JP4285232B2 - Logistics cost forecasting device, forecasting method and program therefor - Google Patents

Description

  The present invention relates to a technology for predicting a distribution cost necessary for transporting a group of parts used for a new product to be newly started from a purchase base to a production base.

For example, in order to produce a product called an automobile, a large number of parts are required, and it is necessary to transport a large number of parts from a large number of purchase bases to a production base. By transporting the parts group, logistics costs (transportation costs, loading / unloading costs, storage costs, management costs, etc.) are incurred.
Parts logistics costs constitute a part of product production costs (costs). When planning a new product, it is necessary to know the parts logistics cost of the new product, and a technology for predicting the parts logistics cost of the new product is required. A technique for predicting logistics costs is described in Patent Document 1.
JP 2000-57220 A

  Companies produce a wide variety of products. If parts are transported for each product type, the parts logistics costs for new products can be estimated relatively easily, and no special technology is required. However, in order to make the physical distribution rational, a group of parts used for a plurality of types of products is often mixed and transported. For example, parts a used for product type A and parts b used for product type B are often mixed and transported on a single truck. In the case of mixed transportation, it is complicated to calculate the distribution cost of parts for a new product. For example, it is assumed that a part a to be used for the product type A is currently being transported and a part b for the new product B is added after the start of production of the new product. In this case, even if the transportation of the part b for the new product B is added, the transportation cost of the part b can be kept low if the transportation cost of the part b can be reduced if it can be transported in a single truck. Therefore, if one truck cannot be transported and another truck is required, the logistics cost of the part b becomes expensive. In order to predict and calculate the logistics cost of a new product parts group, it is necessary to consider the actual state of transportation of parts groups for other product types.

In order to make logistics more rational, the number of transportation forms delivered to production bases after going through multiple purchasing bases has increased, and it has become increasingly difficult to calculate parts logistics costs for each product type. Yes. This will be explained with a simplified example. As illustrated in FIG. 19A, at present, the trailer T1 having a loadable capacity of 100 m ³ leaves the production base F1, collects 40 m ³ parts at the parts purchase base f2, and then continues to the parts purchase base. to pick up the parts of 40m ³ in f1, it is assumed that by turning Tour the route back to production sites F1. As shown on the right side, the logistics costs at this time increase in proportion to the unit price b1 that increases in proportion to the transportation amount of parts, the distance unit price b1 that increases in proportion to the travel distance, and the number of trailers. Is calculated based on the basic unit price c1. At present, the total transportation amount of parts is 80 m ³ , the total distance of traveling around the route is 100 km, and the number of trailers is one, so the distribution cost is calculated as 80 · a1 + 100 · b1 + c1.
It is assumed that in order to produce a new product, parts must be newly collected at the purchase base f3. At this time, in the case of (2), compared to the case of (1), the transportation amount of parts is increased by 20 m ³ and the total distance is increased by 50 km, but the necessary number of trailers is not increased. New logistics costs increase in proportion to the amount of parts transported and the total distance, but not the basic fee. On the other hand, in the case of (3), since the transportation amount of parts is increased by 30 m ³ compared to the case of (1), the load capacity of one trailer is insufficient, and the second trailer is necessary. It has become. The total distance traveled by the trailer is 220 km, which is 120 km longer than in the case of (1). Compared with the case (2), a basic charge for two trailers is required, and the charge proportional to the travel distance also increases. In the case of (3), compared to the case of (2), the transportation amount of parts has only increased by 10 m ³ and the number of purchase bases has not increased, but in (3) and (2) The difference in distribution costs may be larger than the difference in distribution costs between (1) and (2).
In this way, when parts are collected by patroling multiple purchasing bases and transported to the production base after they are picked up, even if the transportation amount of parts, total travel distance, and number of patrol bases do not change much, Depending on the type of transportation means used and the choice of route, the amount of increase in transportation costs may vary greatly. In fact, there are many other things that complicate the calculation of logistics costs, such as the basic unit price of each means of transportation varies depending on the transportation company to which the means of transportation belongs, and additional tolls are required depending on the type of road. There is a factor.

When calculating the logistics cost of a group of parts for a new product, it is necessary to consider various factors related to other logistics costs as well as an increase in the transportation amount and travel distance of the parts. It is impractical to calculate only for these parts by making independent the amount of newly transported parts and the newly added purchasing base. In order to carry out efficient transportation, various types of parts are often mixed and transported. After the new product starts production, it will be transported together with the parts for the existing product. By calculating the distribution cost assuming the actual transportation mode, it is possible for the first time to predict the distribution cost of the parts group for the new product relatively accurately. For this purpose, it is necessary to calculate the logistics cost in consideration of the transport amount of all kinds of parts that need to be transported, including the parts group for existing products, and the relationship between all the purchase bases.
The conventional technology has not reached the level of predicting and calculating the distribution cost of parts for new products, taking into account the distribution of parts for existing products. Stay on.

  The present invention provides a technique for predicting and calculating a distribution cost for a group of parts for a new product, taking into account the distribution of the group of parts for an existing product. In the present invention, the distribution cost is calculated on the assumption of the transportation form actually executed, and the distribution cost of the parts group for the new product is estimated and calculated relatively accurately.

(One way to solve the problem)
The present invention has created an apparatus for predicting the distribution cost required for transporting a group of parts used for a new product to be newly produced from the purchase base to the production base.
This device has a “product type / production number” database that stores the planned production number for each product type to be produced within a predetermined period after the start of production of a new product, and for producing that product for each product type. “Product type / part type / part quantity” database storing necessary part types and quantity, and “Part type / purchase base” database storing purchase parts base for each part type And a “new product / production quantity / part type / part quantity / purchase site” information aggregating means for aggregating parts types and quantities and production bases necessary for producing a new product of the planned production number.
In addition, a database that stores information on “part type / part quantity / purchase location” currently being transported and “new product / production quantity / part type / part quantity / purchase location” information aggregation means Summarize the aggregated “part type / part quantity / purchase location” and the current “part type / part quantity / purchase location”, then “part type / part quantity / purchase” after the start of production of the new product. Means for aggregating the “base” information.
Furthermore, it has means for drafting a transportation plan indicating “transportation means / transportation quantity / transportation section” from “part type / part quantity / purchase base” information after the start of production of a new product.
On top of that, a database storing unit prices required to calculate the logistics costs from the means of transportation, the quantity of transportation, and the transportation section, and a means for calculating the logistics costs required to execute the planned transportation plan; , A means of searching for a transportation plan after the start of production of a new product that minimizes the calculated logistics cost, a database that stores the logistics cost currently spent on parts transportation, and the searched transportation plan There is a means for calculating a parts group distribution cost per new product by dividing an amount obtained by subtracting the current distribution cost from the minimum distribution cost after starting production of the new product by the planned number of new products.

