WO2021059415A1 - Least expensive transport route determination system, method, and program - Google Patents

Least expensive transport route determination system, method, and program Download PDF

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Publication number
WO2021059415A1
WO2021059415A1 PCT/JP2019/037717 JP2019037717W WO2021059415A1 WO 2021059415 A1 WO2021059415 A1 WO 2021059415A1 JP 2019037717 W JP2019037717 W JP 2019037717W WO 2021059415 A1 WO2021059415 A1 WO 2021059415A1
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WIPO (PCT)
Prior art keywords
transportation
information
cheapest
transportation route
demand
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PCT/JP2019/037717
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French (fr)
Japanese (ja)
Inventor
佐野　直人
憲之 根本
将仁 谷口
浩 秋葉
Original Assignee
株式会社 日立物流
株式会社ウフル
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Application filed by 株式会社 日立物流, 株式会社ウフル filed Critical 株式会社 日立物流
Priority to JP2021548062A priority Critical patent/JP7181420B2/en
Priority to PCT/JP2019/037717 priority patent/WO2021059415A1/en
Publication of WO2021059415A1 publication Critical patent/WO2021059415A1/en

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
    • B65G61/00—Use of pick-up or transfer devices or of manipulators for stacking or de-stacking articles not otherwise provided for
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management

Definitions

  • the present invention relates to a computer, method and program for determining the cheapest transportation route by predicting the supply and demand of goods stored in a warehouse and creating the cheapest transportation route.
  • Patent Document 1 is provided with a technique for formulating a transportation plan for the purpose of making a transportation plan.
  • the present invention predicts the supply and demand of goods from the transportation information transported from the warehouse to the buyer and the storage information stored in the warehouse, and predicts the supply and demand of the product, the base, the date and the number. It is an object of the present invention to provide the cheapest transportation route determination system, method and program for determining the cheapest transportation route according to the above.
  • the present invention is the cheapest transportation route determination computer that predicts the supply and demand of products stored in a warehouse and determines the cheapest transportation route, and transport information of the products being transported from the warehouse to the buyer. And, the storage information of the product stored in the warehouse, the acquisition means for acquiring the product, and the related data in which the acquired transportation information and the storage information are associated with each other are learned to predict the supply and demand of the product.
  • the present invention is a method for determining the cheapest transportation route by predicting the supply and demand of the products stored in the warehouse and determining the cheapest transportation route, and is a method for determining the cheapest transportation route for the products being transported from the warehouse to the buyer. Predict the supply and demand of the product by learning the steps to acquire the transportation information, the storage information of the product stored in the warehouse, and the related data associated with the acquired transportation information and the storage information. According to the step, the step of determining the base, the due date and the number of the goods for efficiently transporting the goods to the buyer according to the result of the prediction, and the determined base, the due date and the number of goods. Provided, a step of determining the cheapest transportation route, and a method of determining the cheapest transportation route.
  • the present invention is a program that causes a computer to perform a process of determining the cheapest transportation route by predicting the supply and demand of goods stored in the warehouse and determining the transportation route of the lowest price, from the warehouse to the buyer.
  • a step of predicting the supply and demand of the product a step of determining a base, a date and a quantity for efficiently transporting the product to the buyer according to the result of the prediction, and the determined base. It provides a step to determine the cheapest transportation route according to the due date and the number of items, and a program to execute.
  • the supply and demand of goods is predicted from the transportation information transported from the warehouse to the buyer and the storage information stored in the warehouse, and the cheapest according to the base, the date and the number. It was decided to determine the transportation route for the toll. Therefore, it is possible to predict the supply and demand of the products stored in the warehouse, determine the cheapest transportation route, and raise the profit margin of the user.
  • the present invention predicts the supply and demand of goods from the transportation information transported from the warehouse to the buyer and the storage information stored in the warehouse, and the lowest price is obtained according to the base, the due date, and the number of products. It is a technology for determining the transportation route and raises the profit margin of the user.
  • FIG. 1 is a diagram showing an outline of the cheapest transportation route determination overall system (hereinafter referred to as “overall system”) 100 according to the present embodiment.
  • the entire system 100 is configured around the server 30, and the server 30, the terminal of the transportation vehicle 10, the terminal of the warehouse 20, the terminal of the seller 80, the terminal of the transportation company 82, and the terminal of the base manager 84 are connected to the Internet. They are connected to each other so that they can communicate with each other by a network (not shown) such as. In addition, it may be connected to the buyer's terminal so that data communication is possible.
  • the server 30 may be a single computer, for example, a terminal. Further, each configuration may be a computer system (cloud) executed by a different computer.
  • the server 30 acquires the transportation information 12 by receiving the transportation information 12 (step). SA).
  • the transportation information 12 is transportation information provided during transportation from, for example, a transportation means in air transportation, sea transportation, and land transportation, and includes a product name, a number of transportations, a transportation area, a transportation date, and the like.
  • the transportation information 12 may be grasped from the slip information transmitted from the transportation company 82, or may be grasped by acquiring the identification information attached to the product on the loading platform of the transportation vehicle 10.
  • the input contents (slip information and the like) received by the terminal of the transportation company 82 are transmitted, and the server 30 acquires the transportation information 12 by receiving the input contents.
  • the terminal acquires the identification information attached to the product on the loading platform of the transportation vehicle 10 and transmits the identification information, and the server 30 receives the identification information to acquire the transportation information 12 from the identification information.
  • the server 30 acquires the storage information 22 by receiving the storage information 22 (step SB).
  • the storage information 22 includes, for example, a product name and the number of storages.
  • the storage information 22 may be grasped from the slip number transmitted from the base manager 84, or may be grasped by acquiring the identification information attached to the product stored in the warehouse 20.
  • the storage information 22 is transmitted with input contents (such as a slip number) received by the terminal of the base manager 84, and the server 30 acquires the storage information 22 by receiving the input contents.
  • the terminal acquires the identification information attached to the product stored in the warehouse 20 and transmits the identification information
  • the server 30 receives the identification information to acquire the storage information 22 from the identification information.
  • the server 30 learns the related data in which the acquired transportation information 12 and the storage information 22 are associated with each other, and predicts the supply and demand of the product (step S1). For example, it is possible to predict the supply and demand of products on a monthly basis by learning which products were sold in which region, on what date, and how many units were sold.
  • the server 30 determines the base, the due date, and the number of goods for efficiently transporting the goods to the buyer according to the result of the prediction (step S2). For example, if it is predicted that 100 pieces will be sold in Okinawa in one month, and if the stock is currently 50 pieces in the Okinawa base and it is predicted that the stock will reach 10 pieces in one month, the base near Okinawa will be in stock within 3 weeks in advance. It is decided that 90 pieces should be transported to Okinawa, that is, the total number after one month should be 100 pieces.
  • the server 30 determines the cheapest transportation route according to the determined base, date, and number (step S3). For example, if 100 pieces are to be transported to Okinawa within 3 weeks, it is judged that it is cheapest to use a ship, not an airplane or a truck.
  • the server 30 provides the judgment result by transmitting the judgment result to the seller 80, the transportation company 82, the base manager 84, etc. via the network (step S4). Then, the terminals of the seller 80, the transportation company 82, and the base manager 84 that received the message are made to confirm by displaying the received determination result.
  • the server 30 may also acquire economic information, learn related data that associates transportation information, storage information, and economic information, and predict future supply and demand.
  • the economic information is, for example, stock price information, analyst information, etc., and the server 30 receives the data transmitted from the provider of the economic information to acquire the economic information.
  • the supply and demand may be predicted by estimating the number of sales from the number of shipments in consideration of the occurrence rate of exceptions. Basically, once it is sold, it will be shipped from the warehouse, so the number of sales can be estimated from the number of shipments in consideration of the exception rate.
  • the supply and demand may be predicted by estimating the number of unsold items from the number of stored items in consideration of the occurrence rate of exceptions. Basically, the unsold items are kept in the warehouse, so the number of unsold items can be estimated from the number of items stored in consideration of the exception rate.
  • the server 30 may acquire the loading / vacant status of the transportation means and add it to the determination of the cheapest transportation route.
  • the means of transportation is, for example, a truck, an airplane, a ship, a railroad, or the like.
  • the loading / vacant status is acquired by the server 30 receiving the data transmitted from the transport vehicle 10 and the transport company 82. By acquiring such a loading / vacant status and adding it to the judgment, it is possible to determine a more appropriate transportation route with the lowest charge, for example, the charge is cheaper when the loading is mixed.
  • the determination of the cheapest transportation route is updated with the latest information every time the supply and demand forecast result is changed.
  • the updated lowest-priced transportation route is provided by transmitting to the seller 80, the transportation company 82, and the base manager 84 via the network. Then, the terminals of the seller 80, the transportation company 82, and the base manager 84 that have received the updated transportation route are made to confirm by displaying the updated transportation route at the lowest price.
  • the server 30 includes a processor 32, a memory 34, a storage 36, and a communication unit 50, which are connected by a bus (not shown).
  • the processor 32 is composed of, for example, a CPU (Central Processing Unit), and performs various processes by reading and executing various programs stored in the memory 34.
  • the memory 34 stores a program to be executed by the processor 32, and is composed of, for example, a ROM (Read Only Memory) or a RAM (Random Access Memory). For example, various means shown in FIG. 3 are stored.
  • the storage 36 stores acquired data 38, related data 40, prediction data 42, decision data 44, transportation route 46, and the like.
  • the acquired data 38 includes transportation information 38A, storage information 38B, economic information 38C, loading / vacancy status 38D, and the like.
