JP7181420B2 - Cheapest Transportation Route Judgment System, Method and Program - Google Patents

Description

The present invention relates to a computer, method, and program for determining the cheapest transportation route that predicts the supply and demand of products stored in a warehouse and creates the cheapest transportation route.

In recent years, the IoT of physical distribution has progressed. For example, when a product is produced at multiple production sites and transported to multiple inventory sites, it satisfies the standard inventory required at the warehouse site and minimizes the overall production cost, storage cost at the warehouse site, and transportation cost. A technique for planning a transportation plan is provided for the purpose of making a transportation plan (Patent Document 1 below).

JP 2009-286502 A

In the IoT of logistics, it is conceivable to apply technology that analyzes the supply and demand situation and predicts the optimization of charges. For example, there is an application to predict the lowest fare for transportation routes. However, with the technique described in Patent Document 1, it is not possible to predict the supply and demand of the products stored in the warehouse and determine the transportation route with the lowest fare.

In view of the above-mentioned problems, the present invention predicts the supply and demand of goods based on the transportation information on the goods being transported from the warehouse to the buyer and the storage information stored in the warehouse. It is an object of the present invention to provide a cheapest transport route determination system, method, and program for determining the cheapest transport route according to

The present invention is a computer for determining the cheapest transportation route for predicting the supply and demand of merchandise stored in a warehouse and determining the transportation route with the lowest fare, and the transportation information of the merchandise being transported from the warehouse to the buyer. and storage information of the product stored in the warehouse, and learning related data that associates the acquired transport information and storage information to predict supply and demand of the product. determining means for determining a base, date and quantity for efficiently transporting the goods to the buyer according to the result of the prediction; and a determining means for determining the cheapest transport route.

In addition, the present invention is a method for determining the cheapest transportation route for predicting the supply and demand of products stored in a warehouse and determining the transportation route with the lowest cost, and the method for determining the cheapest transportation route for products being transported from the warehouse to the buyer. Obtaining transportation information and storage information of the product stored in the warehouse, learning related data that associates the acquired transportation information and storage information, and predicting supply and demand of the product. determining a base, date and quantity for efficiently transporting the goods to the buyer according to the result of the prediction; and depending on the base, date and quantity determined. , and determining the cheapest transportation route.

Further, the present invention is a program that causes a computer to predict the supply and demand of goods stored in a warehouse and to execute the cheapest transportation route determination processing for determining the transportation route with the lowest fare. a step of acquiring transportation information of an item being transported to a warehouse and storage information of the item being stored in a warehouse; learning related data that associates the acquired transportation information and storage information; predicting the supply and demand of the goods; determining bases, dates and quantities for efficiently transporting the goods to the buyer according to the result of the prediction; A step of judging the transportation route with the lowest fare according to the date and the number of items is provided.

According to the present invention, the supply and demand of merchandise is predicted based on the transportation information on transportation 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 date and the number of items. 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 transport route, and increase the user's profit rate.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a conceptual diagram showing an outline of an overall system for determining the cheapest transportation route according to one embodiment of the present invention; It is a block diagram which shows the hardware constitutions of the server of the said embodiment. It is a block diagram which shows the functional structure of the server of the said embodiment. It is a flow chart which shows an example of the cheapest transportation route judgment processing of the embodiment.

The present invention predicts the supply and demand of goods from the transportation information on the goods being transported from the warehouse to the buyer and the storage information stored in the warehouse, and offers the lowest price according to the base, the date and the number of goods. It is a technology that determines the transportation route and increases the user's profit margin.

<Overall composition>
FIG. 1 is a diagram showing an outline of an overall system for determining the cheapest transport route (hereinafter referred to as "the overall system") 100 according to this embodiment. The overall system 100 is mainly composed of a server 30. 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. etc. are connected to each other by a network (not shown) so as to be able to communicate with each other. 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. It may also be a computer system (cloud) in which each configuration is executed on different computers.