(The action and effect)
Produces the part types necessary to produce a new product with the planned number of productions stored in the “Product Type / Production Number” database and the product types stored in the “Product Type / Part Type / Part Quantity” database. If you collect the parts type and quantity required to do this and the purchase bases for each part type stored in the "Part Type / Purchase Base" database, then "New Product / Production Number / Part Type / Part Quantity" / Purchase site information can be aggregated.
Also, if the aggregated “part type / part quantity / purchase location” and the current “part type / part quantity / purchase location” stored in the database are added together, “Part type / part quantity / purchase location” information can be aggregated.
Further, it is possible to devise a transportation plan indicating “transport means / transport quantity / transport section” from “part type / part quantity / purchase base” information after the start of production of the aggregated new product. The transportation section here refers to the section between the bases (between the two bases), and in the transportation plan, which transportation means and how many parts are transported in which transportation section. It is determined.
In addition, if the unit price required to calculate the logistics cost from the means of transportation, the quantity transported, and the transportation section stored in the database is used, the logistics cost required to execute the planned transportation plan can be calculated. Can do. Then, it is possible to search for a transportation plan after the start of production of a new product that minimizes the calculated distribution cost. Then, by dividing the minimum logistics cost after the start of production of the new product in the searched transportation plan by subtracting the current logistics cost stored in the database by the planned production number of the new product, the new product It is possible to calculate the parts group logistics cost per one.
This device searches for a transportation plan after the start of production of a new product that minimizes the logistics cost, considering the logistics of parts for existing products as well as new products. Then, by dividing the difference between the minimum logistics cost after the start of production of the new product and the current logistics cost in the searched transportation plan by the planned number of new products, the parts group logistics cost per new product Calculate By assuming and calculating a case closer to the form of transportation actually performed, it is possible to accurately predict the distribution cost.

(Preferred means for solving the problem)
If there are multiple production bases, information on “new product / production quantity / part type / part quantity / purchase base / production base” and current “part type / part quantity / purchase base / production base” ”Information is aggregated, the“ part type / part quantity / purchase base / production base ”information after the start of production of the new product is aggregated, and the“ transportation means ”after the start of production of the new product is based on the aggregate information It is preferable to formulate a transportation plan indicating “/ transport quantity / transport section”.
(The effect)
Even when there are a plurality of production bases, it is possible to accurately predict the distribution cost by preparing a transportation plan for all parts groups to be transported from each purchase base to each production base.

(Preferred means for solving the problem)
It is preferable that the means storing the calculated unit price of the distribution cost stores the basic unit price for each transportation means, the unit price depending on the transportation quantity, and the unit price depending on the transportation distance.
(The effect)
By storing these unit prices, the logistics costs can be predicted more specifically.

(Preferred means for solving the problem)
In the case of this logistics cost forecasting device, it is planned as a means for formulating a transportation plan indicating “transportation means / transportation quantity / transportation section” from information of “part type / part quantity / purchase base” currently being transported. The means for calculating the logistics cost necessary to execute the transportation plan, the means for searching the current transportation plan that minimizes the calculated logistics cost, and the ratio of the searched minimum logistics cost to the current logistics cost. A means for calculating, a means for correcting the distribution cost after the start of production of the new product by adding the above-mentioned ratio to the calculated minimum logistics cost after the start of production of the new product, and after the start of production of the modified new product It is preferable to add a means for calculating the parts group logistics cost per new product from the logistics costs.
(The action and effect)
In this device, the current transportation plan is drawn up by simulation. In this way, the distribution cost required to execute the transportation plan prepared by the simulation is calculated, and the current transportation plan that minimizes the calculated distribution cost is searched by the simulation. Then, the ratio of the minimum logistics cost searched in the simulation and the current logistics cost is calculated. If the calculated ratio is added to the calculated minimum logistics cost after the start of production of the new product, the logistics cost after the start of production of the new product can be corrected. It is possible to calculate the parts group logistics cost per new product from the logistics costs.
With this equipment, the current transportation plan that minimizes the distribution cost is searched by simulation, and the ratio of the minimum distribution cost and current distribution cost searched by the simulation is used to calculate the parts group distribution cost per new product. Calculate By incorporating the gap between the logistics cost minimized by the simulation and the actual logistics cost in advance, the logistics cost can be predicted more reliably.

(One way to solve the problem)
The present invention has created a method for predicting the logistics cost required to transport a group of parts used for a new product to be newly produced from the purchase site to the production site.
This method causes the computer to perform the following process:
-"Product Type / Production Number" database that stores the planned production number for each product type to be produced within the specified period after the start of production of the new product, and the parts required to produce that product for each product type Refer to the “Product Type / Part Type / Part Quantity” database that stores the type and quantity and the “Part Type / Purchase Base” database that stores the purchase base of the part for each part type. A process of aggregating information on “new product / production quantity / part type / part quantity / purchase location” information, which summarizes the parts type and quantity required to produce a new product with the planned production quantity,
・ "Part type / part quantity / purchase site" aggregated by "New product / Production quantity / Part type / Part quantity / Purchase base" information aggregation processing and "Part type / Part quantity" currently transported The process of aggregating the information stored in the database storing the information of the “/ purchasing base” to aggregate the “part type / part quantity / purchasing base” information after the start of production of the new product;
・ Developing a transportation plan indicating “transport means / transport quantity / transport section” from “part type / part quantity / purchase location” information after the start of production of a new product;
A process for calculating the logistics cost required to execute the planned transportation plan with reference to a database storing the unit price necessary to calculate the logistics cost from the transportation means, the transportation quantity and the transportation section; ,
A process of searching for a transportation plan after the start of production of a new product that minimizes the calculated logistics costs;
・ New product by subtracting the current logistics cost stored in the database from the minimum logistics cost after the start of production of the new product in the searched transportation plan and dividing the reduced amount by the planned production number of the new product. A process of calculating the logistics cost of parts per unit,
(The action and effect)
In this method, not only new products but also logistics of parts for existing products are taken into account, and a transportation plan after the start of production of new products that minimizes logistics costs is searched. Then, by dividing the difference between the minimum logistics cost after the start of production of the new product and the current logistics cost in the searched transportation plan by the planned number of new products, the parts group logistics cost per new product Calculate By calculating on the assumption that it is closer to the form of transportation actually carried out, it is possible to accurately predict the distribution cost.

