JP4686937B2 - System for determining the number of production by production base and specification - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a computer system for determining the number of productions according to specifications produced at each production base in order to produce the same type of product at a plurality of production bases.
The specification here refers to a fine type within the same type. For example, if there are a type 1 passenger car and a type 2 passenger car, and there is a type 1 passenger car with and without a roof window, the specifications differ depending on the presence or absence of the roof window.
[0002]
[Prior art]
For example, in the case of an automobile, the same type of product is shared by a plurality of production bases. In this case, the period required from the start of automobile production to delivery to the orderer varies from production site to production site. For example, if a Hokkaido dealer orders a car that is manufactured at either the Hokkaido factory or the Kyushu factory, the car manufactured at the Kyushu factory and transported to Hokkaido will be manufactured at the Hokkaido factory and transported to the Hokkaido dealer. It takes a long time. If the time to delivery is short, the Kyushu factory will not make it in time, and it will have to be manufactured at the Hokkaido factory.
When manufacturing the same type of product at a plurality of production bases, it is necessary to improve the total production efficiency of the production base group by rationally determining the ratio of the divisions. For this purpose, it is necessary to be able to determine the sharing ratio as freely as possible.
Therefore, at present, the demand is predicted by the orderer with enough time. In the case of the previous example, even if the Kyushu factory is to share the demand, the demand is predicted when it is still in time. If the demand is predicted at this point, it is possible to determine the optimum share in consideration of the production capacity and busyness of each production base.
[0003]
[Problems to be solved by the invention]
For efficient operation of production bases, it is necessary to predict demand at a point in time even if production is shared at the production base that takes the longest time from production start to delivery. On the other hand, if the period from the demand forecast to the delivery is long, it is difficult to make an important forecast accurately, and there is a possibility that the production does not meet the actual demand.
In particular, this problem becomes a big problem when determining the number of production by specification within a type. When the number of production by specification is determined according to the above schedule, it is possible to produce many specifications with low demand while producing few specifications with high demand.
It is necessary to determine the number of shared productions for each production site according to the above schedule, and it is difficult to change this thereafter, and if it is changed forcibly, the production efficiency is lowered. However, the number of production by specification can be changed until just before the start of production. For example, after a plan to produce one type of passenger car Y1 at production base A1 and Y2 production at production base A2 is confirmed, breakdown by specification of Y1 cars produced at production base A1 and production base It is possible to determine the breakdown by specification of the Y2 units produced at A2. If the breakdown by specification is determined by the time of actual production at the production site, not at the time of determining the number of shared production by production site, many specifications with low demand are produced and there is much demand. It is possible to avoid the occurrence of a situation in which the number of specifications is reduced.
[0004]
In the present invention, the determination of the number of shared production by production base is not limited by the period (for that purpose, the production base is separated at the point in time even from the production base where the period from the start of production to delivery is the longest. However, the purpose is to realize a computer system that can determine the number of production by specification based on accurate demand forecast at a later point in time. .
[0005]
Techniques for managing the progress from product production to sales are described, for example, in Japanese Patent Laid-Open Nos. 8-96045 and 8-137961.
This management technology divides the process from product production to sales into several processes. When an order is received from a customer, a production plan for the product is drawn up according to the received order, and production of the product is started based on the planned production plan. When the production of the product is started, the time at which the product has passed through the above-described steps is sequentially stored. According to this technology, it is possible to grasp the progress of production logistics activities from the planned transit time and the actual transit time. As a result, it is possible to take necessary measures such as raising the priority in the subsequent process for products whose progress is delayed, and it is possible to deliver the products within the delivery date.
[0006]
In addition, various management techniques for production logistics activities have been proposed, but none of the conventional techniques can solve the problem to be solved by the present invention. In other words, in production systems that share the same type of product at multiple production bases, the number of shared production by production base is determined at the point in time that the production period from the start of production to delivery is the longest. At that time, it is difficult to accurately forecast demand by specification at that time, and when the number of production by specification is determined at that time, many specifications with low demand are produced and specifications with high demand are produced. Since the production of a small amount frequently occurs, the problem of reducing the mismatch between production and demand for each specification is not solved by any conventional technology.