  • the communication unit 50 receives and acquires the transportation information 12 transmitted from the terminals of the transportation vehicle 10 and the transportation company 82 via the network, and receives the storage information 22 transmitted from the terminals of the warehouse 20 and the base manager 84. It is received and acquired. Of course, if necessary, other information transmitted from other providers (for example, economic information, loading availability, etc.) may be received and acquired.
  • the server 30 includes an acquisition means 60, a prediction means 62, a determination means 64, a determination means 66, a provision means 68, and an update means 70.
  • the acquisition means 60 acquires the transportation information 12 of the product being transported from the warehouse to the buyer and the storage information 22 of the product stored in the warehouse.
  • the acquisition means 60 acquires, for example, by receiving the transportation information 12 transmitted from the transportation vehicle 10 or the transportation company 82.
  • the transportation information 12 includes, for example, a product name, the number of transportations, a transportation area, a transportation date, and the like.
  • the transportation information 12 may be transmitted from the transportation company 82 and grasped from the slip information, or may be grasped by acquiring the identification information attached to the product on the loading platform of the transportation vehicle 10.
  • the input contents (slip information and the like) received by the terminal of the transportation company 82 are transmitted, and the server 30 acquires the transportation information 12 by receiving the input contents.
  • the terminal acquires the identification information attached to the product on the loading platform of the transportation vehicle 10 and transmits the identification information
  • the server 30 receives the identification information to acquire the transportation information 12 from the identification information.
  • the acquired transportation information 12 is stored as transportation information 38A in the acquired data 38 of the storage 36.
  • the acquisition means 60 acquires the storage information 22 by receiving the storage information 22.
  • the storage information 22 includes, for example, a product name and the number of storages.
  • the storage information 22 may be grasped from the slip number transmitted from the base manager 84, or may be grasped by acquiring the identification information attached to the product stored in the warehouse 20.
  • the storage information 22 is transmitted with input contents (such as a slip number) received by the terminal of the base manager 84, and the server 30 acquires the storage information 22 by receiving the input contents.
  • the terminal acquires the identification information attached to the product stored in the warehouse 20 and transmits the identification information
  • the server 30 receives the identification information to acquire the storage information 22 from the identification information.
  • the acquisition means 60 may acquire economic information.
  • the business information is, for example, stock price information, analyst information, etc., and receives data transmitted from a provider of these business information to acquire business information.
  • the acquired economic information is stored as the economic information 38C in the acquired data 38 of the storage 36.
  • the acquisition means 60 may acquire the loading / vacant status of the transportation means.
  • the means of transportation is, for example, a truck, an airplane, a ship, a railroad, or the like.
  • the loading vacancy status is acquired by receiving data transmitted from the terminals of the transportation vehicle 10 and the transportation company 82.
  • the acquired loading / vacant status is stored in the acquired data 38 of the storage 36 as the loading / vacant status 38D.
  • the prediction means 62 predicts the supply and demand of goods by learning the related data 40 that associates the transportation information 38A and the storage information 38B acquired by the acquisition means 60. For example, it is possible to predict the supply and demand of products on a monthly basis by learning which products were sold in which region, on what date, and how many units were sold. Further, when the economic information is acquired by the acquisition means 60, the related data 40 in which the transportation information, the storage information, and the economic information are associated with each other may be learned to predict the future supply and demand.
  • the prediction data 42 generated by the prediction means 62 is stored in the storage 36.
  • the forecasting means 62 may predict the supply and demand by estimating the number of sales from the number of transportations in consideration of the occurrence rate of exceptions. Basically, once it is sold, it will be shipped from the warehouse, so the number of sales can be estimated from the number of shipments in consideration of the exception rate.
  • the forecasting means 62 may predict the supply and demand by estimating the number of unsold items from the number of stored items in consideration of the occurrence rate of exceptions. Basically, the unsold items are kept in the warehouse, so the number of unsold items can be estimated from the number of items stored in consideration of the exception rate.
  • the determination means 64 determines the base, the date, and the number of goods for efficiently transporting the goods to the buyer according to the result of the prediction obtained by the prediction means 62. For example, if it is predicted that 100 pieces will be sold in Okinawa in one month, and if the stock is currently 50 pieces in the Okinawa base and it is predicted that the stock will reach 10 pieces in one month, the base near Okinawa will be in stock within 3 weeks in advance. 90 pieces should be transported to Okinawa, that is, the total number after one month should be 100 pieces.
  • the determination data 44 generated by the determination means 64 is stored in the storage 36.
  • the determination means 66 determines the cheapest transportation route according to the base, the date, and the number of units determined by the determination means 64. For example, if 100 pieces are to be transported to Okinawa within 3 weeks, it is judged that it is cheapest to use a ship, not an airplane or a truck.
  • the determination means 66 may add the loading / vacant status 38D to the determination of the cheapest transportation route.
  • the cheapest transportation route 46 generated by the determination means 66 is stored in the storage 36.
  • the providing means 68 provides the judgment result by transmitting the cheapest transportation route 46 determined by the judgment means 66 to terminals such as the seller 80, the transportation company 82, and the base manager 84 via the network. It is a thing.
  • the terminal of the seller 80, the transportation company 82, and the base manager 84 that received the judgment result is made to confirm by displaying the received judgment result. Even when the cheapest transportation route is updated by the update means 70 described later, the determination result is similarly provided.
  • the updating means 70 updates the determination of the cheapest transportation route every time the supply and demand forecast result by the forecasting means 62 is changed.
  • the updated cheapest transportation route is provided by the providing means 68 by transmitting to the terminals of the seller 80, the transportation company 82, and the base manager 84 via the network. Then, the terminals of the seller 80, the transportation company 82, and the base manager 84 that have received the updated transportation route are made to confirm by displaying the updated transportation route at the lowest price.
  • FIG. 4 is a flowchart showing an example of the cheapest transportation route determination process of the present embodiment.
  • the server 30, the transport vehicle 10, the warehouse 20, the seller 80, the transport company 82, and the terminals of the base manager 84 are connected to each other via a network including the Internet and the like so that data can communicate with each other.
  • the acquisition means 60 of the server 30 receives the transportation information 12 to acquire the transportation information 12 and at the same time.
  • the storage information 22 of the product stored in the warehouse is transmitted from the warehouse 20 or the like, the storage information 22 is acquired by receiving the storage information 22 (step S10).
  • the transportation information 12 includes, for example, a product name, the number of transportations, a transportation area, a transportation date, and the like.
  • the transportation information 12 may be transmitted from the transportation company 82 and grasped from the slip information, or may be grasped by acquiring the identification information attached to the product on the loading platform of the transportation vehicle 10.
  • the input contents (slip information and the like) received by the terminal of the transportation company 82 are transmitted, and the server 30 acquires the transportation information 12 by receiving the input contents.
  • the terminal acquires the identification information attached to the product on the loading platform of the transportation vehicle 10 and transmits the identification information
  • the server 30 receives the identification information to acquire the transportation information 12 from the identification information.
  • the acquired transportation information is stored as transportation information 38A in the acquired data 38 of the storage 36.
  • the storage information 22 includes, for example, a product name and the number of storages.
  • the storage information 22 may be grasped from, for example, the slip number transmitted from the base manager 84, or may be grasped by acquiring the identification information attached to the product stored in the warehouse 20.
  • the storage information 22 is transmitted with input contents (such as a slip number) received by the terminal of the base manager 84, and the server 30 acquires the storage information 22 by receiving the input contents.
  • the terminal acquires the identification information attached to the product stored in the warehouse 20 and transmits the identification information
  • the server 30 receives the identification information to acquire the storage information 22 from the identification information.
  • the acquired storage information is stored as storage information 38B in the acquisition data 38 of the storage 36.
  • the prediction means 62 of the server 30 learns the related data 40 that associates the acquired transportation information 38A and the storage information 38B, and predicts the supply and demand of the product (step S12). For example, it is possible to predict the supply and demand of products on a monthly basis by learning which products were sold in which region, on what date, and how many units were sold.
  • the prediction data 42 generated by the prediction means 62 is stored in the storage 36.
  • the determination means 64 of the server 30 determines the base, the due date, and the number of products in order to efficiently transport the product to the buyer according to the result of the prediction (step S14). For example, if it is predicted that 100 pieces will be sold in Okinawa in one month, and if the stock is currently 50 pieces in the Okinawa base and it is predicted that the stock will reach 10 pieces in one month, the base near Okinawa will be in stock within 3 weeks in advance. It is decided that 90 pieces should be transported to Okinawa, that is, the total number after one month should be 100 pieces.
  • the determination data 44 generated by the determination means 64 is stored in the storage 36.
  • the determination means 66 of the server 30 determines the cheapest transportation route according to the determined base, date, and number (step S16). For example, if 100 pieces are to be transported to Okinawa within 3 weeks, it is judged that it is cheapest to use a ship, not an airplane or a truck.
  • the cheapest transportation route 46 determined by the determination means 66 is stored in the storage 36.
  • the providing means 68 of the server 30 provides the judgment result by transmitting the cheapest transportation route 46 determined by the judgment means 66 to the seller 80, the transportation company 82, the base manager 84, etc. via the network. (Step S18). Then, the received determination result is confirmed by displaying it on the terminals of the seller 80, the transportation company 82, and the base manager 84.
  • the acquisition means 60 of the server 30 also acquires economic information and learns the related data 40 in which the acquired transportation information 38A, the storage information 38B, and the economic information 38C are associated with each other. You may try to forecast the supply and demand.
  • the business information is, for example, stock price information, analyst information, etc., and receives data transmitted from a provider of these business information to acquire business information.
  • the acquired economic information is stored in the storage 36 as the economic information 38C.
  • the prediction means 62 of the server 30 may predict the supply and demand by estimating the number of sales from the number of transportations in consideration of the occurrence rate of exceptions. Basically, once it is sold, it will be shipped from the warehouse, so the number of sales can be estimated from the number of shipments in consideration of the exception rate.