(One way to solve the problem)
According to the present invention, a program has been created for predicting the logistics costs necessary for transporting a group of parts used for a new product to be newly produced from a purchase site to a production site. This program is processed by the computer as follows:
-"Product Type / Production Number" database that stores the planned production number for each product type to be produced within the specified period after the start of production of the new product, and the parts required to produce that product for each product type Refer to the “Product Type / Part Type / Part Quantity” database that stores the type and quantity and the “Part Type / Purchase Base” database that stores the purchase base of the part for each part type. , A process of aggregating information on “new product / production quantity / part type / part quantity / purchase location” information, which summarizes the parts types and their quantities required to produce new products with the planned production quantity,
・ "Part type / part quantity / purchase site" aggregated by "New product / Production quantity / Part type / Part quantity / Purchase base" information aggregation processing and "Part type / Part quantity" currently transported The process of aggregating the information stored in the database storing the information of “/ Purchase base” to aggregate the “Part type / Part quantity / Purchase base” information after the start of production of the new product,
・ Processing to formulate a transportation plan indicating “transport means / transport quantity / transport section” from “part type / part quantity / purchase location” information after the start of production of a new product;
A process for calculating the logistics cost required to execute the planned transportation plan with reference to a database storing the unit price necessary to calculate the logistics cost from the transportation means, the transportation quantity and the transportation section. ,
・ Process to search for the transportation plan after the start of production of a new product that minimizes the calculated logistics cost,
・ New product by subtracting the current logistics cost stored in the database from the minimum logistics cost after the start of production of the new product in the searched transportation plan and dividing the reduced amount by the planned production number of the new product. Processing to calculate the logistics cost of parts per unit,
Is executed.
(The action and effect)
In this program, not only new products but also logistics of parts for existing products are taken into account, and a transportation plan after the start of production of new products that minimizes logistics costs is searched. Then, by dividing the difference between the minimum logistics cost after the start of production of the new product and the current logistics cost in the searched transportation plan by the planned number of new products, the parts group logistics cost per new product Let's calculate. The distribution cost can be accurately predicted by calculating on the assumption that it is closer to the form of transportation actually executed.

The main features of the embodiments described below are listed first.
(Embodiment 1) There is one type of new product to be newly started.
(Form 2) When there are a plurality of types of new products to be newly produced, for example, if the distribution cost used for one product type A is calculated, then it is used for two product types A and B. And the difference between the distribution cost for the former product type A and the distribution cost for the latter product types A and B is calculated as the distribution cost for the second product type B. Similarly, the distribution cost of each product type can be calculated by calculating the distribution cost by increasing the number of product types by one and calculating the difference from the distribution cost when the number of product types is one less. .

In this embodiment, the transportation means is a trailer, and a plurality of types of parts used for a plurality of types of products are collected at each purchase site and transported to each product production site. It is obvious that the present invention can be applied to transportation means other than trailers.
In this embodiment, the logistics costs (transportation costs, loading / unloading costs, management costs, etc.) necessary to transport the parts used in the new product are predicted. The logistics cost required to transport the parts is treated as an element of the production cost (cost) of the product, and is taken into consideration for determining the sales price of the new product when planning the sales of the new product. Therefore, the following logistics cost prediction apparatus operates when determining the price of a new product.

(First embodiment)
First, with reference to FIG. 1, the system configuration of the physical distribution cost prediction apparatus according to the first embodiment will be described.
The physical distribution cost prediction apparatus 2 is a computer that inputs, stores, calculates, outputs a calculation result, and operates a peripheral device based on the calculation result, and a description of pure hardware is omitted.

The physical distribution cost prediction device 2 includes a product production plan database 22. The product production plan database 22 stores the types of products to be produced at each product production base and the number of productions for each period.
FIG. 2 shows a data configuration example of the product production plan. For example, the product production base F1 indicates that the product type A and the product type B are produced. Product type A is a new product that will start production from the first week of April, 4000 in the first week of April, 4000 in the second week, 3800 in the third week, etc. It shows that there is. On the other hand, product type B is an existing product, 2000 in the 4th week of March, 2000 in the 1st week of April, 2000 in the 2nd week, 1500 in the 3rd week, and so on. It shows that there is.

The product type / part type information database 24 in FIG. 1 stores the part types used for the product type for each product type.
FIG. 3 shows a data configuration example of product type / part type information. For example, three types of components α, β, and γ are used for the component type A, and the numbers used are 4, 3, and 2, respectively.

The part type / purchase site information database 26 in FIG. 1 stores a part purchase site for purchasing the part type for each part type.
FIG. 4 shows a data configuration example of part type / purchase site information. For example, the part type α indicates that the parts are purchased from the parts purchase base f1. The purchase base may be not only a factory for producing parts, but also a relay base for relaying parts transported from the parts production factory.

The box / part type information database 26 in FIG. 1 stores the L dimension (length dimension), W dimension (width dimension), H dimension (height dimension), volume, and capacity of each box for accommodating parts. It stores the possible types of parts and the number of accommodated parts.
FIG. 5 shows a data configuration example of box / part type information. For example, the box of number B-01 has an L dimension of 1.0 m, a W dimension of 0.5 m, an H dimension of 0.1 m, and a volume of 0.05 m ^3. ,..., And the respective accommodation numbers are 10, 10, 4,.

The logistics cost prediction device 2 in FIG. 1 includes a transportation parts information creation unit 4. The transport part information creation unit 4 is based on the information in the product production plan database 22, product type / part type information database 24, part type / part purchase base information database 26, and box / part type information database 28. Create transportation parts information. The transportation parts information indicates how many parts are transported from which parts purchase base to which product production base.
The created transport part information is stored in the transport part information database 30. FIG. 6 shows a data configuration example of the transportation part information. Details of this data will be described later.

The trailer information database 32 shown in FIG. 1 includes an ID of an available trailer, a transportation company to which the trailer belongs, a product production base that can be arranged, a parts procurement base that can collect goods, a loadable capacity, and an operating time. Are stored in association with each other.
FIG. 8 shows an example data structure of trailer information. For example, the trailer with ID T001 belongs to company X, the product production bases that can be arranged are F1, F2,..., The parts procurement bases that can be picked up are f1, f2,. 75m ³ , indicating that the operating time is 8 hours. The product production bases that can be placed and the parts purchase bases that can be picked up are determined by the carry-in / out space and the location of each base.