[0007]
[Means for Solving the Problems]
The computer system of the present invention created to solve the above-described problem has a configuration schematically shown in FIG.
This computer system is a production system in which products of the same type are divided and produced by a plurality of production bases A1, A2, A3, A4..., So that each production base A1, A2, A3, A4. Used to determine specifications D1, D2, D3, D4,..., Another production quantity to be produced (in the case of FIG. 1, the production quantity of the specification Dj produced at the production site Ai is indicated by Yij).
This computer system has a period file 54 in which a period required from the start of production to delivery to an orderer is stored for each production site. Table 56 schematically illustrates the storage contents of the period file 54, and stores that it takes Xij days from the start of production at the production site Ai to delivery to the orderer Bj. This file stores the longest period for each client. For example, the orderer of Bj stores a period from X1j to X4j for each production base, and the longest period among them is stored as Xj.
The orderer uses the ordering computer 42 to input the demand forecast number. In this case, the number of demands at the time before the longest period Xj is input. In the case where C days are required for the preparation process for determining the shared production number to be described later and preparing for the start of production, the number of demands at the previous time point is input by the number of days obtained by adding C days to the longest period Xj.
The demand forecast quantity 46 input from the ordering computer 42 is stored in the demand forecast file 48.
In this computer system, based on the stored contents of the demand forecast file 48, the number of shares to be produced is determined for each production site A1, A2, A3, A4,. Means 50 are provided, and this calculation means determines the number of production units Y1, Y2, Y3, Y4,. Various methods can be used for this calculation process. As an example, a calculation procedure can be adopted in which priority is given to the production base for the orderer and the order is allocated in descending order of priority. In this calculation, when a plurality of production bases are evaluated in total, a share ratio that can share production most efficiently is determined.
When the shared production numbers Y1, Y2, Y3, Y4,... For each production base are calculated, the planning means 60 uses the period file 54 to formulate a production logistics plan for each production base. An example of a production logistics plan for each production site that is planned in this manner is schematically illustrated in a schedule 64. The schedule 64 is a diagram of a production logistics plan that is planned when the orderer B1 inputs that demand for Y units is predicted after X days, and is produced at each production site according to the schematized schedule. It is illustrated that a plan has been made in which a total of Y units are delivered to the orderer B1 after X days after being transported in accordance with the schematized schedule. The planned production logistics plan for each production site is stored in the production logistics plan file 62.
The ordering computer 42 is provided with a display device 44. The display device 44 displays at least the specification finalization date 66 and the shared production quantity 70 for each production site for each production site. In addition to this, it is also possible to display a diagram 64 of the production distribution plan for each production base. The final specification date 66 is calculated from the production start date of the production distribution plan. If the specification has to be finalized by the day before the production start date, it is the day before the specification, and the specification is finalized on the production start date. If it should be, it is equal to the production start date.
The ordering computer 42 is provided with an input device 40, and the orderer confirms the displayed specifications by referring to the specification finalizing date 66 and the shared production quantity 70 for each production base displayed on the display device 44. The breakdown number Yij by specification of the shared production number 70 displayed by the last day 66 is input.
In this case, the orderer can determine the specifications day by day, and can accurately reflect the demand quantity for each specification in the production quantity.
In the figure, 74 shows an example of a display screen that is displayed when the shared production quantity Y2 of the production base A2 is distributed according to the specifications on the final date C2 of specification specification for the production base A2. As shown in the schedule 64, the final specification date C2 for the production site A2 is later than the final specification date C1 for the production site A1 and the final specification date C3 for the production site A3. Therefore, the production number Y11, Y12, Y13, Y14 by specification for the production site A1 and the production number Y31, Y32, Y33, Y34 by specification for the production site A3 From the screen, it is immediately understood that it is not necessary to determine the number of production by specification for the production base A4, and it is necessary to determine the number of production by specification for the production base A2 on the C2 day. The
In this case, the number of production by specification can be determined based on the demand after X21 days, and since this X21 day is shorter than the X day (demand forecast period), it is accurately known in the near future. Based on the information, it is possible to input the number of production by specification for the production base A2.