When the transport information 12 of the goods being transported from the warehouse 20 to the buyer is transmitted from the transport vehicle 10, the server 30 acquires the transport information 12 by receiving the transport information 12 (step SA). The transportation information 12 is, for example, transportation information provided during transportation from transportation means such as air transportation, marine transportation, and land transportation, and includes product names, number of transportations, transportation areas, transportation dates, 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 goods on the carrier of the transportation vehicle 10. FIG. Specifically, the input content (such as slip information) accepted by the terminal of the transportation company 82 is transmitted, and the server 30 acquires the transportation information 12 by receiving the input content. Alternatively, the terminal acquires the identification information attached to the product on the loading platform of the transportation vehicle 10, transmits the identification information, and the server 30 receives the identification information, thereby acquiring the transportation information 12 from the identification information.

Further, when the storage information 22 of the products stored in the warehouse is transmitted from the warehouse 20 or the like, the server 30 receives the storage information 22 and acquires the storage information 22 (step SB). The storage information 22 includes, for example, product names and storage numbers. The storage information 22 may be grasped from the slip number transmitted from the site manager 84, or may be grasped by acquiring the identification information attached to the product being stored in the warehouse 20. FIG. Specifically, the storage information 22 is transmitted with the input content (such as a slip number) accepted by the terminal of the site manager 84, and the server 30 acquires the storage information 22 by receiving the input content. Alternatively, the terminal acquires the identification information attached to the product being stored in the warehouse 20, transmits the identification information, and the server 30 receives the identification information, thereby acquiring the storage information 22 from the identification information.

The server 30 learns related data that associates the acquired transport information 12 and storage information 22, and predicts the demand and supply of products (step S1). For example, it is possible to predict the supply and demand of products on a monthly basis by learning how many products were sold in which region, on what date, and so on.

Next, the server 30 determines the base, the date, and the number of items for efficiently transporting the item to the buyer according to the result of the prediction (step S2). For example, if it is predicted that 100 units will be sold in Okinawa in one month, and if there are 50 units in stock at the Okinawa base at present, and it is predicted that 10 units will be in stock in one month, we will have a base near Okinawa within 3 weeks in advance. In other words, it is decided that the total of 100 pieces after one month should be transported.

The server 30 determines the transportation route with the lowest charge according to the determined base, date and number (step S3). For example, if 100 pieces are to be transported to Okinawa within three weeks, the cheapest way would be to use a ship, not an airplane or a truck.

The server 30 provides the determination results by transmitting the determination results to the seller 80, the shipping company 82, the base manager 84, etc. via the network (step S4). Then, the terminals of the seller 80, the shipping company 82, and the base manager 84 that have received the judgment result are displayed and confirmed.

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, and the like, and the server 30 receives the data transmitted from the provider of the economic information to obtain the economic information.

In addition, the supply and demand may be predicted by estimating the number of sales from the number of shipments, taking into account the rate of occurrence of exceptions. Basically, once sold, it is transported from the warehouse, so the number of sales can be estimated from the number of transports considering the rate of exceptions. Alternatively, the supply and demand may be predicted by estimating the number of unsold items from the number of stored items, taking into account the rate of occurrence of exceptions. Basically, the number of unsold items is kept in the warehouse, so the number of unsold items can be estimated from the number of stored items considering the rate of exceptions.

Furthermore, the server 30 may acquire the load availability status of transportation means and add it to the determination of the cheapest transportation route. Transportation means are, for example, trucks, planes, ships, railroads, and the like. The loading availability status is acquired by the server 30 receiving data transmitted from the transportation vehicle 10 or the transportation company 82 . By acquiring such empty loading status and adding it to the determination, it is possible to make a more appropriate transportation route determination with the lowest fee, for example, if mixed loading reduces the transportation fee.

It should be noted that such determination of the cheapest transport route is updated to the latest information each time the forecast result of supply and demand is changed. The updated lowest fare transportation route is provided by transmitting it to the seller 80, the transportation company 82 and the site manager 84 via the network. Then, the terminal of the seller 80, the transportation company 82, and the base manager 84 that have received the updated transportation route is displayed to confirm the updated transportation route with the lowest charge.