The section information database 34 in FIG. 1 stores the type (general road / highway, trailer-impossible, etc.), distance, and time in association with each section between two bases.
FIG. 9 shows a data configuration example of the section information. For example, the section from the parts purchase base f1 as the start point to the delivery base F1 as the end point indicates that the type is a general road, the distance is 60 km, and the time is 90 minutes.

The distance stored in the section information database 34 is the distance of the shortest route searched by the shortest route search unit 6. The shortest path search unit 6 searches for the shortest path of a section between two bases using information in the base information database 40 and the map network information database 42.
The base information database 40 stores information indicating the location of each base, such as the address, postal code, and area code.
The map network information database 42 stores a network model based on a digital map. The network model is composed of nodes (points) on the map and arcs (lines) connecting them. Each arc includes information such as distance, speed limit, average speed, road type (national road / prefectural road, etc.), road width, and the like.
The shortest path search unit 6 is based on the location of the base stored in the base information database 40 and the nodes (points) and arcs (lines) constituting the network model stored in the map network information database 42. Search for the shortest route between two locations. The search method itself is known and an existing technique can be used. The searched route is adopted as a section between two bases. The distance of these routes is calculated using an arc corresponding to the searched route on the network model.

The loading / unloading time information database 36 in FIG. 1 includes information on the time required for loading parts at the parts purchase site (0.3 minutes / 1 m ^3, etc.) and the time required for unloading parts at the product production site ( 0.3 minutes / 1 m ³ ) is stored.

The logistics unit price information database 38 in FIG. 1 stores unit prices for each item of expenses required for logistics.
FIG. 10 shows a data configuration example of the distribution unit price information. Logistics costs are the sum of the transportation cost calculated from the transportation unit price in (1), the unloading cost calculated from the unit price in (2), and the administrative cost calculated from the management unit price in (3). Can be calculated.
The transportation unit cost of (1) is required by using the highway cost required to hire the trailer for one day, the mileage cost required according to the travel distance (combined travel cost and gasoline cost), and the expressway. It is divided into highway costs. The higher cost varies depending on the transportation company to which the trailer belongs, and for example, the company X is 5000 yen / unit, the company Y is 6000 yen / unit, the company Z is 7000 yen / unit, and so on. The mileage cost becomes cheaper as the distance becomes longer, indicating that it is 200 yen / km up to 100 km, 170 yen / km up to 200 km, 150 yen / km up to 300 km, and so on. The highway cost is determined by the high-speed fee, and indicates that it is 1500 yen up to 50 km, 2000 yen up to 100 km, 2500 yen up to 200 km, and so on. The highway cost is required only for the section using the expressway.
The unloading unit price of (2) is a cost required for unloading parts at the delivery site, and is determined according to the volume of the parts for each product production site. For example, it is 200 yen / m ³ at the product production base F1, while it is 220 yen / m ³ at the product production base F2. In general, the cost required for loading parts at the parts purchase base is borne by the parts purchase base.
The management unit price of (3) is a cost required for inventory management of parts, preparation of a schedule for receiving parts, and the like, and is determined according to the volume of parts for each product production base. For example, it is 400 yen / m ³ at the product production base F1, whereas it is 420 yen / m ³ at the product production base F2.

The logistics cost prediction device 2 in FIG. 1 includes an optimization calculation unit 8. The optimization calculation unit 8 starts production of a new product based on the information in the transportation parts information database 30, the trailer information database 32, the section information database 34, the loading / unloading time information database 36, and the logistics unit price information database 38. After that, all parts that need to be picked up in a day are collected, and the total transportation cost required is minimized. The loadable capacity of the trailer, the pick-up route that goes around the parts delivery base, and each part Search the relationship (transportation plan) of the “collection volume at the delivery site” and obtain the minimum total transportation cost (optimum total transportation cost). The optimization calculation method itself is known, and an existing technique can be used.
The calculated optimal minimum total transportation cost and the relationship (transportation plan) between “trailer volume / collection route / collection volume” are stored in the optimization calculation result information database 44.

  The logistics performance information database 46 in FIG. 1 stores information related to the current transportation of parts. Information related to parts transportation includes information on the types and number of parts to be transported, parts purchase bases, trailers used, collection routes, volume of parts collected by each trailer at each parts purchase base, total logistics costs, etc. .

The logistics cost prediction device 2 in FIG. 1 includes a new product parts logistics cost calculator 10. The new product parts logistics cost calculation unit 10 calculates the logistics cost required to collect the parts used for one new product based on the information in the optimization calculation result information database 44 and the logistics performance information database 46. calculate.
The calculated distribution cost is stored in the new product parts distribution cost database 48. The information in the new product parts distribution cost database 48 is treated as an element of the production cost (cost) of the new product, and is considered for determining the sales price of the new product when planning the sales of the new product.

Next, with reference to the flowchart of FIG. 13, the procedure of the new product parts distribution cost prediction process of the first embodiment executed by the distribution cost prediction apparatus 2 will be described. In this embodiment, for the product type A that is newly produced from the first week of April, the daily logistics cost required for transporting the parts used to produce one product type A is shown. Predict.
First, in step S2, the transport part information creation unit 4 executes transport part information creation processing. The transport part information is created based on information in the product production plan database 22, product type / part type information database 24, part / part purchase base information database 26, and box / part information database 28. The transportation parts information indicates how many parts are transported from which parts purchase base to which product production base. The created transport part information is stored in the transport part information database 30.
FIG. 6 shows a data configuration example of the transportation parts information database 30. Here, the transport part information for the first week of April is shown. For example, the part types α, β, δ are transported from the parts purchase base f1 to the product production base F1, and the parts purchase base f2 is shown. From the parts purchase base f3, the parts ε are transported.
The required number of parts is calculated by converting the number of products produced per week in the product production plan shown in FIG. 2 to the day, and multiplying the number of products produced per day by the number of parts used shown in FIG. Is required. For example, as shown in FIG. 3, four component types α are used for product type A and four for product type B. On the other hand, as shown in FIG. 2, in the first week of April, 4000 types of product type A are produced at the product production base F1, and therefore converted to 800 produced per day (working day 5 days / 1 week). Further, since 2000 product types B are produced at the product production base F1, it is converted that 400 products are produced per day. Therefore, the required number of part types α used at the product production base F1 per day is obtained as follows.
Number of products of product type A 800 x number of parts type α used + number of products of product type B 400 produced x number of parts type α used 4 = 4800 Also, the volume of the parts is obtained as described above. The required number of parts obtained is divided by the number of parts accommodated as shown in FIG. 5 to calculate the required number of boxes, and the calculated number of boxes is multiplied by the volume of the box. For example, as shown in FIG. 5, ten component types α are accommodated in a box B-01. As shown in FIG. 6, the required number of component types α is 4800. Therefore, it is calculated that only 4800 ÷ 10 = 480 boxes B-01 are necessary. Further, as shown in FIG. 5, the volume of the box B-01 is 0.05 m ³ . Therefore, the volume of the part type α used at the product production base F1 per day is obtained as follows.
480 × 0.05m ³ = 24.0m ³
When the volume of each part is determined in this way, the total volume of all parts transported from one part purchase base can be calculated. This total volume is shown in FIG. 6 as the volume per part purchase base (for example, 60.0 m ³ for the part purchase base f1). Further, when the volume per parts purchase base is obtained, the total volume of all parts transported to one product production base can be calculated. For example, the product production base F1 is shown as 100 m ³ .