[0008]
The above-mentioned display device 44 is contrasted with specifications D1, D2, D3, D4,..., Specifications determined number α1, α2, α3, α4... And allocation determined numbers β1, β2, β3, β4. Are preferably displayed.
In the case of Table 74, when determining the number of production by specification for the production base A2 on the C2 day, the production bases A1 and A3 are already instructed to produce a total of α1 specifications D1, while delivery is scheduled. Among the products that have been manufactured, the specification D1 illustrates that β1 units have already been allocated to customers.
The orderer can relatively easily know the number of production by specification that is appropriate to be instructed from now on by comparing the production instructed number α and the assigned number β for each specification.
The orderer can also instruct production at the stage when the customer is confirmed (if the customer is confirmed before C2 day, the production instruction for the specification can be given on C2 day), or already It is also possible to assign a product that has not yet been assigned by the production instruction to the customer. If the production-instructed number α of the specification desired by the customer is larger than the allocated number β, it is possible to assign a production-instructed one instead of instructing a new production.
[0009]
It is preferable that the above-described display device 44 displays the production logistics plan prepared for each product and the actual progress in contrast. For each product, as shown schematically in 64, it is preferable that the planned production distribution schedule and actual progress are displayed in contrast.
In this case, it is possible to carry out a follow-up survey for each product and to perform necessary measures in a timely manner.
[0010]
DETAILED DESCRIPTION OF THE INVENTION
Hereinafter, an embodiment of the present invention will be described with reference to the drawings. In the following description, a case of an automobile will be described as an example of a product.
There are many types of specifications for automobiles due to differences in grades, colors, and optional equipment. Since specifications requested by customers vary greatly depending on the fashion, it is difficult to predict specifications requested by customers in advance.
However, with the recent globalization of production and sales bases, automobiles are produced by sharing production at production plants around the world, and there are some types of vehicles that are transported from these production plants to sales outlets around the world for sale. It is coming. The globalization of production bases and sales bases, depending on the combination of production factories and dealers, may lead to an extended distribution period from shipment from production factories to delivery to dealers. For this reason, if the demand forecast from the dealer is presented with a margin for the predetermined preparation period from the start of production at the production factory with the longest logistics period, the demand forecast is actually delivered to the dealer. It will be performed at a timing considerably before the time. For example, when a car produced in Japan is sold at an overseas dealership, it is necessary to forecast the demand four to five months before delivery to the dealership because a period of ocean transportation is required. . Therefore, there is a high possibility that the demand (especially specifications) predicted by the sales store is different from the specifications requested by the customer.
Therefore, the production logistics management system of the present embodiment described below performs demand forecast with a margin in time for the start of production at the production base with the longest logistics period, and the production volume by specification is later. It is possible to decide at the time.
[0011]
First, a description will be given of a production factory group that produces automobiles (the same type) to be managed by the production logistics management system according to the present embodiment, and a dealer group that sells automobiles produced in the production factory group. FIG. 2 shows the car supply relationship between production factories and dealers. Actually, there are many production factories and sales stores other than those shown in the figure, but the illustration is omitted here for the sake of simplicity.
As shown in FIG. 2, production factory A is in France, production factory B is in Turkey, production factory C is in Thailand, and production factory D is in Japan. The cars produced at each production factory are transported to a plurality of dealer groups (sales shop a, b). The dealer a is a French automobile dealer. Cars produced at the production factory A (France), the production factory B (Turkey), and the production factory D (Japan) are transported and delivered. Further, the dealer b is a Thai automobile dealer, and the cars produced at the production factory B (Turkey), the production factory C (Thailand), and the production factory D (Japan) are transported and delivered. Accordingly, the automobiles produced at a plurality of production factories are delivered to the dealer a and the dealer b.