<Server hardware configuration>
Next, referring to FIG. 2, the hardware configuration of the server 30 will be described. The server 30 includes a processor 32, memory 34, storage 36, and communication unit 50, which are connected by a bus (not shown). The processor 32 is configured by, 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 programs to be executed by the processor 32, and is composed of, for example, ROM (Read Only Memory) and RAM (Random Access Memory). For example, various means shown in FIG. 3 are stored.

The storage 36 stores acquisition data 38, related data 40, prediction data 42, determination data 44, transportation routes 46, and the like. The acquired data 38 includes transportation information 38A, storage information 38B, economic information 38C, loading availability 38D, and the like.

The communication unit 50 receives and acquires the transport information 12 transmitted from the terminal of the transport vehicle 10 or the transport company 82 via the network, and stores the storage information 22 transmitted from the terminal of the warehouse 20 or the base manager 84. It is what is received and acquired. Of course, if necessary, other information transmitted from other sources (for example, economic information, loading availability, etc.) may be received and acquired.

<Server functional configuration>
Next, the functional configuration of the server 30 will be described with reference to FIG. The server 30 comprises acquisition means 60 , prediction means 62 , determination means 64 , determination means 66 , provision means 68 and 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 the transportation information 12 transmitted from the transportation vehicle 10 or the transportation company 82, for example. The transport information 12 includes, for example, product name, number of transports, transport area, transport date, and the like. The transportation information 12 may be grasped from slip information transmitted from the transportation company 82, or may be grasped by acquiring the identification information attached to the goods on the carrier of the transportation vehicle 10. FIG. Specifically, the input content (such as slip information) accepted by the terminal of the transportation company 82 is transmitted, and the server 30 acquires the transportation information 12 by receiving the input content. Alternatively, the terminal acquires the identification information attached to the product on the loading platform of the transportation vehicle 10, transmits the identification information, and the server 30 receives the identification information, thereby acquiring the transportation information 12 from the identification information. The acquired transport information 12 is stored in the acquired data 38 of the storage 36 as transport information 38A.

Further, when the storage information 22 of the product stored in the warehouse is transmitted from the warehouse 20 or the like, the acquisition unit 60 acquires the storage information 22 by receiving the storage information 22 . The storage information 22 includes, for example, product names and storage numbers. The storage information 22 may be grasped from the slip number transmitted from the site manager 84, or may be grasped by acquiring the identification information attached to the product being stored in the warehouse 20. FIG. Specifically, the storage information 22 is transmitted with the input content (such as a slip number) accepted by the terminal of the site manager 84, and the server 30 acquires the storage information 22 by receiving the input content. Alternatively, the terminal acquires the identification information attached to the product being stored in the warehouse 20, transmits the identification information, and the server 30 receives the identification information, thereby acquiring the storage information 22 from the identification information.

In addition, the acquisition means 60 may acquire economic information. The economic information is, for example, stock price information, analyst information, and the like, and the business information is obtained by receiving the data transmitted from the provider of the economic information. The acquired economic information is stored in the acquisition data 38 of the storage 36 as economic information 38C.

Furthermore, the acquisition means 60 may acquire the loading availability status of the transportation means. Transportation means are, for example, trucks, planes, ships, railroads, and the like. The load availability status is acquired by receiving data transmitted from the transportation vehicle 10 or the terminal of the transportation company 82 . The acquired load availability status is stored in the acquired data 38 of the storage 36 as a load availability status 38D.

The prediction means 62 learns the related data 40 that associates the transport information 38A and the storage information 38B acquired by the acquisition means 60, and predicts the demand and supply of products. For example, it learns which product sold in which region, on what date, how many, etc., and predicts the supply and demand of the product on a monthly basis. Further, when business information is acquired by the acquisition means 60, the related data 40 in which transportation information, storage information, and business information are associated may be learned to predict future supply and demand. The prediction data 42 generated by the prediction means 62 are stored in the storage 36 .