FIG. 7 shows the volume for collecting parts used at the product production base F1 on the first week of April, when the product type A starts production, based on the transport parts information, and immediately before that. The example which compared typically the volume collected on the 1st of the 4th week of March is shown.
In (1), on the first day of the fourth week of ^March , it is necessary to pick up 48m ³ parts at the parts purchasing base f1 and 30m ³ parts at the parts purchasing base f3, whereas in (2) On the first day of the first week of April, product type A started production and a parts purchase base f3 was added. Therefore, 60 m ^{3 at} the parts purchase base f1, 20 m ^{3 at} the parts purchase base f2, it can be seen that there is a need to pick up the parts of 20m ³ in the input base f3.

When the above transported product information creation process is completed, next, in step S4 of FIG. 13, the optimization calculation unit 8 collects all parts that need to be collected in one day and minimizes the total transportation cost required. Search for the relationship (transportation plan) between the loadable volume of the trailer, the collection route that patrols the parts procurement base, and the volume of parts that are collected at each parts delivery base, and obtain the minimum total transportation cost .
Here, the restriction condition is that all parts that need to be collected are collected, and the total transportation cost required is the objective function, and the total transportation cost is minimized. The relationship between the collection route to be collected and the volume of the parts to be collected at each parts purchase base is obtained. In addition, a condition for minimizing the number of trailers to be used and a condition for minimizing the total travel distance or total travel time of the trailers to be used may be added. That is, it is possible to search using the total transportation cost as an evaluation function primarily and the number of trailers to be used, travel distance or travel time as an evaluation function secondarily.

  Various methods can be employed for the search. For example, restrictions on collecting all parts that need to be collected, restrictions on the upper limit (available number) and lower limit (0, ie, non-negative number) of the number of trailers, restrictions on the loadable capacity of the trailer and possible operating time Set as a condition. Then, all candidates for the relationship of “trailer volume / collection route / collection volume” that can be executed under these constraints are considered and the candidate with the minimum total transportation cost is adopted as the search result. Alternatively, by using a metaheuristic technique represented by a genetic algorithm, it is possible to search for a candidate having the lowest total transportation cost from a smaller number of candidates with high probability. In addition, an appropriate algorithm can be employed.

  The procedure of optimization calculation processing will be described in detail with reference to the flowchart of FIG. First, in step S402, each trailer is assigned to a location where placement is possible based on information in the trailer information database 32. For example, in FIG. 8, the locations where the trailer T001 can be arranged are F1, F2,..., And the trailer T001 is assigned to any of these locations.

Next, in step S404 of FIG. 14, the collection route for each trailer to circulate the parts purchase base and the volume of the parts to be collected at each parts purchase base are tentatively determined. For this provisional decision, information on the collection volume for each part purchase base in the transport parts information database 30 and information on the collection possible base and loadable volume of each trailer in the trailer information database 32 are used.
For example, as shown in FIG. 6, when transporting a total of 100 m ³ parts from the parts procurement bases f1, f2, and f3 to the product production base F1, three trailers T001, T003, and T005 can be used in FIG. Then, in order to transport 100 m ³ parts with the minimum number of trailers, a search is made for the relationship between which trailer should collect at which parts purchase base and how much. At this time, only a feasible relationship is searched for using the collection possible base of each trailer and the loadable volume as constraints.

In step S406 in FIG. 14, the travel distance and travel time of each trailer are calculated. Here, information on the travel distance and travel time of the section between the two bases in the section information database 34 is used. For example, when transporting by a collection route of product production base F1 → parts purchase base f1 → parts purchase base f2 → parts purchase base f3 → product production base F1, the travel distance is 60 km + 30 km + 40 km + 70 km = 200 km from FIG. Is calculated as 90 minutes + 45 minutes + 60 minutes + 70 minutes = 265 minutes.
In step S408, it is determined whether or not the provisional determination in step S404 is allowed based on the constraint condition of the trailer operating time. At this time, these conditions are taken into account by referring to the total traveling time calculated in step S406, the loading / unloading time information in the loading / unloading time database 36, and the like.
For example, in the case of the above collection route of product production base F1 → parts purchase base f1 → parts purchase base f2 → parts purchase base f3 → product production base F1, it is necessary to load and unload a total of 100 m ³ parts from FIG. There is. Parts specifications time required for the loading operation at the input base is 0.3 minutes / 1m ^3, when the time required for unloading work of the product production base is assumed to be 0.3 min / 1m ^3, the total product later required time It is calculated as 0.3 minutes × 100 m ³ (loading work) +0.3 minutes × 100 m ³ (unloading work) + = 60 minutes. Then, in order to transport by this collection route, total traveling time 265 minutes + total loading / unloading time 60 minutes = 325 minutes (5 hours 25 minutes) is required. Then, it is determined whether or not the trailer in charge of the collection route can operate for 6 hours or more. If a determination result of NO is obtained, the process returns to step S404 to execute provisional determination again. If the determination result of YES is obtained, the process proceeds to step S410.