  • the forecasting means 62 may predict the supply and demand by estimating the number of unsold items from the number of stored items in consideration of the occurrence rate of exceptions. Basically, the unsold items are kept in the warehouse, so the number of unsold items can be estimated from the number of items stored in consideration of the exception rate.
  • the acquisition means 60 of the server 30 may acquire the loading / vacant status 38D of the transportation means and add it to the determination of the cheapest transportation route.
  • the means of transportation is, for example, a truck, an airplane, a ship, a railroad, or the like.
  • the loading / vacant status is acquired by receiving data transmitted from the transportation means or the terminal of the transportation company 82, and is stored in the storage 36 as the loading / vacant status 38D.
  • the determination of the cheapest transportation route described above is updated to the latest information every time the supply and demand forecast result is changed by the update means 70 of the server 30, and is stored in the storage 36.
  • the updated lowest-priced transportation route is provided by transmitting to the seller, 80, the transportation company 82, and the base manager 84 via the network.
  • the terminal of the seller 80, the transportation company 82, and the base manager 84 that received the updated transportation route is made to confirm by displaying the updated transportation route with the lowest price.
  • the server 30 acquires the transportation information 12 and the storage information 22, learns the related data 40 that associates the acquired transportation information with the storage information, and predicts the supply and demand of the product. Then, according to the result of the forecast, the base, the due date and the quantity are determined in order to efficiently transport the goods to the buyer, and the lowest price is determined according to the determined base, the due date and the quantity. It was decided to determine the transportation route 46 of. Therefore, it is possible to predict the supply and demand of the products stored in the warehouse, determine the cheapest transportation route, and raise the profit margin of the user.
  • the present invention may be provided as a program executed by the server 30.
  • the program may be provided as recorded on a computer-readable recording medium or may be downloaded over a network.
  • the present invention may also be provided as an invention of the method.
  • the supply and demand of goods is predicted from the transportation information transported from the warehouse to the buyer and the storage information stored in the warehouse, and the cheapest according to the base, the date and the number. Since it is decided to determine the transportation route of the toll, it is suitable as the cheapest transportation route determination system.
  • Transport vehicle 12 Transport information 20: Warehouse 22: Storage information 30: Server 32: Processor 34: Memory 36: Storage 38: Acquired data 38A: Transport information 38B: Storage information 38C: Business information 38D: Loading availability 40: Related data 42: Prediction data 44: Decision data 50: Communication unit 60: Acquisition means 62: Prediction means 64: Decision means 66: Judgment means 68: Providing means 70: Update means 80: Seller 82: Transportation company 84: Base manager 100: Cheapest transportation route judgment overall system

Abstract

In the present invention, a server acquires transportation information and storage information, learns correlation data correlating the acquired transportation information and storage information, and estimates product supply and demand. In addition, a site, date, and quantity for transporting the products efficiently to the buyer is determined according to the estimation results and a least expensive transport route is determined according to the determined site, time, and quantity. The least expensive transport route, which is the result of the determination, is supplied to the seller, the transportation company, and the site manager.

Description

最安輸送ルート判断システム、方法及びプログラムCheapest transportation route determination system, method and program
　本発明は、倉庫に保管している商品の需給を予測して、最安輸送ルートを作成する最安輸送ルート判断コンピュータ、方法及びプログラムに関する。 The present invention relates to a computer, method and program for determining the cheapest transportation route by predicting the supply and demand of goods stored in a warehouse and creating the cheapest transportation route.
　近年、物流のＩｏＴ化が進んできている。例えば、製品を複数の生産拠点で生産して複数の在庫拠点へ輸送する場合に、倉庫拠点に求められる基準在庫を充足し、かつ生産コスト、倉庫拠点の保管コスト、および輸送コストを全体で最小にすることを目的として輸送計画を立案する技術が提供されている（下記特許文献１）。 In recent years, logistics have become IoT. For example, when a product is produced at multiple production bases and transported to multiple inventory bases, the standard inventory required for the warehouse base is satisfied, and the production cost, storage cost of the warehouse base, and transportation cost are minimized as a whole. (Patent Document 1 below) is provided with a technique for formulating a transportation plan for the purpose of making a transportation plan.
特開２００９－２８６５０２号公報JP-A-2009-286502
　物流のＩｏＴ化においては、需要と供給の状況を分析して料金の最適化を予測する技術の適用が考えられる。例えば、輸送ルートの最安料金の予測への適用がある。しかしながら、特許文献１に記載の技術では、倉庫に保管している商品の需給を予測して、最安料金の輸送ルートを判断することができない。 In the IoT of logistics, it is conceivable to apply a technology that analyzes the supply and demand situation and predicts the optimization of charges. For example, there is an application to predict the lowest price of a transportation route. However, with the technique described in Patent Document 1, it is not possible to predict the supply and demand of goods stored in a warehouse and determine the cheapest transportation route.
　本発明は、以上の点に課題に鑑み、倉庫から買主に向けて輸送している輸送情報と、倉庫に保管している保管情報と、から商品の需給を予測して、拠点と期日と個数とに応じて最安料金の輸送ルートを判断する最安輸送ルート判断システム、方法及びプログラムを提供することを目的とする。 In view of the above problems, the present invention predicts the supply and demand of goods from the transportation information transported from the warehouse to the buyer and the storage information stored in the warehouse, and predicts the supply and demand of the product, the base, the date and the number. It is an object of the present invention to provide the cheapest transportation route determination system, method and program for determining the cheapest transportation route according to the above.
　本発明は、倉庫に保管している商品の需給を予測して、最安料金の輸送ルートを判断する最安輸送ルート判断コンピュータであって、倉庫から買主に向けて輸送中の商品の輸送情報と、倉庫に保管している当該商品の保管情報と、を取得する取得手段と、前記取得された輸送情報と保管情報とを関連付けた関連データを学習して、前記商品の需給を予測する予測手段と、前記予測の結果に応じて、買主に向けて前記商品を効率的に輸送するための拠点と期日と個数とを決定する決定手段と、前記決定された拠点と期日と個数とに応じて、最安料金の輸送ルートを判断する判断手段と、を備える最安輸送ルート判断システムを提供する。 The present invention is the cheapest transportation route determination computer that predicts the supply and demand of products stored in a warehouse and determines the cheapest transportation route, and transport information of the products being transported from the warehouse to the buyer. And, the storage information of the product stored in the warehouse, the acquisition means for acquiring the product, and the related data in which the acquired transportation information and the storage information are associated with each other are learned to predict the supply and demand of the product. Depending on the means, the determination means for determining the base, the date and the number of the goods for efficiently transporting the goods to the buyer according to the result of the prediction, and the determined base, the date and the number. Therefore, the cheapest transportation route determination system provided with the determination means for determining the cheapest transportation route is provided.
　また、本発明は、倉庫に保管している商品の需給を予測して、最安料金の輸送ルートを判断する最安輸送ルート判断方法であって、倉庫から買主に向けて輸送中の商品の輸送情報と、倉庫に保管している当該商品の保管情報と、を取得するステップと、前記取得された輸送情報と保管情報とを関連付けた関連データを学習して、前記商品の需給を予測するステップと、前記予測の結果に応じて、買主に向けて前記商品を効率的に輸送するための拠点と期日と個数とを決定するステップと、前記決定された拠点と期日と個数とに応じて、最安料金の輸送ルートを判断するステップと、を備える最安輸送ルート判断方法を提供する。 Further, the present invention is a method for determining the cheapest transportation route by predicting the supply and demand of the products stored in the warehouse and determining the cheapest transportation route, and is a method for determining the cheapest transportation route for the products being transported from the warehouse to the buyer. Predict the supply and demand of the product by learning the steps to acquire the transportation information, the storage information of the product stored in the warehouse, and the related data associated with the acquired transportation information and the storage information. According to the step, the step of determining the base, the due date and the number of the goods for efficiently transporting the goods to the buyer according to the result of the prediction, and the determined base, the due date and the number of goods. Provided, a step of determining the cheapest transportation route, and a method of determining the cheapest transportation route.
　更に、本発明は、コンピュータに、倉庫に保管している商品の需給を予測して、最安料金の輸送ルートを判断する最安輸送ルート判断処理を実行させるプログラムであって、倉庫から買主に向けて輸送中の商品の輸送情報と、倉庫に保管している当該商品の保管情報と、を取得するステップと、前記取得された輸送情報と保管情報とを関連付けた関連データを学習して、前記商品の需給を予測するステップと、前記予測の結果に応じて、買主に向けて前記商品を効率的に輸送するための拠点と期日と個数とを決定するステップと、前記決定された拠点と期日と個数とに応じて、最安料金の輸送ルートを判断するステップと、を実行させるためのプログラムを提供する。 Further, the present invention is a program that causes a computer to perform a process of determining the cheapest transportation route by predicting the supply and demand of goods stored in the warehouse and determining the transportation route of the lowest price, from the warehouse to the buyer. By learning the steps to acquire the transportation information of the goods being transported to and the storage information of the goods stored in the warehouse, and the related data relating the acquired transportation information and the storage information, A step of predicting the supply and demand of the product, a step of determining a base, a date and a quantity for efficiently transporting the product to the buyer according to the result of the prediction, and the determined base. It provides a step to determine the cheapest transportation route according to the due date and the number of items, and a program to execute.