Also, the prediction means 62 may predict supply and demand by estimating the number of sales from the number of shipments, taking into account the rate of occurrence of exceptions. Basically, once sold, it is transported from the warehouse, so the number of sales can be estimated from the number of transports considering the rate of exceptions. Alternatively, the forecasting means 62 may estimate the number of unsold items from the number of stored items in consideration of the rate of occurrence of exceptions, and forecast supply and demand. Basically, the number of unsold items is kept in the warehouse, so the number of unsold items can be estimated from the number of stored items considering the rate of exceptions.

The decision means 64 decides 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 units will be sold in Okinawa in one month, and if there are 50 units in stock at the Okinawa base at present, and it is predicted that 10 units will be in stock in one month, we will have a base near Okinawa within 3 weeks in advance. In other words, it is sufficient if the total is 100 after one month. Decision data 44 generated by decision means 64 is stored in storage 36 .

Judgment means 66 judges the transportation route with the lowest fare according to the base, date and number determined by the determination means 64 . For example, if 100 pieces are to be transported to Okinawa within three weeks, the cheapest way would be to use a ship, not an airplane or a truck.

In addition, when the obtaining means 60 acquires the empty loading status 38D of the transportation means, the judging means 66 may add the empty loading status 38D to the determination of the cheapest transportation route. By acquiring the empty loading status 38D and adding it to the judgment, it is possible to make a more appropriate transportation route judgment with the lowest fare, for example, if mixed loading reduces the charge. The cheapest transportation route 46 generated by the determination means 66 is stored in the storage 36 .

The providing means 68 provides the determination results by transmitting the cheapest transport route 46 determined by the determining means 66 to the terminals of the seller 80, the transportation company 82, the base manager 84, etc. via the network. It is a thing. The terminals of the seller 80, the shipping company 82, and the base manager 84, which have received the determination result, display the received determination result for confirmation. When the transportation route with the lowest fare is updated by the updating means 70, which will be described later, the judgment result is similarly provided.

The updating means 70 updates the determination of the transportation route with the lowest fare each time the prediction result of supply and demand by the prediction means 62 is changed. The updated transportation route with the lowest fare is provided by the providing means 68 by transmitting it to the terminals of the seller 80, the transportation company 82, and the base manager 84 via the network. Then, the terminal of the seller 80, the transportation company 82, and the base manager 84 that have received the updated transportation route is displayed to confirm the updated transportation route with the lowest charge.

<Lowest transportation route determination processing>
Next, an example of the cheapest transportation route determination processing of the overall system 100 will be described with reference to FIG. FIG. 4 is a flow chart showing an example of the cheapest transport route determination process of this embodiment. The server 30 and the terminals of the transport vehicle 10, the warehouse 20, the seller 80, the transport company 82, and the base manager 84 are connected to each other via a network including the Internet so as to be able to communicate with each other.

Acquisition means 60 of server 30 acquires transportation information 12 by receiving the transportation information 12 when the transportation information 12 of the product being transported from the warehouse to the buyer is transmitted from the transportation vehicle 10. 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 obtained by receiving the storage information 22 (step S10).

The transport information 12 includes, for example, product name, number of transports, transport area, transport date, and the like. The transportation information 12 may be grasped from slip information transmitted from the transportation company 82, or may be grasped by acquiring the identification information attached to the goods on the carrier of the transportation vehicle 10. FIG. Specifically, the input content (such as slip information) accepted by the terminal of the transportation company 82 is transmitted, and the server 30 acquires the transportation information 12 by receiving the input content. Alternatively, the terminal acquires the identification information attached to the product on the loading platform of the transportation vehicle 10, transmits the identification information, and the server 30 receives the identification information, thereby acquiring the transportation information 12 from the identification information. The acquired transport information is stored in the acquired data 38 of the storage 36 as transport information 38A.