In step S410 in FIG. 14, the total transportation cost is calculated. The total transportation cost is calculated based on the transportation company to which the use trailer tentatively determined in step S404 belongs and the number of vehicles, the travel distance of each trailer, and the transportation unit price information in the logistics unit price information database 38. For example, in the case of the above-described collection route of product production base F1 → parts purchase base f1 → parts purchase base f2 → parts purchase base f3 → product production base F1, as shown in FIG. has been using the trailer is the T001, T003, T001 will pick up the parts of 60m ³ with parts purchase base f1, and 20m ³ at the input base f2 T003 is specification parts, the parts of 20m ³ with parts purchase base f3 Suppose that it is tentatively decided to collect. Then, the total transportation cost is calculated as follows.
Higher cost:
5000 yen (T001) + 6000 yen (T003) = 11000 yen Mileage cost:
120 km x 170 yen (T003) + 150 km x 170 yen (T005)
= 45900 yen Highway cost:
= 2000 yen (F1 → f3)
Total transportation cost: 11,000 yen + 45900 yen + 2000 yen = 58900 yen Totaling the total transportation cost obtained in this way by the collection route from all product production bases, the total necessary to transport all parts Transportation costs are calculated.
In step S412 of FIG. 14, it is determined whether or not the transportation can be carried out with a transportation cost lower than the calculation results obtained so far. When a determination result of YES is obtained, the process proceeds to step S414, and is temporarily registered as an optimization calculation result. On the other hand, if a determination result of NO is obtained, the process proceeds to step S416.

  In step S416, the above-described series of processing is repeated until it is determined in step S416 that the set number of times has been reached while changing the location where the trailer is assigned in step S402. For example, if the trailer T001 is assigned to the product production base F1, the assignment is changed to the product production base F2, and a series of processing is repeated. If it is determined in step S416 that the set number of times has been reached, the obtained calculation result is adopted as the optimization calculation result in step S420. In the above optimization calculation processing, it is effective to use a genetic algorithm, and an optimal calculation result can be obtained even within the set number of times in step S416.

From the result of the optimization calculation process, the loadable volume of the trailer to be used, the collection route, and the collection volume at each parts delivery base are determined, and the minimum total transportation cost is obtained. These pieces of information are stored in the optimization calculation result information database 44.
FIG. 11 (2) shows a data configuration example of optimization calculation result information. The top row shows the total transportation cost minimized. Also, for example, the trailer starting from the product production base F1 has two trailers with a loadable volume of 75 m ³ , one of which belongs to company X and the other one belongs to company Y. Show. And that parts delivery base for collection of cargo volume in the f1 to X's trailer to pick up is a 60m ^3, parts delivery bases Y's trailer to pick up in the f3 → f2, collection volume is ^{20m 3, 20m} 3 each Is shown. Here, the relationship of “trailer volume / collection route / collection volume” that minimizes the total transportation cost is determined.

When the above optimization calculation processing is completed, in step S6 of FIG. 13, the new product parts distribution cost calculation unit 10 is necessary for transporting the parts used to produce one new product. Calculate logistics costs.
This logistics cost can be calculated by the following procedures (1) to (3).
(1) Calculate the total logistics costs after starting production of new products.
The total logistics cost here is the sum of the total transportation cost, total loading / unloading cost, and total management cost.
・ The total transportation cost is calculated in the above optimization calculation process.
The loading / unloading cost is obtained by multiplying the loading / unloading cost per part volume at the product production base (see FIG. 10 (2)) by the part volume used at the product production base (see FIG. 6). . For example, the loading / unloading cost of the product production base F1 is obtained as follows.
200 yen × 100 m ³ = 20000 yen The total loading / unloading cost is calculated by adding up the loading / unloading cost per product production base as described above at all product production bases.
The management cost is obtained by multiplying the management cost per part volume at the product production base (see FIG. 10 (3)) by the volume of parts produced at the product production base (see FIG. 6). For example, the management cost of the product production base F1 is obtained as follows.
400 yen × 100 m ³ = 40000 yen The total management cost is calculated by adding the management costs per product production base determined in this way at all product production bases.
The total logistics cost can be calculated by adding up the total transportation cost, total management cost, and total loading / unloading cost.
(2) Calculate the difference between the total logistics cost calculated in (1) and the total logistics cost before the start of production of the new product.
For example, as illustrated in FIG. 12B, the total logistics cost calculated in (1) is 5,800,000 yen, and as illustrated in (A), the total logistics cost before the start of production of the new product is 5,000,000 yen. If so, the difference is
Calculated as 5,800,000-5,000,000 = 800,000 yen.
(3) Divide the difference calculated in (2) by the number of new products produced to calculate the logistics costs required to transport the parts used to produce one new product.
For example, as illustrated in FIG. 2, the production number of the product type A in the first week of April is 5000 (4000 production at the product production base F1 + 1000 production at the product production base F2 = 5000) ), The number of production per day is 5000 pieces / 5 days = 1000 pieces. Accordingly, the distribution cost required to transport the parts used to produce one product type A is calculated as follows.
800,000 yen ÷ 1000 pieces = 800 yen

The distribution cost of the new product part calculated in this way is stored in the new product part distribution cost information database 48.
The stored logistics cost information for the new product is used to determine the sales price of the new product when planning the sales of the new product.

As described above, in this embodiment, the distance between bases increases due to the increase of bases, the loadable capacity of trailers to be used, the collection route, the volume of parts to be collected, the transportation company to which the trailer belongs, Calculate the total transportation cost considering various factors such as the type of road. In addition, the total transportation cost is calculated in consideration of not only new products but also the types of parts used in all products including existing products and the relationship between all purchase bases.
As a result, it is possible to accurately predict the distribution cost of the types of parts used in the new product from the sales planning stage of the new product, and to devise an effective sales strategy.

(Second embodiment)
In the second embodiment, a logistics cost prediction apparatus 102 shown in FIG. 15 is used. The physical distribution cost prediction apparatus 102 includes an optimization coefficient calculation unit 112. The new product parts distribution cost calculation unit 110 uses the optimization coefficient calculated by the optimization coefficient calculation unit 112 to calculate the distribution cost of parts for the new product. Since other configurations are the same as those in the first embodiment, a duplicate description is omitted.

FIG. 16 shows a flowchart of the procedure of the distribution cost prediction process executed by the distribution cost prediction apparatus 102. Here, the contents of step S12, step S16, and step S18 are different from those of the first embodiment. A duplicate description of the processing executed in the same manner as in the first embodiment will be omitted.
In step S12, the transport part information creation unit 104 creates transport part information. Here, not only the transport part information after starting the production of the new product but also the transport part information before starting the production of the new product are created. In the case of the product production plan illustrated in FIG. 2, not only the product production plan from the first week of April but also the respective transport part information is created based on the product production plan up to the fourth week of March. This creation process is executed in the same manner as step S2 of FIG. 13 in the first embodiment.
Next, in step S14 in FIG. 16, the optimization calculation unit 108 collects all the parts that need to be collected in one day after the start of production of the new product, and minimizes the total transportation cost required. The minimum total transportation cost is obtained by searching for the relationship between the loadable volume, the collection route that patrols the parts purchase site, and the volume of the parts that are collected at each purchase site. This calculation process is executed in the same manner as step S4 in FIG. 13 of the first embodiment.