　本発明によれば、倉庫から買主に向けて輸送している輸送情報と、倉庫に保管している保管情報と、から商品の需給を予測して、拠点と期日と個数とに応じて最安料金の輸送ルートを判断することとした。このため、倉庫に保管している商品の需給を予測して、最安料金の輸送ルートを判断し、ユーザの利益率を上げることができる。 According to the present invention, the supply and demand of goods is predicted from the transportation information transported from the warehouse to the buyer and the storage information stored in the warehouse, and the cheapest according to the base, the date and the number. It was decided to determine the transportation route for the toll. Therefore, it is possible to predict the supply and demand of the products stored in the warehouse, determine the cheapest transportation route, and raise the profit margin of the user.
本発明の一実施形態の最安輸送ルート判断全体システムの概要を示す概念図である。It is a conceptual diagram which shows the outline of the cheapest transportation route determination whole system of one Embodiment of this invention. 前記実施形態のサーバのハードウェア構成を示すブロック図である。It is a block diagram which shows the hardware configuration of the server of the said embodiment. 前記実施形態のサーバの機能構成を示すブロック図である。It is a block diagram which shows the functional structure of the server of the said embodiment. 前記実施形態の最安輸送ルート判断処理の一例を示すフローチャートである。It is a flowchart which shows an example of the cheapest transportation route determination processing of the said embodiment.
　本発明は、倉庫から買主に向けて輸送している輸送情報と、倉庫に保管している保管情報と、から商品の需給を予測して、拠点と期日と個数とに応じて最安料金の輸送ルートを判断する技術であり、ユーザの利益率を上げるものである。 The present invention predicts the supply and demand of goods from the transportation information transported from the warehouse to the buyer and the storage information stored in the warehouse, and the lowest price is obtained according to the base, the due date, and the number of products. It is a technology for determining the transportation route and raises the profit margin of the user.
　＜全体構成＞
　図１は、本実施形態に係る最安輸送ルート判断全体システム（以下「全体システム」とする）１００の概要を示す図である。全体システム１００は、サーバ３０を中心に構成されており、サーバ３０と、輸送車両１０の端末、倉庫２０の端末、売主８０の端末、輸送会社８２の端末、拠点管理者８４の端末は、インターネットなどの図示しないネットワークによって相互にデータ通信可能に接続されている。このほか、買主の端末とデータ通信可能に接続されていてもよい。サーバ３０は、単体のコンピュータであってよく、例えば、端末であってもよい。また、各構成がそれぞれ異なるコンピュータで実行されるコンピュータシステム（クラウド）であってよい。 <Overall configuration>
FIG. 1 is a diagram showing an outline of the cheapest transportation route determination overall system (hereinafter referred to as “overall system”) 100 according to the present embodiment. The entire system 100 is configured around the server 30, and the server 30, the terminal of the transportation vehicle 10, the terminal of the warehouse 20, the terminal of the seller 80, the terminal of the transportation company 82, and the terminal of the base manager 84 are connected to the Internet. They are connected to each other so that they can communicate with each other by a network (not shown) such as. In addition, it may be connected to the buyer's terminal so that data communication is possible. The server 30 may be a single computer, for example, a terminal. Further, each configuration may be a computer system (cloud) executed by a different computer.
　サーバ３０は、倉庫２０から買主に向けて輸送中の商品の輸送情報１２が、例えば、輸送車両１０から送信されると、当該輸送情報１２を受信することで、輸送情報１２を取得する（ステップＳＡ）。輸送情報１２は、例えば、空輸、海運、陸運における輸送手段から、輸送中に提供される輸送情報であり、商品名、輸送数、輸送地域、輸送期日などを含むものである。輸送情報１２は、輸送会社８２から送信された伝票情報から把握してもよいが、輸送車両１０の荷台の商品に取り付けられた識別情報を取得して把握してもよい。具体的には、輸送会社８２の端末が受け付けた入力内容（伝票情報など）が送信され、当該入力内容を受信することで、サーバ３０が輸送情報１２を取得する。あるいは、輸送車両１０の荷台の商品に取り付けられた識別情報を端末が取得して当該識別情報を送信し、識別情報をサーバ３０が受信することで識別情報から輸送情報１２を取得する。 When the transportation information 12 of the goods being transported from the warehouse 20 to the buyer is transmitted from the transportation vehicle 10, for example, the server 30 acquires the transportation information 12 by receiving the transportation information 12 (step). SA). The transportation information 12 is transportation information provided during transportation from, for example, a transportation means in air transportation, sea transportation, and land transportation, and includes a product name, a number of transportations, a transportation area, a transportation date, and the like. The transportation information 12 may be grasped from the slip information transmitted from the transportation company 82, or may be grasped by acquiring the identification information attached to the product on the loading platform of the transportation vehicle 10. Specifically, the input contents (slip information and the like) received by the terminal of the transportation company 82 are transmitted, and the server 30 acquires the transportation information 12 by receiving the input contents. Alternatively, the terminal acquires the identification information attached to the product on the loading platform of the transportation vehicle 10 and transmits the identification information, and the server 30 receives the identification information to acquire the transportation information 12 from the identification information.
　また、サーバ３０は、倉庫に保管している商品の保管情報２２が、倉庫２０などから送信されると、当該保管情報２２を受信することで、保管情報２２を取得する（ステップＳＢ）。保管情報２２は、例えば、商品名や保管数を含む。保管情報２２は、拠点管理者８４から送信される伝票番号から把握してもよいが、倉庫２０に保管中の商品に取り付けられた識別情報を取得して把握してもよい。具体的には、保管情報２２は、拠点管理者８４の端末が受け付けた入力内容（伝票番号など）が送信され、当該入力内容を受信することで、サーバ３０が保管情報２２を取得する。あるいは、倉庫２０に保管中の商品に取り付けられた識別情報を端末が取得して当該識別情報を送信し、識別情報をサーバ３０が受信することで識別情報から保管情報２２を取得する。 Further, when the storage information 22 of the product stored in the warehouse is transmitted from the warehouse 20 or the like, the server 30 acquires the storage information 22 by receiving the storage information 22 (step SB). The storage information 22 includes, for example, a product name and the number of storages. The storage information 22 may be grasped from the slip number transmitted from the base manager 84, or may be grasped by acquiring the identification information attached to the product stored in the warehouse 20. Specifically, the storage information 22 is transmitted with input contents (such as a slip number) received by the terminal of the base manager 84, and the server 30 acquires the storage information 22 by receiving the input contents. Alternatively, the terminal acquires the identification information attached to the product stored in the warehouse 20 and transmits the identification information, and the server 30 receives the identification information to acquire the storage information 22 from the identification information.
　サーバ３０は、取得された輸送情報１２と保管情報２２とを関連付けた関連データを学習して、商品の需給を予測する（ステップＳ１）。例えば、どの商品が、どの地域で、どの期日で、何個売れたか、などを学習して、月次単位の商品需給を予測するなどである。 The server 30 learns the related data in which the acquired transportation information 12 and the storage information 22 are associated with each other, and predicts the supply and demand of the product (step S1). For example, it is possible to predict the supply and demand of products on a monthly basis by learning which products were sold in which region, on what date, and how many units were sold.
　次に、サーバ３０は、予測の結果に応じて、買主に向けて商品を効率的に輸送するための、拠点と期日と個数とを決定する（ステップＳ２）。例えば、１ヶ月後に沖縄で１００個売れると予測し、かつ、現時点で沖縄拠点に在庫５０個があって、１ヶ月後に在庫１０個になると予測されれば、予め沖縄に近い拠点に３週間以内に９０個を輸送しておく、すなわち、１ヶ月後の合計を１００個にできればよい、という具合に決定する。 Next, the server 30 determines the base, the due date, and the number of goods for efficiently transporting the goods to the buyer according to the result of the prediction (step S2). For example, if it is predicted that 100 pieces will be sold in Okinawa in one month, and if the stock is currently 50 pieces in the Okinawa base and it is predicted that the stock will reach 10 pieces in one month, the base near Okinawa will be in stock within 3 weeks in advance. It is decided that 90 pieces should be transported to Okinawa, that is, the total number after one month should be 100 pieces.
　サーバ３０は、決定された拠点と期日と個数とに応じて、最安料金の輸送ルートを判断する（ステップＳ３）。例えば、沖縄に３週間以内に１００個を輸送するならば、飛行機ではなく、トラックでもなく、船を利用するのが最安であると判断するという具合である。 The server 30 determines the cheapest transportation route according to the determined base, date, and number (step S3). For example, if 100 pieces are to be transported to Okinawa within 3 weeks, it is judged that it is cheapest to use a ship, not an airplane or a truck.
　サーバ３０は、判断した結果を、売主８０、輸送会社８２、拠点管理者８４などにネットワークを介して送信することで、判断結果を提供する（ステップＳ４）。そして、受信した売主８０、輸送会社８２、拠点管理者８４の端末に、受信した判断結果を表示させることで確認させる。 The server 30 provides the judgment result by transmitting the judgment result to the seller 80, the transportation company 82, the base manager 84, etc. via the network (step S4). Then, the terminals of the seller 80, the transportation company 82, and the base manager 84 that received the message are made to confirm by displaying the received determination result.
　なお、サーバ３０は、景気情報も取得して、輸送情報と保管情報と景気情報とを関連付けた関連データを学習して、今後の需給を予測するようにしてもよい。景気情報とは、例えば、株価情報やアナリスト情報などであって、これらの景気情報の提供元から送信されたデータをサーバ３０が受信することで、景気情報を取得する。 Note that the server 30 may also acquire economic information, learn related data that associates transportation information, storage information, and economic information, and predict future supply and demand. The economic information is, for example, stock price information, analyst information, etc., and the server 30 receives the data transmitted from the provider of the economic information to acquire the economic information.