The storage information 22 includes, for example, product names and storage numbers. The storage information 22 may be grasped, for example, from the slip number transmitted from the base manager 84, or may be grasped by acquiring the identification information attached to the product being stored in the warehouse 20. FIG. Specifically, the storage information 22 is transmitted with the input content (such as a slip number) accepted by the terminal of the site manager 84, and the server 30 acquires the storage information 22 by receiving the input content. Alternatively, the terminal acquires the identification information attached to the product being stored in the warehouse 20, transmits the identification information, and the server 30 receives the identification information, thereby acquiring the storage information 22 from the identification information. The acquired storage information is stored in the acquisition data 38 of the storage 36 as storage information 38B.

Next, the prediction means 62 of the server 30 learns the related data 40 that associates the acquired transport information 38A and 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 how many products were sold in which region, on what date, and so on. The prediction data 42 generated by the prediction means 62 are stored in the storage 36 .

Next, the determining means 64 of the server 30 determines the base, the date and the number of items for efficiently transporting the item to the buyer according to the result of the prediction (step S14). For example, if it is predicted that 100 units will be sold in Okinawa in one month, and if there are 50 units in stock at the Okinawa base at present, and it is predicted that 10 units will be in stock in one month, we will have a base near Okinawa within 3 weeks in advance. In other words, it is decided that the total of 100 pieces after one month should be transported. Decision data 44 generated by decision means 64 is stored in storage 36 .

The determining means 66 of the server 30 determines the transportation route with the lowest fare according to the decided base, date and number (step S16). For example, if 100 pieces are to be transported to Okinawa within three weeks, the cheapest way would be to use a ship, not an airplane or a truck. The cheapest transport route 46 determined by the determination means 66 is stored in the storage 36 .

The providing means 68 of the server 30 provides the determination result by transmitting the transportation route 46 with the lowest fare determined by the determination means 66 to the seller 80, the transportation company 82, the base manager 84, etc. via the network. (step S18). Then, the terminal of the seller 80, the transportation company 82, and the base manager 84 displays the received judgment result to confirm it.

In the above-described embodiment, the acquisition means 60 of the server 30 also acquires the economic information, learns the related data 40 that associates the acquired transportation information 38A, the storage information 38B, and the economic information 38C, You may make it forecast supply and demand. The economic information is, for example, stock price information, analyst information, and the like, and the business information is obtained by receiving the data transmitted from the provider of the economic information. The acquired economic information is stored in the storage 36 as economic information 38C.

Further, in the above-described embodiment, the prediction means 62 of the server 30 may predict supply and demand by estimating the number of sales from the number of shipments, taking into account the rate of occurrence of exceptions. Basically, once sold, it is transported from the warehouse, so the number of sales can be estimated from the number of transports considering the rate of exceptions. Alternatively, the forecasting means 62 may estimate the number of unsold items from the number of stored items in consideration of the rate of occurrence of exceptions, and forecast supply and demand. Basically, the number of unsold items is kept in the warehouse, so the number of unsold items can be estimated from the number of stored items considering the rate of exceptions.

Furthermore, in the above-described embodiment, the acquisition means 60 of the server 30 may acquire the load availability status 38D of the transportation means and add it to the determination of the cheapest transportation route. Transportation means are, for example, trucks, planes, ships, railroads, and the like. The empty loading status is acquired by receiving data transmitted from the terminal of the transportation means or the transportation company 82, and stored in the storage 36 as the empty loading status 38D. By acquiring the empty loading status 38D and adding it to the judgment, it is possible to make a more appropriate transportation route judgment with the lowest fare, for example, if mixed loading reduces the charge.

Further, the determination of the transportation route with the lowest fare is updated to the latest information by the updating means 70 of the server 30 every time the forecast result of supply and demand is changed, and is stored in the storage 36 . The updated lowest fare shipping route is provided by sending it over the network to the seller 80, the shipping company 82 and the site manager 84. Terminals of the seller 80, the transportation company 82, and the base manager 84 that have received the updated transport route are displayed to confirm the updated transport route with the lowest charge.