In the subsequent step S16 of FIG. 16, the optimization coefficient calculation unit 112 calculates an optimization coefficient. Details of the procedure of the optimization coefficient calculation process are shown in the flowchart of FIG.
First, in step S162, “collect the trailer's loadable capacity and the parts purchase base that collects all the parts that need to be collected on the day before the start of production of the new product and minimizes the total transportation cost required”. The minimum total transportation cost is obtained by simulating the relationship between the collection route to circulate and the volume of parts to be collected at each parts purchase base. This calculation processing is executed in the same manner as the procedure shown in FIG. 14 (processing after starting production of a new product) of the first embodiment.
Next, in step S164 of FIG. 17, an optimization coefficient is calculated from (actual total physical distribution cost) / (total physical distribution cost by optimization simulation). For example, when the actual total logistics cost is 5,000,000 yen as shown on the left side of FIG. 18 (1) and the total logistics cost calculated in step S162 is 4,600,000 yen as shown on the right side, the optimization coefficient is 5,000,000. /4,600,000≈1.0867.

When the optimization coefficient is calculated in this way, it is necessary for the new product parts distribution cost calculation unit 110 to transport the parts used to produce one new product in step S18 of FIG. A reasonable logistics cost.
This logistics cost can be calculated by the following procedures (1) to (4).
(1) Calculate the total logistics costs after starting production of new products.
The total logistics cost here is the sum of the total transportation cost, total loading / unloading cost, and total management cost.
・ The total transportation cost is calculated in the above optimization calculation process.
The loading / unloading cost is obtained by multiplying the loading / unloading cost per part volume of the product production base by the part volume used at the product production base. The total loading / unloading cost is calculated by totaling the loading / unloading cost per product production base obtained in this way at all product production bases.
The management cost is obtained by multiplying the management cost per part volume at the product production base by the part volume produced at the product production base. The total management cost is calculated by totaling the management costs per product production base determined in this way at all product production bases.
(2) Calculate the difference between the total logistics cost calculated in (1) and the total logistics cost before the start of production of the new product.
For example, as illustrated in FIG. 18B, the total logistics cost calculated in (1) is 58,000,000 yen, and as illustrated in (A), the total logistics cost before the start of production of the new product is 50,000,000 yen. If so, the difference is
Calculated as 5,800,000-5,000,000 = 800,000 yen.
(3) The difference calculated in (2) is multiplied by an optimization coefficient.
Since the optimization coefficient is calculated as 1.0867 in step S164,
It is calculated as 800,000 yen x 1.0867 = 869,360 yen.
(4) Divide the value calculated in (3) by the number of new products produced to calculate the logistics costs required to transport the parts used to produce one new product.
For example, as illustrated in FIG. 2, the production number of the product type A in the first week of April is 5000 (4000 production at the product production base F1 + 1000 production at the product production base F2 = 5000) ), The number of production per day is 5000 pieces / 5 days = 1000 pieces. Accordingly, the distribution cost required to transport the parts used to produce one product type A is calculated as follows.
869,360 yen ÷ 1000 pieces = 869.36 yen

As described above, in this example, the new product started production in consideration of the difference between the actual logistics cost before the start of production of the new product and the logistics cost calculated by the optimization simulation. Predict future logistics costs.
In this way, it is possible to more accurately predict the logistics costs of the types of parts used in new products, by incorporating gaps that may occur between the logistics costs predicted by the optimization calculation and the actual logistics costs in advance. it can.

Specific examples of the present invention have been described in detail above, but these are merely examples and do not limit the scope of the claims. The technology described in the claims includes various modifications and changes of the specific examples illustrated above.
In the present embodiment, the predetermined logistics period is assumed to be one day, and the daily logistics cost is predicted, but the present invention is not limited to this. It is possible to predict logistics costs for a predetermined period of any length, such as per week, per month, per half year, per year.
-In this embodiment, a single trailer starts from one product production base, goes around the parts delivery base, and returns to the original product production base. However, the present invention is not limited to this. If the distribution cost is minimized, it is possible to target a route that unloads at another product production base before returning to the original product production base.
In this embodiment, the cost (mileage cost) required according to the travel distance is adopted as the unit price of the cost included in the transportation cost, but is not limited to this. You may employ | adopt the cost which requires according to travel time.
In addition, the technical elements described in the present specification or the drawings exhibit technical usefulness alone or in various combinations, and are not limited to the combinations described in the claims at the time of filing. In addition, the technology illustrated in the present specification or the drawings achieves a plurality of objects at the same time, and has technical utility by achieving one of the objects.

It is a figure which shows the system configuration | structure of a physical distribution cost prediction apparatus. It is a figure which shows the example of a data structure of a product production plan. It is a figure which shows the data structural example of product kind / part kind information. It is a figure which shows the example of a data structure of parts kind / purchasing base information. It is a figure which shows the data structural example of box / part kind information. It is a figure which shows the data structural example of transport parts information. It is a figure which shows the example which compared typically the volume collected on the 1st of the 1st week of April, and the volume collected on the 1st of the 4th week of March. It is a figure which shows the data structural example of trailer information. It is a figure which shows the data structural example of area information. It is a figure which shows the data structural example of physical distribution unit price information. It is a figure explaining calculation of a total transportation cost. It is a figure explaining calculation of the distribution cost required to transport the parts used to produce one new product. It is a flowchart which shows the procedure of the parts distribution cost prediction process for new products of 1st Example. It is a flowchart which shows the procedure of the optimization calculation process of 1st Example. It is a figure which shows the system configuration | structure of the physical distribution cost prediction apparatus of 2nd Example. It is a flowchart which shows the procedure of the distribution cost prediction process of 2nd Example. It is a flowchart which shows the procedure of the optimization coefficient calculation process of 2nd Example. It is a figure explaining calculation of an optimization coefficient. It is a figure explaining the transportation form delivered to a production base through several purchase bases.

