying out the merchandise at each of the one or more bases.

With this, it is possible to easily create a flexible delivery plan that takes into consideration the information on the shipper side, including future prospects. For example, it is possible to easily create a delivery plan that takes into consideration past performance such as the performance of last year and weather.

In addition, as information necessary for carrying out the transportation plan, a second acquisition unit (for example, the transportation distribution center information in FIG. 4) that acquires, as transportation distribution center information, information about transportation that can be managed by a person who transports the product. Further comprising an acquisition unit 102),
The drafting means can draft the transportation plan that eliminates the delay in the inventory of the goods at the base, based on the acquired transportation distribution center information and the received ordering information.

With this, it becomes possible to make an effective delivery plan based on the information of the distributor and the information of the shipper.

The planning means may further adjust the quantity of the product transported to the site at one time to prepare the transportation plan for eliminating the stock lag of the product at the site.

This makes it possible to formulate an effective and flexible delivery plan based on the information of the distributor and the information of the shipper. As a result, more efficient and efficient transportation can be realized. For example, with the approval of the shop M or the like, it is also possible to divide the transportation into 2t trucks and light vehicles and to divide the transportation.

1: server, 2,2-1,2-n: base terminal, 3,3-1,3-m: customer terminal, 11:CPU, 12:ROM, 13:RAM, 14:bus, 15:input/output Interface, 16: Output unit, 17: Input unit, 18: Storage unit, 19: Communication unit, 20: Drive, 30: Removable media, 101: Order information acquisition unit, 102: Transportation distribution center information acquisition unit, 103: Planning Department, 104: Presentation Department, 401: Ordering DB, 402: Transportation DB, M, M1 to M11: Stores, S: Shipper, V: Vendor, L: Logistics Agent, K, K1 to Kn: Bases, U, U1 to Um: Customer, I: Product, N: Network, A: Area, C1, C2: Logistics Center, F1 to F4: Display Area, B: Bar, G: Gauge, D1 to D6: Button, W: Warehouse, T, T1 to T3: Cargo carrier

Claims (5)

1. In an information processing device that plans a transportation plan of goods between bases as a transportation plan,
   First acquisition means for acquiring, as ordering and ordering information, information regarding acceptance and withdrawal of products in each of the one or more bases;
   Planning means for planning the transportation plan for eliminating the stock lag of the product based on the information including the ordering information, for each of the bases,
   An information processing apparatus including.
2. The transportation plan prepared by the planning unit is further provided with a presentation unit for presenting the transportation plan to the base.
   The information processing apparatus according to claim 1.
3. The ordering information includes information on the prospect of paying out the merchandise at each of the one or more bases.
   The information processing apparatus according to claim 1.
4. As information necessary for carrying out the transportation plan, there is further provided second acquisition means for acquiring, as transportation distribution center information, information regarding transportation that can be managed by a person who transports the product.
   The drafting means drafts the transportation plan for eliminating the inventory delay of the goods at the base, based on the acquired transportation distribution center information and the ordering information.
   The information processing apparatus according to any one of claims 1 to 3.
5. The planning unit further adjusts the quantity of the product transported to the base at one time to prepare the transportation plan for eliminating the stock lag of the product at the base.
   The information processing apparatus according to claim 4.

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