[0012]
As mentioned above, automobiles are delivered to each dealership from multiple production factories. Therefore, the distribution route differs depending on the production factory, and the time required from delivery of the production factory to delivery to the dealership (distribution Lead time) will be different. FIG. 3 shows an outline flow from specification confirmation to arrival at a dealership a and a production factory A, a dealer a and a production factory B, and a dealer a and a production factory D.
As shown in FIG. 3, the specifications of the products produced at the production factory D (Japan factory) are determined only a predetermined day before the production start date (in this embodiment, the specifications are determined on the day before the production start date at all production plants). ) The specifications are finalized and production begins. When production at the production plant is completed, the cargo is first transported to the port for customs clearance. When customs clearance is completed, sea transportation is carried out and arrives at the port (France), customs clearance is carried out again, land transported, and arrival at the store.
For example, 3 days for production at production factory D, 1 day for land transportation from production factory D to port, 2 days for customs clearance in Japan, 52 days for maritime transportation, 2 days for customs clearance in France, 2 days from port Assuming that two days are required for land transportation to the store, production of the vehicle delivered to the French dealer a starts at the production factory D 62 days before the delivery date (3 + 1 + 2 + 52 + 2 + 2). Therefore, the specification of the vehicle delivered from the production factory D is fixed 63 days before the delivery date (eg, April 17) (eg, February 13).
[0013]
In the case of the production factory B (Turkish factory), as in the case of the production factory D (Japan factory), the specification arrives at the store a via specification confirmation → production → land transportation → customs clearance → sea transportation → customs clearance → land transportation. However, in the production factory B, the logistics lead time, particularly the maritime distance between the shipping port (Turkey) and the arrival port (France) is short, so the logistics lead time is shortened accordingly. Therefore, for vehicles produced at production plant D (Japan plant) and vehicles produced at production plant B (Turkish plant), production plant B (Turkish plant) even if delivered to dealer a on the same day. The specifications of the vehicle produced in the above are determined and production is started at a later time than the vehicle produced in the production factory D (Japan factory).
Specifically, for example, 3 days for production at production plant B, 2 days for land transportation from production plant B to the port, 2 days for customs clearance in Turkey, 34 days for maritime transportation, customs clearance in France 2 days and 2 days for land transportation from the port to the dealership, the vehicles delivered to the French dealership a will be produced at the production plant B 45 days before the delivery date (3 + 2 + 2 + 34 + 2 + 2). The Therefore, the specification of the vehicle delivered from the production factory B is determined 46 days before the delivery date (eg, April 17) (eg, March 2).
[0014]
On the other hand, in the case of the production factory A (French factory), since it is in the same country, customs clearance procedures and maritime transportation are not required, and vehicles produced at the production factory A are transported by land and delivered to the dealers when production is completed. . For example, if it takes 3 days for production at production factory A and 3 days for land transportation from production factory A, the vehicle delivered to dealer a starts production at production factory A six days before the delivery date. The Therefore, the specification of the vehicle delivered from the production factory A is determined 7 days before the delivery date (eg, April 17) (eg, April 10).
As is clear from the above description, even if the vehicle is delivered to the dealer on the same day, the production start date and the specification confirmation date will be different if the production factory to be produced is different. Therefore, from the point of view of the dealer, the time when the specification can be changed differs for each production factory.
[0015]
Hereinafter, the production distribution management system of this embodiment will be described in detail. FIG. 4 is a diagram showing a schematic configuration of the product distribution management system of the present embodiment. As shown in FIG. 4, the production logistics management system of this embodiment includes one order-receiving computer 10 installed at a head office and a plurality of dealer terminals 30 (ordering computers) installed at each dealer. It consists of. The order-receiving computer 10 and each store terminal 30 are connected so that data communication is possible.
[0016]
FIG. 5 shows a functional block diagram of the order-receiving computer 10 and the store terminal 30 (only one is shown). As shown in FIG. 5, the order-receiving computer 10 includes a demand forecast file 12, a period file 14, and a production distribution plan file 16.