　また、例外の発生率を考慮して、輸送数から販売数を推測して需給を予測してもよい。基本的には、販売されたら倉庫から輸送になるため、例外の発生率を考慮して輸送数から販売数を推測できる。あるいは、例外の発生率を考慮して、保管数から売れ残り数を推測して、需給を予測してもよい。基本的には、売れ残りは倉庫に保管されたままになるため、例外の発生率を考慮して保管数から売れ残り数を推測できる。 In addition, the supply and demand may be predicted by estimating the number of sales from the number of shipments in consideration of the occurrence rate of exceptions. Basically, once it is sold, it will be shipped from the warehouse, so the number of sales can be estimated from the number of shipments in consideration of the exception rate. Alternatively, the supply and demand may be predicted by estimating the number of unsold items from the number of stored items in consideration of the occurrence rate of exceptions. Basically, the unsold items are kept in the warehouse, so the number of unsold items can be estimated from the number of items stored in consideration of the exception rate.
　更に、サーバ３０は、輸送手段の積載空き状況を取得して、最安料金の輸送ルートの判断に加えるようにしてもよい。輸送手段とは、例えば、トラック、飛行機、船、鉄道などである。積載空き状況は、輸送車両１０や、輸送会社８２から送信されたデータをサーバ３０が受信することで取得される。このような積載空き状況を取得して判断に加味することで、例えば、混載した方が料金が安くなる、という具合に、より適切な最安料金の輸送ルート判断を行うことができる。 Further, the server 30 may acquire the loading / vacant status of the transportation means and add it to the determination of the cheapest transportation route. The means of transportation is, for example, a truck, an airplane, a ship, a railroad, or the like. The loading / vacant status is acquired by the server 30 receiving the data transmitted from the transport vehicle 10 and the transport company 82. By acquiring such a loading / vacant status and adding it to the judgment, it is possible to determine a more appropriate transportation route with the lowest charge, for example, the charge is cheaper when the loading is mixed.
　なお、このような最安料金の輸送ルートの判断は、需給の予測結果が変更される度に最新の情報に更新される。更新された最安料金の輸送ルートは、ネットワークを介して売主８０、輸送会社８２、拠点管理者８４に送信することで提供される。そして、更新された輸送ルートを受信した売主８０、輸送会社８２、拠点管理者８４の端末に、更新された最安料金の輸送ルートを表示させることで確認させる。 The determination of the cheapest transportation route is updated with the latest information every time the supply and demand forecast result is changed. The updated lowest-priced transportation route is provided by transmitting to the seller 80, the transportation company 82, and the base manager 84 via the network. Then, the terminals of the seller 80, the transportation company 82, and the base manager 84 that have received the updated transportation route are made to confirm by displaying the updated transportation route at the lowest price.
　＜サーバのハードウェア構成＞
　次に、図２を参照して、サーバ３０のハードウェア構成を説明する。サーバ３０は、プロセッサ３２、メモリ３４、ストレージ３６、通信部５０を備え、これらは図示しないバスにより接続されている。プロセッサ３２は、例えば、ＣＰＵ（Central　Processing　Unit）により構成され、メモリ３４に記憶された各種プログラムを読み出して実行することで、各種処理を行う。前記メモリ３４は、プロセッサ３２により実行させるプログラムを記憶するものであり、例えば、ＲＯＭ（Read　Only　Memory）やＲＡＭ（Random　Access　Memory）により構成される。例えば、図３に示す各種手段が記憶されている。 <Server hardware configuration>
Next, the hardware configuration of the server 30 will be described with reference to FIG. The server 30 includes a processor 32, a memory 34, a storage 36, and a communication unit 50, which are connected by a bus (not shown). The processor 32 is composed of, for example, a CPU (Central Processing Unit), and performs various processes by reading and executing various programs stored in the memory 34. The memory 34 stores a program to be executed by the processor 32, and is composed of, for example, a ROM (Read Only Memory) or a RAM (Random Access Memory). For example, various means shown in FIG. 3 are stored.
　ストレージ３６は、取得データ３８、関連データ４０、予測データ４２、決定データ４４、輸送ルート４６などを記憶するものである。前記取得データ３８には、輸送情報３８Ａ、保管情報３８Ｂ、景気情報３８Ｃ、積載空き状況３８Ｄなどが含まれる。 The storage 36 stores acquired data 38, related data 40, prediction data 42, decision data 44, transportation route 46, and the like. The acquired data 38 includes transportation information 38A, storage information 38B, economic information 38C, loading / vacancy status 38D, and the like.
　通信部５０は、ネットワークを介して、輸送車両１０や輸送会社８２の端末から送信された輸送情報１２を受信して取得し、倉庫２０や拠点管理者８４の端末から送信された保管情報２２を受信して取得するものである。むろん、必要に応じて、他の提供元から送信される他の情報（例えば、景気情報や積載空き状況など）を受信して取得してもよい。 The communication unit 50 receives and acquires the transportation information 12 transmitted from the terminals of the transportation vehicle 10 and the transportation company 82 via the network, and receives the storage information 22 transmitted from the terminals of the warehouse 20 and the base manager 84. It is received and acquired. Of course, if necessary, other information transmitted from other providers (for example, economic information, loading availability, etc.) may be received and acquired.
　＜サーバの機能構成＞
　次に、図３を参照して、サーバ３０の機能構成を説明する。サーバ３０は、取得手段６０と、予測手段６２と、決定手段６４と、判断手段６６と、提供手段６８と、更新手段７０を備えている。 <Server function configuration>
Next, the functional configuration of the server 30 will be described with reference to FIG. The server 30 includes an acquisition means 60, a prediction means 62, a determination means 64, a determination means 66, a provision means 68, and an update means 70.
　取得手段６０は、倉庫から買主に向けて輸送中の商品の輸送情報１２や、倉庫に保管している当該商品の保管情報２２を取得するものである。取得手段６０は、例えば、輸送車両１０や輸送会社８２から送信された輸送情報１２を受信することで取得する。輸送情報１２は、例えば、商品名、輸送数、輸送地域、輸送期日などを含むものである。輸送情報１２は、輸送会社８２から送信され伝票情報から把握してもよいが、輸送車両１０の荷台の商品に取り付けられた識別情報を取得して把握してもよい。具体的には、輸送会社８２の端末が受け付けた入力内容（伝票情報など）が送信され、当該入力内容を受信することで、サーバ３０が輸送情報１２を取得する。あるいは、輸送車両１０の荷台の商品に取り付けられた識別情報を端末が取得して当該識別情報を送信し、識別情報をサーバ３０が受信することで識別情報から輸送情報１２を取得する。取得した輸送情報１２は、ストレージ３６の取得データ３８に輸送情報３８Ａとして記憶される。 The acquisition means 60 acquires the transportation information 12 of the product being transported from the warehouse to the buyer and the storage information 22 of the product stored in the warehouse. The acquisition means 60 acquires, for example, by receiving the transportation information 12 transmitted from the transportation vehicle 10 or the transportation company 82. The transportation information 12 includes, for example, a product name, the number of transportations, a transportation area, a transportation date, and the like. The transportation information 12 may be transmitted from the transportation company 82 and grasped from the slip information, or may be grasped by acquiring the identification information attached to the product on the loading platform of the transportation vehicle 10. Specifically, the input contents (slip information and the like) received by the terminal of the transportation company 82 are transmitted, and the server 30 acquires the transportation information 12 by receiving the input contents. Alternatively, the terminal acquires the identification information attached to the product on the loading platform of the transportation vehicle 10 and transmits the identification information, and the server 30 receives the identification information to acquire the transportation information 12 from the identification information. The acquired transportation information 12 is stored as transportation information 38A in the acquired data 38 of the storage 36.
　また、取得手段６０は、倉庫に保管している商品の保管情報２２が、倉庫２０などから送信されると、当該保管情報２２を受信することで、保管情報２２を取得する。保管情報２２は、例えば、商品名や保管数を含む。保管情報２２は、拠点管理者８４から送信される伝票番号から把握してもよいが、倉庫２０に保管中の商品に取り付けられた識別情報を取得して把握してもよい。具体的には、保管情報２２は、拠点管理者８４の端末が受け付けた入力内容（伝票番号など）が送信され、当該入力内容を受信することで、サーバ３０が保管情報２２を取得する。あるいは、倉庫２０に保管中の商品に取り付けられた識別情報を端末が取得して当該識別情報を送信し、識別情報をサーバ３０が受信することで識別情報から保管情報２２を取得する。 Further, when the storage information 22 of the product stored in the warehouse is transmitted from the warehouse 20 or the like, the acquisition means 60 acquires the storage information 22 by receiving the storage information 22. The storage information 22 includes, for example, a product name and the number of storages. The storage information 22 may be grasped from the slip number transmitted from the base manager 84, or may be grasped by acquiring the identification information attached to the product stored in the warehouse 20. Specifically, the storage information 22 is transmitted with input contents (such as a slip number) received by the terminal of the base manager 84, and the server 30 acquires the storage information 22 by receiving the input contents. Alternatively, the terminal acquires the identification information attached to the product stored in the warehouse 20 and transmits the identification information, and the server 30 receives the identification information to acquire the storage information 22 from the identification information.
　このほか、取得手段６０は、景気情報を取得してもよい。景気情報とは、例えば、株価情報やアナリスト情報などであって、これらの景気情報の提供元から送信されたデータを受信し、景気情報を取得する。取得した景気情報は、ストレージ３６の取得データ３８に、景気情報３８Ｃとして記憶される。 In addition, the acquisition means 60 may acquire economic information. The business information is, for example, stock price information, analyst information, etc., and receives data transmitted from a provider of these business information to acquire business information. The acquired economic information is stored as the economic information 38C in the acquired data 38 of the storage 36.