Explanation of symbols

2: Logistics cost forecasting device,
4: Transportation parts information creation part,
6: Shortest path search unit,
8: Optimization calculation unit,
10: Parts distribution cost calculation department for new products,
22: Product production plan database,
24: Product type / part type information database,
26: Parts type / parts purchase base information database,
28: Box / part type information database,
30: Transportation parts information database,
32: Trailer information database,
34: Section information database,
36: Loading / unloading time information database,
38: Logistics unit price information database,
40: Base information database,
42: Map network information database,
44: Optimization calculation result information database,
46: Logistics results information database,
48: New product parts logistics cost information database

Claims (6)

It is a device that predicts the logistics costs necessary to transport parts used for new products that will start production from the purchase base to the production base.
A “Product Type / Production Number” database that stores the planned production number for each product type to be produced within a predetermined period after the start of production of a new product;
“Product type / part type / part quantity” database storing the part type and quantity required to produce the product for each product type;
“Part Type / Purchase Base” database that stores the purchase base of each part type,
"New product / production quantity / part type / part quantity / purchase location" information aggregation means for aggregating the parts types and quantities required to produce new products with the planned number of production and the purchase bases;
A database that stores information on “part type / part quantity / purchase location” currently being transported,
“New product / number of production / part type / part quantity / purchase base” information “part type / part quantity / purchase base” aggregated by information gathering means and the current “part type / part quantity / purchase base” A means of summarizing “part type / part quantity / purchase location” information after the start of production of the new product,
A means of planning a transportation plan indicating "transportation means / transportation quantity / transportation section" from "part type / part quantity / purchase base" information after the start of production of a new product;
A database that stores the unit price required to calculate the logistics costs from the means of transport, the quantity transported, and the transportation section;
A means to calculate the logistics costs required to carry out the planned transportation plan;
A means of searching for a transportation plan after the start of production of a new product with the lowest calculated logistics costs;
A database that stores the logistics costs currently spent on parts transportation,
By subtracting the current logistics cost from the minimum logistics cost after the start of production of the new product in the searched transportation plan by the planned number of new products, the parts group logistics cost per new product is reduced. Means for calculating;
Logistics cost forecasting device. There are multiple production bases,
Combine the information of “New product / Production quantity / Part type / Part quantity / Purchase base / Production base” with the current information of “Part type / Part quantity / Purchase base / Production base” to “Parts type / part quantity / purchase base / production base” information after production start,
2. The physical distribution cost prediction apparatus according to claim 1, wherein a transportation plan indicating “transportation means / transportation quantity / transportation section” after production of a new product is started based on the aggregated information.   3. The physical distribution according to claim 1 or 2, wherein the means for storing the calculated unit price of the physical distribution cost stores a basic unit price for each transportation means, a unit price depending on the transportation quantity, and a unit price depending on the transportation distance. Cost prediction device. In the logistics cost prediction device according to claim 1,
A means for drafting a transportation plan indicating “transport means / transport quantity / transport section” from the information of “part type / part quantity / purchase base” currently transported;
A means to calculate the logistics costs required to carry out the planned transportation plan;
A means of exploring current transportation plans that minimize calculated logistics costs;
A means of calculating the ratio of the minimum logistics cost found to the current logistics cost,
A means for correcting the distribution cost after the start of production of the new product by adding the ratio to the calculated minimum distribution cost after the start of production of the new product;
A means for calculating parts group logistics costs per new product from the logistics costs after the start of production of the modified new product;
Logistics cost forecasting device, characterized in that is added. This is a method of predicting the logistics costs necessary to transport a group of parts used for a new product to be newly produced from the purchase base to the production base.
“Product Type / Production Number” database that stores the planned number of production for each product type to be produced within a specified period after the start of production of the new product, and the part types required to produce the product for each product type "Product type / part type / part quantity" database that stores the quantity and the "part type / purchase base" database that stores the purchase base of the part for each part type, A process of aggregating information on “new product / production quantity / part type / part quantity / purchase location” information, which summarizes the parts types and quantities required to produce new products with the planned production quantity;
“New product / Production quantity / Part type / Part quantity / Purchase base” “Part type / Part quantity / Purchase base” aggregated in the information aggregation process and “Part type / part quantity / Summing up the information stored in the database that stores the information on the “Purchase Locations” and aggregating the “Part Type / Part Quantity / Purchase Location” information after the start of production of the new product;
A process of formulating a transportation plan indicating "transport means / transport quantity / transport section" from "part type / part quantity / purchase location" information after the start of production of a new product;
Calculating a logistics cost required to execute a planned transportation plan with reference to a database storing unit prices necessary to calculate a logistics cost from a transportation means, a transportation quantity, and a transportation section;
Searching for a transportation plan after the start of production of a new product with the lowest calculated logistics costs;
New product 1 by subtracting the current logistics cost stored in the database from the minimum logistics cost after the start of production of the new product in the searched transportation plan and dividing the reduced amount by the planned number of new products. A process of calculating the parts group logistics cost per unit,
Perform logistics cost forecasting method. A program for predicting the logistics costs required to transport a group of parts to be used for a new product to be newly produced from a purchase site to a production site.
“Product Type / Production Number” database that stores the planned number of production for each product type to be produced within a specified period after the start of production of the new product, and the part types required to produce the product for each product type "Product type / part type / part quantity" database that stores the quantity and the "part type / purchase base" database that stores the purchase base of the part for each part type, A process of aggregating information on “new product / production quantity / part type / part quantity / purchase location” information, which summarizes the parts type and quantity required to produce a new product with the planned production quantity,
“New product / Production quantity / Part type / Part quantity / Purchase base” “Part type / Part quantity / Purchase base” aggregated in the information aggregation process and “Part type / part quantity / The process of aggregating the information stored in the database that stores the information on the "Purchase Location" to aggregate the "Part Type / Part Quantity / Purchase Location" information after the start of production of the new product;
A process of formulating a transportation plan indicating "transport means / transport quantity / transport section" from "part type / part quantity / purchase location" information after the start of production of a new product;
A process of calculating a logistics cost required to execute a planned transportation plan with reference to a database storing unit prices required to calculate a logistics cost from a transportation means, a transportation quantity, and a transportation section;
The process of searching for a transportation plan after the start of production of a new product with the lowest calculated logistics costs;
New product 1 by subtracting the current logistics cost stored in the database from the minimum logistics cost after the start of production of the new product in the searched transportation plan and dividing the reduced amount by the planned number of new products. Processing to calculate the parts group logistics cost per unit,
Logistics cost forecasting program to execute.

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