The demand prediction file 12 stores the number of demand predictions input from each store terminal 30. Specifically, as shown in FIG. 6, the input store, the desired delivery date, and the number of orders are stored. In the example of FIG. 6, the French store a has a demand (order) of n1 units on the desired delivery date XJan Y1, and the Thai store b has a demand (order) of n2 units on the desired delivery date XFebruary Y2. An example is shown.
Here, the time when the demand forecast is input from the dealer terminal 30 can be determined based on the production factory that takes the longest production logistics period among the production factories that deliver cars to the dealer where the dealer terminal is installed. ing. Specifically, the production logistics period that is the longest from the desired delivery date is traced, and a predetermined period [preparation period for starting production logistics planning to start production (this embodiment) In this case, the demand forecast is input at a time point that goes back only three months). The case of the store a (France) in FIG. 3 will be described as an example. As is clear from FIG. 3, the production plant A (France), the production plant B (Turkey), and the production plant D that supply vehicles to the store a (Japan) The production factory with the longest production distribution period is the production factory D. Therefore, the store a goes back the desired delivery date for the production distribution period (for example, 62 days) required for delivery from the production plant D to the store a, and when it goes back three months from that date (request for delivery) The demand forecast is input about 5 months before the date). For example, a French store a inputs a demand forecast for mid-August in mid-March.
It should be noted that the timing for inputting the demand forecast from the store terminal 30 is different for each store. This is because the vehicles are delivered to each dealer from a plurality of different production factories, and the longest production distribution period varies depending on the dealer.
[0017]
The period file 14 stores, for each production site, the period required from the start of production until it is delivered to the store. 7 shows the production plant D (Japan) and the store a (France), the production plant B (Turkey) and the store a (France), the production plant A (France) and the store a described with reference to FIG. The period file for each of (France) is shown.
As is clear from FIG. 7, the period file 14 divides the process from the start of production in each production factory until it is delivered to the store into several processes, and stores the period required for each process. For example, when the product is produced at the production plant D (Japan) and delivered to the store a (France), it will be the body / painting period, assembly period, land transportation period, customs clearance period, sea transportation period, customs clearance period, and land transportation period. Standard passing days are stored. In addition, when it is produced at the production factory A (France) and delivered to the store a (France), since there is no need for a customs clearance period, a marine transportation period, etc., that part is not stored.
[0018]
The production distribution plan file 16 stores from the start of production of vehicles produced at the production factory to the scheduled delivery date to the dealer for each production factory. FIG. 8 shows an example of a production plan file for the production factory D (Japan). As shown in FIG. 8, the production distribution plan file 16 includes a destination, specification information, vehicle specifications, customer information, specification confirmation, and delivery to a dealer for each product (product ID) produced at the production factory. The scheduled time and the actual time are stored.
The destination is information indicating which dealer the production vehicle is for, and is determined when the shared production number calculation unit 20 (to be described later) determines the shared production number (production number by destination) of each production factory. The For example, in the example shown in FIG. 8, vehicles with product IDs 0001 and 0005 are produced for France, vehicles with product IDs 0002 and 0003 are produced for Japan, and vehicles with product ID 0004 are produced for the United States.
The specification information is information indicating whether or not the specification is fixed, and the vehicle specification is information indicating the specification (grade, option, etc.) of the product to be produced. Customer information is information indicating whether or not a customer is assigned to a product to be produced. In this embodiment, the specifications are basically fixed on the day before the production start date (start date). However, since the product to which the customer is assigned is the specification requested by the customer, from the day before the start date. Even before, “determined” is stored as the specification information. For example, the vehicle with the product ID 0001 shown in FIG. 8 is assigned the customer and the specification is confirmed even before the specification confirmation date (the specification information for other vehicles is “not yet”). “Confirmed” is stored in the column.
In addition, the production distribution plan file 16 stores a scheduled passage date for each process from product specification confirmation (production start) to delivery to a store. In other words, once the destination of a product is determined, the production logistics process from the start of production of the product to delivery to the dealer is determined. When the production logistics process is determined, the standard file passing period of each process of the production logistics process is known from the period file 14, and therefore the scheduled passing date of each process is calculated. Stored. The calculation of the scheduled passage period is performed by the production logistics planning means 22 described later.