　さらに、取得手段６０は、輸送手段の積載空き状況を取得してもよい。輸送手段とは、例えば、トラック、飛行機、船、鉄道などである。積載空き状況は、輸送車両１０や輸送会社８２の端末から送信されたデータを受信することで取得される。取得した積載空き状況は、ストレージ３６の取得データ３８に積載空き状況３８Ｄとして記憶される。 Further, the acquisition means 60 may acquire the loading / vacant status of the transportation means. The means of transportation is, for example, a truck, an airplane, a ship, a railroad, or the like. The loading vacancy status is acquired by receiving data transmitted from the terminals of the transportation vehicle 10 and the transportation company 82. The acquired loading / vacant status is stored in the acquired data 38 of the storage 36 as the loading / vacant status 38D.
　予測手段６２は、取得手段６０によって取得された輸送情報３８Ａと保管情報３８Ｂとを関連付けた関連データ４０を学習して、商品の需給を予測するものである。例えば、どの商品が、どの地域で、どの期日で、何個売れたか、などを学習して、月次単位の商品需給を予測する。また、取得手段６０によって景気情報を取得した場合には、輸送情報と保管情報と景気情報とを関連付けた関連データ４０を学習して、今後の需給を予測するようにしてもよい。予測手段６２によって生成された予測データ４２は、ストレージ３６に記憶される。 The prediction means 62 predicts the supply and demand of goods by learning the related data 40 that associates the transportation information 38A and the storage information 38B acquired by the acquisition means 60. For example, it is possible to predict the supply and demand of products on a monthly basis by learning which products were sold in which region, on what date, and how many units were sold. Further, when the economic information is acquired by the acquisition means 60, the related data 40 in which the transportation information, the storage information, and the economic information are associated with each other may be learned to predict the future supply and demand. The prediction data 42 generated by the prediction means 62 is stored in the storage 36.
　また、予測手段６２は、例外の発生率を考慮して、輸送数から販売数を推測して需給を予測してもよい。基本的には、販売されたら倉庫から輸送になるため、例外の発生率を考慮して輸送数から販売数を推測できる。あるいは、予測手段６２は、例外の発生率を考慮して、保管数から売れ残り数を推測して、需給を予測してもよい。基本的には、売れ残りは倉庫に保管されたままになるため、例外の発生率を考慮して保管数から売れ残り数を推測できる。 Further, the forecasting means 62 may predict the supply and demand by estimating the number of sales from the number of transportations in consideration of the occurrence rate of exceptions. Basically, once it is sold, it will be shipped from the warehouse, so the number of sales can be estimated from the number of shipments in consideration of the exception rate. Alternatively, the forecasting means 62 may predict the supply and demand by estimating the number of unsold items from the number of stored items in consideration of the occurrence rate of exceptions. Basically, the unsold items are kept in the warehouse, so the number of unsold items can be estimated from the number of items stored in consideration of the exception rate.
　決定手段６４は、前記予測手段６２により得られた予測の結果に応じて、買主に向けて商品を効率的に輸送するための、拠点と期日と個数とを決定するものである。例えば、１ヶ月後に沖縄で１００個売れると予測し、かつ、現時点で沖縄拠点に在庫５０個があって、１ヶ月後に在庫１０個になると予測されれば、予め沖縄に近い拠点に３週間以内に９０個を輸送しておく、すなわち、１ヶ月後の合計を１００個にできればよい、という具合である。決定手段６４により生成された決定データ４４は、ストレージ３６に記憶される。 The determination means 64 determines the base, the date, and the number of goods for efficiently transporting the goods to the buyer according to the result of the prediction obtained by the prediction means 62. For example, if it is predicted that 100 pieces will be sold in Okinawa in one month, and if the stock is currently 50 pieces in the Okinawa base and it is predicted that the stock will reach 10 pieces in one month, the base near Okinawa will be in stock within 3 weeks in advance. 90 pieces should be transported to Okinawa, that is, the total number after one month should be 100 pieces. The determination data 44 generated by the determination means 64 is stored in the storage 36.
　判断手段６６は、前記決定手段６４によって決定された拠点と期日と個数とに応じて、最安料金の輸送ルートを判断するものである。例えば、沖縄に３週間以内に１００個を輸送するならば、飛行機ではなく、トラックでもなく、船を利用するのが最安であると判断するという具合である。 The determination means 66 determines the cheapest transportation route according to the base, the date, and the number of units determined by the determination means 64. For example, if 100 pieces are to be transported to Okinawa within 3 weeks, it is judged that it is cheapest to use a ship, not an airplane or a truck.
　また、判断手段６６は、前記取得手段６０によって輸送手段の積載空き状況３８Ｄを取得した場合には、積載空き状況３８Ｄを最安料金の輸送ルートの判断に加えるようにしてもよい。積載空き状況３８Ｄを取得して判断に加味することで、例えば、混載した方が料金が安くなる、という具合に、より適切な最安料金の輸送ルート判断を行うことができる。判断手段６６により生成された最安料金の輸送ルート４６は、ストレージ３６に記憶される。 Further, when the determination means 66 acquires the loading / vacant status 38D of the transportation means by the acquisition means 60, the determining means 66 may add the loading / vacant status 38D to the determination of the cheapest transportation route. By acquiring the loading / vacant status 38D and adding it to the judgment, it is possible to determine a more appropriate transportation route with the lowest charge, for example, the charge is cheaper when the loading is mixed. The cheapest transportation route 46 generated by the determination means 66 is stored in the storage 36.
　提供手段６８は、判断手段６６により判断された最安料金の輸送ルート４６を、売主８０、輸送会社８２、拠点管理者８４などの端末にネットワークを介して送信することで、判断結果を提供するものである。判断結果を受信した売主８０、輸送会社８２、拠点管理者８４の端末に、受信した判断結果を表示させることで確認させる。後述する更新手段７０によって、最安料金の輸送ルートが更新された場合にも、同様に判断結果を提供する。 The providing means 68 provides the judgment result by transmitting the cheapest transportation route 46 determined by the judgment means 66 to terminals such as the seller 80, the transportation company 82, and the base manager 84 via the network. It is a thing. The terminal of the seller 80, the transportation company 82, and the base manager 84 that received the judgment result is made to confirm by displaying the received judgment result. Even when the cheapest transportation route is updated by the update means 70 described later, the determination result is similarly provided.
　更新手段７０は、前記予測手段６２による需給の予測結果が変更される度に、最安料金の輸送ルートの判断を更新するものである。更新された最安料金の輸送ルートは、前記提供手段６８によって、ネットワークを介して売主８０、輸送会社８２、拠点管理者８４の端末に送信することで提供される。そして、更新された輸送ルートを受信した売主８０、輸送会社８２、拠点管理者８４の端末に、更新された最安料金の輸送ルートを表示させることで確認させる。 The updating means 70 updates the determination of the cheapest transportation route every time the supply and demand forecast result by the forecasting means 62 is changed. The updated cheapest transportation route is provided by the providing means 68 by transmitting to the terminals of the seller 80, the transportation company 82, and the base manager 84 via the network. Then, the terminals of the seller 80, the transportation company 82, and the base manager 84 that have received the updated transportation route are made to confirm by displaying the updated transportation route at the lowest price.
　＜最安輸送ルート判断処理＞
　次に、本全体システム１００の最安輸送ルート判断処理の一例について、図４を参照して説明する。図４は、本実施形態の最安輸送ルート判断処理の一例を示すフローチャートである。なお、サーバ３０と、輸送車両１０、倉庫２０、売主８０、輸送会社８２、拠点管理者８４の端末は、インターネットなどを含むネットワークによって互いにデータ通信可能に接続されている。 <Cheapest transportation route judgment processing>
Next, an example of the cheapest transportation route determination process of the entire system 100 will be described with reference to FIG. FIG. 4 is a flowchart showing an example of the cheapest transportation route determination process of the present embodiment. The server 30, the transport vehicle 10, the warehouse 20, the seller 80, the transport company 82, and the terminals of the base manager 84 are connected to each other via a network including the Internet and the like so that data can communicate with each other.
　サーバ３０の取得手段６０は、倉庫から買主に向けて輸送中の商品の輸送情報１２が、輸送車両１０から送信されると、当該輸送情報１２を受信することで、輸送情報１２を取得するとともに、倉庫に保管している商品の保管情報２２が、倉庫２０などから送信されると、当該保管情報２２を受信することで、保管情報２２を取得する（ステップＳ１０）。 When the transportation information 12 of the goods being transported from the warehouse to the buyer is transmitted from the transportation vehicle 10, the acquisition means 60 of the server 30 receives the transportation information 12 to acquire the transportation information 12 and at the same time. When the storage information 22 of the product stored in the warehouse is transmitted from the warehouse 20 or the like, the storage information 22 is acquired by receiving the storage information 22 (step S10).
　輸送情報１２は、例えば、商品名、輸送数、輸送地域、輸送期日などを含むものである。輸送情報１２は、輸送会社８２から送信され伝票情報から把握してもよいが、輸送車両１０の荷台の商品に取り付けられた識別情報を取得して把握してもよい。具体的には、輸送会社８２の端末が受け付けた入力内容（伝票情報など）が送信され、当該入力内容を受信することで、サーバ３０が輸送情報１２を取得する。あるいは、輸送車両１０の荷台の商品に取り付けられた識別情報を端末が取得して当該識別情報を送信し、識別情報をサーバ３０が受信することで識別情報から輸送情報１２を取得する。取得された輸送情報は、ストレージ３６の取得データ３８に、輸送情報３８Ａとして記憶される。 The transportation information 12 includes, for example, a product name, the number of transportations, a transportation area, a transportation date, and the like. The transportation information 12 may be transmitted from the transportation company 82 and grasped from the slip information, or may be grasped by acquiring the identification information attached to the product on the loading platform of the transportation vehicle 10. Specifically, the input contents (slip information and the like) received by the terminal of the transportation company 82 are transmitted, and the server 30 acquires the transportation information 12 by receiving the input contents. Alternatively, the terminal acquires the identification information attached to the product on the loading platform of the transportation vehicle 10 and transmits the identification information, and the server 30 receives the identification information to acquire the transportation information 12 from the identification information. The acquired transportation information is stored as transportation information 38A in the acquired data 38 of the storage 36.