<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 and storage information, and predicts the supply and demand of products. Then, according to the result of the prediction, determine the base, date and quantity for efficiently transporting the said goods to the buyer, and according to the decided base, date and quantity, the lowest charge 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 transport route, and increase the user's profit rate.

In addition, the above-described embodiment is an example, and can be appropriately modified within a range in which the same effect can be obtained. Also, the present invention may be provided as a program executed by the server 30 . This program may be provided in a state recorded on a computer-readable recording medium, or may be downloaded via a network. The present invention may also be provided as a method invention.

According to the present invention, the supply and demand of merchandise is predicted based on the transportation information on transportation 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 date and the number of items. It is suitable as a system for determining the cheapest transportation route because it determines the transportation route for the fee.

10: Transportation vehicle 12: Transportation information 20: Warehouse 22: Storage information 30: Server 32: Processor 34: Memory 36: Storage 38: Obtained data 38A: Transportation information 38B: Storage information 38C: Economic information 38D: Load 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: Provision means 70: Update means 80: Seller 82: Transportation company 84: Base manager 100: Whole system for determining the cheapest transport route

Claims (9)

A cheapest transportation route determination system for predicting the supply and demand of products stored in a warehouse and determining the cheapest transportation route,
Acquisition means for acquiring transportation information of goods being transported from the warehouse to the buyer and storage information of the goods stored in the warehouse;
predicting means for predicting supply and demand of the product by learning related data that associates the acquired transportation information and storage information;
Determining means for determining bases, dates and quantities for efficiently transporting the goods to the buyer according to the result of the prediction;
Judgment means for judging the transportation route with the lowest fare according to the determined base, date and number;
The cheapest transport route judgment system with The acquisition means acquires economic information,
2. The cheapest transportation route determination system according to claim 1, wherein said prediction means learns related data that associates acquired transportation information, storage information, and economic information, and predicts supply and demand of said product. 3. The cheapest transportation route determination system according to claim 1 or 2, wherein said prediction means estimates the sales volume from the transportation volume included in said transportation information in consideration of an exception occurrence rate, and forecasts supply and demand of said product. . 3. The cheapest transportation route determination system according to claim 1, wherein said prediction means estimates the number of unsold products from the number of storages included in said storage information, taking into account the rate of exceptions, and forecasts supply and demand of said products. . 5. The maximum according to any one of claims 1 to 4, further comprising providing means for outputting and providing the judgment result by said judging means to a terminal of at least one of a seller of said product, a transportation company, and a base manager. Cheap transportation route judgment system. The acquisition means acquires the loading availability status of the transportation means,
The determination means adds the acquired loading availability of the 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. The lowest price according to any one of claims 1 to 6, further comprising update means for updating the transportation route with the lowest fare obtained by said determination means each time the forecast result of supply and demand by said forecast means is changed. Transportation route judgment system. A method of determining the cheapest transportation route by predicting the supply and demand of goods stored in a warehouse and determining the cheapest transportation route. acquiring storage information of the stored product; learning related data that associates the acquired transportation information and storage information to predict supply and demand of the product; Determining a base, date and quantity for efficiently transporting the goods to the buyer according to the result; and transporting the goods at the lowest price according to the base, date and quantity determined. determining a route, and determining the cheapest transportation route. A program for causing a computer to predict the supply and demand of goods stored in a warehouse and to execute the cheapest transportation route determination process for determining the cheapest transportation route,
a step of obtaining transportation information of the goods being transported from the warehouse to the buyer and storage information of the goods stored in the warehouse;
a step of learning related data that associates the acquired transportation information and storage information to predict supply and demand of the product;
determining locations, dates and quantities for efficiently transporting the goods to the buyer according to the results of the prediction;
a step of determining a transportation route with the lowest fare according to the determined base, date and number;
program to run the

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