　保管情報２２は、例えば、商品名や保管数を含む。保管情報２２は、例えば、拠点管理者８４から送信される伝票番号から把握してもよいが、倉庫２０に保管中の商品の取り付けられた識別情報を取得して把握してもよい。具体的には、保管情報２２は、拠点管理者８４の端末が受け付けた入力内容（伝票番号など）が送信され、当該入力内容を受信することで、サーバ３０が保管情報２２を取得する。あるいは、倉庫２０に保管中の商品に取り付けられた識別情報を端末が取得して当該識別情報を送信し、識別情報をサーバ３０が受信することで識別情報から保管情報２２を取得する。取得された保管情報は、ストレージ３６の取得データ３８に、保管情報３８Ｂとして記憶される。 The storage information 22 includes, for example, a product name and the number of storages. The storage information 22 may be grasped from, for example, the slip number transmitted from the base manager 84, or may be grasped by acquiring the identification information attached to the product stored in the warehouse 20. Specifically, the storage information 22 is transmitted with input contents (such as a slip number) received by the terminal of the base manager 84, and the server 30 acquires the storage information 22 by receiving the input contents. Alternatively, the terminal acquires the identification information attached to the product stored in the warehouse 20 and transmits the identification information, and the server 30 receives the identification information to acquire the storage information 22 from the identification information. The acquired storage information is stored as storage information 38B in the acquisition data 38 of the storage 36.
　次に、サーバ３０の予測手段６２は、取得された輸送情報３８Ａと保管情報３８Ｂとを関連付けた関連データ４０を学習して、商品の需給を予測する（ステップＳ１２）。例えば、どの商品が、どの地域で、どの期日で、何個売れたか、などを学習して、月次単位の商品需給を予測するなどである。予測手段６２により生成された予測データ４２は、ストレージ３６に記憶される。 Next, the prediction means 62 of the server 30 learns the related data 40 that associates the acquired transportation information 38A and the storage information 38B, and predicts the supply and demand of the product (step S12). For example, it is possible to predict the supply and demand of products on a monthly basis by learning which products were sold in which region, on what date, and how many units were sold. The prediction data 42 generated by the prediction means 62 is stored in the storage 36.
　次に、サーバ３０の決定手段６４は、予測の結果に応じて、買主に向けて商品を効率的に輸送するための、拠点と期日と個数とを決定する（ステップＳ１４）。例えば、１ヶ月後に沖縄で１００個売れると予測し、かつ、現時点で沖縄拠点に在庫５０個があって、１ヶ月後に在庫１０個になると予測されれば、予め沖縄に近い拠点に３週間以内に９０個を輸送しておく、すなわち、１ヶ月後の合計を１００個にできればよい、という具合に決定する。決定手段６４により生成された決定データ４４は、ストレージ３６に記憶される。 Next, the determination means 64 of the server 30 determines the base, the due date, and the number of products in order to efficiently transport the product to the buyer according to the result of the prediction (step S14). For example, if it is predicted that 100 pieces will be sold in Okinawa in one month, and if the stock is currently 50 pieces in the Okinawa base and it is predicted that the stock will reach 10 pieces in one month, the base near Okinawa will be in stock within 3 weeks in advance. It is decided that 90 pieces should be transported to Okinawa, that is, the total number after one month should be 100 pieces. The determination data 44 generated by the determination means 64 is stored in the storage 36.
　サーバ３０の判断手段６６は、決定された拠点と期日と個数とに応じて、最安料金の輸送ルートを判断する（ステップＳ１６）。例えば、沖縄に３週間以内に１００個を輸送するならば、飛行機ではなく、トラックでもなく、船を利用するのが最安であると判断するという具合である。判断手段６６により判断された最安料金の輸送ルート４６は、ストレージ３６に記憶される。 The determination means 66 of the server 30 determines the cheapest transportation route according to the determined base, date, and number (step S16). For example, if 100 pieces are to be transported to Okinawa within 3 weeks, it is judged that it is cheapest to use a ship, not an airplane or a truck. The cheapest transportation route 46 determined by the determination means 66 is stored in the storage 36.
　サーバ３０の提供手段６８は、判断手段６６により判断された最安料金の輸送ルート４６を、売主８０、輸送会社８２、拠点管理者８４などにネットワークを介して送信することで、判断結果を提供する（ステップＳ１８）。そして、受信した判断結果を、売主８０、輸送会社８２、拠点管理者８４の端末に表示させることで確認させる。 The providing means 68 of the server 30 provides the judgment result by transmitting the cheapest transportation route 46 determined by the judgment means 66 to the seller 80, the transportation company 82, the base manager 84, etc. via the network. (Step S18). Then, the received determination result is confirmed by displaying it on the terminals of the seller 80, the transportation company 82, and the base manager 84.
　なお、上述した実施形態において、サーバ３０の取得手段６０は、景気情報も取得して、取得した輸送情報３８Ａと保管情報３８Ｂと景気情報３８Ｃとを関連付けた関連データ４０を学習して、今後の需給を予測するようにしてもよい。景気情報とは、例えば、株価情報やアナリスト情報などであって、これらの景気情報の提供元から送信されたデータを受信し、景気情報を取得する。取得した景気情報は、ストレージ３６に景気情報３８Ｃとして記憶される。 In the above-described embodiment, the acquisition means 60 of the server 30 also acquires economic information and learns the related data 40 in which the acquired transportation information 38A, the storage information 38B, and the economic information 38C are associated with each other. You may try to forecast the supply and demand. The business information is, for example, stock price information, analyst information, etc., and receives data transmitted from a provider of these business information to acquire business information. The acquired economic information is stored in the storage 36 as the economic information 38C.
　また、上述した実施形態において、サーバ３０の予測手段６２は、例外の発生率を考慮して、輸送数から販売数を推測して需給を予測してもよい。基本的には、販売されたら倉庫から輸送になるため、例外の発生率を考慮して輸送数から販売数を推測できる。あるいは、予測手段６２は、例外の発生率を考慮して、保管数から売れ残り数を推測して、需給を予測してもよい。基本的には、売れ残りは倉庫に保管されたままになるため、例外の発生率を考慮して保管数から売れ残り数を推測できる。 Further, in the above-described embodiment, the prediction means 62 of the server 30 may predict the supply and demand by estimating the number of sales from the number of transportations in consideration of the occurrence rate of exceptions. Basically, once it is sold, it will be shipped from the warehouse, so the number of sales can be estimated from the number of shipments in consideration of the exception rate. Alternatively, the forecasting means 62 may predict the supply and demand by estimating the number of unsold items from the number of stored items in consideration of the occurrence rate of exceptions. Basically, the unsold items are kept in the warehouse, so the number of unsold items can be estimated from the number of items stored in consideration of the exception rate.
　更に、上述した実施形態において、サーバ３０の取得手段６０は、輸送手段の積載空き状況３８Ｄを取得して、最安料金の輸送ルートの判断に加えるようにしてもよい。輸送手段とは、例えば、トラック、飛行機、船、鉄道などである。積載空き状況は、輸送手段や、輸送会社８２の端末から送信されたデータを受信することで取得され、ストレージ３６に積載空き状況３８Ｄとして記憶される。積載空き状況３８Ｄを取得して判断に加味することで、例えば、混載した方が料金が安くなる、という具合に、より適切な最安料金の輸送ルート判断を行うことができる。 Further, in the above-described embodiment, the acquisition means 60 of the server 30 may acquire the loading / vacant status 38D of the transportation means and add it to the determination of the cheapest transportation route. The means of transportation is, for example, a truck, an airplane, a ship, a railroad, or the like. The loading / vacant status is acquired by receiving data transmitted from the transportation means or the terminal of the transportation company 82, and is stored in the storage 36 as the loading / vacant status 38D. By acquiring the loading / vacant status 38D and adding it to the judgment, it is possible to determine a more appropriate transportation route with the lowest charge, for example, the charge is cheaper when the loading is mixed.
　また、上述した最安料金の輸送ルートの判断は、サーバ３０の更新手段７０により、需給の予測結果が変更される度に最新の情報に更新され、ストレージ３６に記憶される。更新された最安料金の輸送ルートは、ネットワークを介して売主、８０、輸送会社８２、拠点管理者８４に送信することで、提供される。更新された輸送ルートを受信した売主８０、輸送会社８２、拠点管理者８４の端末に、更新された最安料金の輸送ルートを表示させることで確認させる。 Further, the determination of the cheapest transportation route described above is updated to the latest information every time the supply and demand forecast result is changed by the update means 70 of the server 30, and is stored in the storage 36. The updated lowest-priced transportation route is provided by transmitting to the seller, 80, the transportation company 82, and the base manager 84 via the network. The terminal of the seller 80, the transportation company 82, and the base manager 84 that received the updated transportation route is made to confirm by displaying the updated transportation route with the lowest price.
　＜効果＞
　以上説明した実施形態によれば、サーバ３０が、輸送情報１２と保管情報２２とを取得し、取得された輸送情報と保管情報とを関連付けた関連データ４０を学習して、商品の需給を予測し、予測の結果に応じて、買主に向けて前記商品を効率的に輸送するための、拠点と期日と個数とを決定し、決定された拠点と期日と個数とに応じて、最安料金の輸送ルート４６を判断することとした。このため、倉庫に保管している商品の需給を予測して、最安料金の輸送ルートを判断し、ユーザの利益率を上げることができる。 <Effect>
According to the embodiment described above, the server 30 acquires the transportation information 12 and the storage information 22, learns the related data 40 that associates the acquired transportation information with the storage information, and predicts the supply and demand of the product. Then, according to the result of the forecast, the base, the due date and the quantity are determined in order to efficiently transport the goods to the buyer, and the lowest price is determined according to the determined base, the due date and the quantity. It was decided to determine the transportation route 46 of. Therefore, it is possible to predict the supply and demand of the products stored in the warehouse, determine the cheapest transportation route, and raise the profit margin of the user.
　なお、上述した実施形態は一例であり、同様の効果を奏する範囲内で適宜変更が可能である。また、本発明は、サーバ３０で実行されるプログラムとして提供されてもよい。このプログラムは、コンピュータが読取可能な記録媒体に記録された状態で提供されていてもよいし、ネットワークを介してダウンロードしてもよい。また、本発明は、方法の発明として提供されてもよい。 Note that the above-described embodiment is an example, and can be appropriately changed within the range in which the same effect is obtained. Further, the present invention may be provided as a program executed by the server 30. The program may be provided as recorded on a computer-readable recording medium or may be downloaded over a network. The present invention may also be provided as an invention of the method.
　本発明によれば、倉庫から買主に向けて輸送している輸送情報と、倉庫に保管している保管情報と、から商品の需給を予測して、拠点と期日と個数とに応じて最安料金の輸送ルートを判断することとしたので、最安輸送ルート判断システムとして好適である。 According to the present invention, the supply and demand of goods is predicted from the transportation information transported from the warehouse to the buyer and the storage information stored in the warehouse, and the cheapest according to the base, the date and the number. Since it is decided to determine the transportation route of the toll, it is suitable as the cheapest transportation route determination system.
１０：輸送車両
１２：輸送情報
２０：倉庫
２２：保管情報
３０：サーバ
３２：プロセッサ
３４：メモリ
３６：ストレージ
３８：取得データ
３８Ａ：輸送情報
３８Ｂ：保管情報
３８Ｃ：景気情報
３８Ｄ：積載空き状況
４０：関連データ
４２：予測データ
４４：決定データ
５０：通信部
６０：取得手段
６２：予測手段
６４：決定手段
６６：判断手段
６８：提供手段
７０：更新手段
８０：売主
８２：輸送会社
８４：拠点管理者
１００：最安輸送ルート判断全体システム 10: Transport vehicle 12: Transport information 20: Warehouse 22: Storage information 30: Server 32: Processor 34: Memory 36: Storage 38: Acquired data 38A: Transport information 38B: Storage information 38C: Business information 38D: Loading availability 40: Related data 42: Prediction data 44: Decision data 50: Communication unit 60: Acquisition means 62: Prediction means 64: Decision means 66: Judgment means 68: Providing means 70: Update means 80: Seller 82: Transportation company 84: Base manager 100: Cheapest transportation route judgment overall system

Claims (9)

  1. 　倉庫に保管している商品の需給を予測して、最安料金の輸送ルートを判断する最安輸送ルート判断システムであって、
    倉庫から買主に向けて輸送中の商品の輸送情報と、倉庫に保管している当該商品の保管情報と、を取得する取得手段と、
    前記取得された輸送情報と保管情報とを関連付けた関連データを学習して、前記商品の需給を予測する予測手段と、
    前記予測の結果に応じて、買主に向けて前記商品を効率的に輸送するための拠点と期日と個数とを決定する決定手段と、
    前記決定された拠点と期日と個数とに応じて、最安料金の輸送ルートを判断する判断手段と、
    を備える最安輸送ルート判断システム。     It is the cheapest transportation route judgment system that predicts the supply and demand of products stored in the warehouse and determines the cheapest transportation route.
    An acquisition method for acquiring transportation information of goods being transported from the warehouse to the buyer and storage information of the goods stored in the warehouse.
    A forecasting means for predicting the supply and demand of the product by learning the related data in which the acquired transportation information and the stored information are associated with each other.
    According to the result of the prediction, a determination means for determining a base, a date and a quantity for efficiently transporting the goods to the buyer, and
    Judgment means for determining the cheapest transportation route according to the determined base, date, and number of units,
    The cheapest transportation route judgment system equipped with.
  2. 　前記取得手段は、景気情報を取得し、
    前記予測手段は、取得された輸送情報と保管情報と景気情報とを関連付けた関連データを学習して、前記商品の需給を予測する、請求項１記載の最安輸送ルート判断システム。     The acquisition means acquires economic information and
    The cheapest transportation route determination system according to claim 1, wherein the forecasting means learns related data in which acquired transportation information, storage information, and economic information are associated with each other, and predicts the supply and demand of the product.
  3. 　前記予測手段は、例外の発生率を考慮して、前記輸送情報に含まれる輸送数から販売数を推測して、前記商品の需給を予測する請求項１又は２記載の最安輸送ルート判断システム。 The cheapest transportation route determination system according to claim 1 or 2, wherein the prediction means estimates the number of sales from the number of transportations included in the transportation information in consideration of the occurrence rate of exceptions, and predicts the supply and demand of the goods. ..
  4. 　前記予測手段は、例外の発生率を考慮して、前記保管情報に含まれる保管数から売れ残り数を推測して、前記商品の需給を予測する請求項１又は２記載の最安輸送ルート判断システム。 The cheapest transportation route determination system according to claim 1 or 2, wherein the forecasting means estimates the number of unsold items from the number of stored items included in the stored information in consideration of the occurrence rate of exceptions, and predicts the supply and demand of the product. ..
  5. 　前記判断手段による判断結果を、前記商品の売主、輸送会社、拠点管理者の少なくともいずれかの端末に出力させて提供する提供手段、を備える請求項１～４のいずれか一項に記載の最安輸送ルート判断システム。 The first item according to any one of claims 1 to 4, wherein the determination result by the determination means is output to at least one terminal of the seller, the transportation company, and the base manager of the product and provided. Safe transportation route judgment system.
  6. 　前記取得手段は、輸送手段の積載空き状況を取得し、
    前記判断手段は、前記取得された輸送手段の積載空き状況を最安料金の輸送ルートの判断に加える、
    請求項１～５のいずれか一項に記載の最安輸送ルート判断システム。     The acquisition means acquires the loading / vacant status of the transportation means, and obtains
    The determination means adds the loading / vacancy status of the acquired transportation means to the determination of the cheapest transportation route.
    The cheapest transportation route determination system according to any one of claims 1 to 5.
  7. 　前記予測手段による需給の予測結果が変更されるたびに、前記判断手段により得られる最安料金の輸送ルートを更新する更新手段、を備える請求項１～６のいずれか一項に記載の最安輸送ルート判断システム。 The lowest price according to any one of claims 1 to 6, further comprising an update means for updating the transportation route of the lowest price obtained by the determination means each time the supply and demand forecast result by the prediction means is changed. Transportation route judgment system.
  8. 　倉庫に保管している商品の需給を予測して、最安料金の輸送ルートを判断する最安輸送ルート判断方法であって、倉庫から買主に向けて輸送中の商品の輸送情報と、倉庫に保管している当該商品の保管情報と、を取得するステップと、前記取得された輸送情報と保管情報とを関連付けた関連データを学習して、前記商品の需給を予測するステップと、前記予測の結果に応じて、買主に向けて前記商品を効率的に輸送するための拠点と期日と個数とを決定するステップと、前記決定された拠点と期日と個数とに応じて、最安料金の輸送ルートを判断するステップと、を備える最安輸送ルート判断方法。 It is the cheapest transportation route determination method that predicts the supply and demand of the products stored in the warehouse and determines the cheapest transportation route. A step of acquiring the stored information of the product, a step of learning the related data associated with the acquired transportation information and the stored information, and a step of predicting the supply and demand of the product, and the forecast of the forecast. Depending on the result, the step of determining the base, date and quantity for efficiently transporting the goods to the buyer, and the transportation of the lowest price according to the determined base, date and quantity. The cheapest transportation route determination method with steps to determine the route.
  9. 　コンピュータに、倉庫に保管している商品の需給を予測して、最安料金の輸送ルートを判断する最安輸送ルート判断処理を実行させるプログラムであって、
    倉庫から買主に向けて輸送中の商品の輸送情報と、倉庫に保管している当該商品の保管情報と、を取得するステップと、
    前記取得された輸送情報と保管情報とを関連付けた関連データを学習して、前記商品の需給を予測するステップと、
    前記予測の結果に応じて、買主に向けて前記商品を効率的に輸送するための拠点と期日と個数とを決定するステップと、
    前記決定された拠点と期日と個数とに応じて、最安料金の輸送ルートを判断するステップと、
    を実行させるためのプログラム。     It is a program that causes a computer to predict the supply and demand of goods stored in a warehouse and execute the cheapest transportation route determination process to determine the cheapest transportation route.
    Steps to acquire the transportation information of the goods being transported from the warehouse to the buyer and the storage information of the goods stored in the warehouse,
    A step of learning the related data that associates the acquired transportation information and the stored information to predict the supply and demand of the product, and
    According to the result of the prediction, a step of determining a base, a date and a quantity for efficiently transporting the goods to the buyer, and
    The step of determining the cheapest transportation route according to the determined base, date and number, and
    A program to execute.
PCT/JP2019/037717 2019-09-25 2019-09-25 Least expensive transport route determination system, method, and program WO2021059415A1 (en)

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JPH10171895A (en) * 1996-12-05 1998-06-26 Hitachi Ltd Method for supplying merchandise
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