Further, the production distribution plan file 16 stores the actual passage date corresponding to the expected passage date calculated for each process as described above. That is, when a product passes through each process, a product ID of the product passed through is transmitted from a terminal (not shown) installed in each process to the order-receiving computer 10, and the transmission date is stored as a passing result date. As a result, the progress of the product distribution process is managed.
[0019]
The order-receiving computer 10 further includes a demand prediction file update unit 18, a shared production number calculation unit 20, a production distribution plan planning unit 22, and a file search unit 24.
The demand prediction file updating means 18 stores the information in the demand prediction file 12 when the demand prediction (desired delivery date and the number of deliveries) is input from the store terminal 30. For example, when n1 orders are received from the dealer terminal 30 of the dealer a (France) on the desired delivery date X1 January Y1, the orders are stored in the demand forecast file 12 as shown in FIG.
[0020]
Based on the demand forecast (order) of each dealer stored in the demand prediction file 12, the shared production quantity calculation means 20 determines the production quantity for each dealer at each production factory (production quantity by destination). To do.
Specifically, in consideration of the distribution lead time from production factories to dealers, priorities are assigned to each production factory by dealer, and the demand forecast (order quantity) of each dealer is given priority. Allocate from the highest production factory. For example, when n orders (demand forecast) are received from the store a (France), the production of the n units is preferentially shared with the production factory A (France) where the distribution cost is lowest. If the production capacity of the production factory A (France) is insufficient, the production factory B (Turkey) with the next lowest distribution cost is assigned to the production factory D (Japan). Through these procedures, after allocating the number of production units at each production plant to satisfy the demands of all dealers, each production plant is readjusted so that the load at each production plant is leveled. Maximize factory production efficiency.
An example of the number of production by destination determined as described above is shown in FIG. 9 for production factory D (Japan) and production factory A (France). In the example shown in FIG. 9, production factory D (Japan) has a total production volume of 280 units per day, of which 20 units are for France, 20 units are for Thailand, 40 units are for the United States, and the remaining 200 units are domestic. Produced for (Japan). Production Factory A (France), like Production Factory D, has a total production of 280 units per day, of which 100 units are produced for the United Kingdom, 30 units for the United States, and 150 units for France. . Accordingly, in the example of FIG. 9, the car produced at the Japanese factory is not shipped to the UK, and the car produced at the French factory is not shipped to Thailand or Japan.
As is clear from the above explanation, the number of units produced by each production factory (production by destination) varies from production factory to production factory, and depends on the demand in each country (increase or decrease in demand for automobiles due to the booming economy or recession in each country). Will also vary. Depending on some production factories, vehicles (that is, vehicles for all dealers) may be produced without providing the number of production by destination.
[0021]
When the production distribution plan planning means 22 determines the production quantity by destination of each production factory (that is, the destination of the vehicle to be produced) by the above-mentioned shared production quantity calculation means 20, the production of vehicles produced at the factory is determined. Develop a production logistics plan from the start of delivery to delivery to dealers.
Specifically, since the destination of the vehicle produced at the production factory can be determined when the number of production by destination is determined, the distribution process after the factory shipment of the vehicle can be specified from the contents of the period file 14. Therefore, when the production start date of the vehicle is determined, the specification confirmation date, the scheduled completion date of painting, the scheduled line-off date,. These calculated scheduled dates are stored in the production distribution plan file 16. For example, it is assumed that production of a vehicle for a store a (France) starts at a production factory D (Japan) on February 14. Since the period required for each process of the vehicle is known from the period file 14 (see FIG. 7), the scheduled passage date of each process is calculated using the period stored in the period file 14. That is, the date of painting completion (for example, February 16) is calculated by adding the body / painting period to the production start date (for example, February 14). By adding the period of each process stored in the period file 14 in the following order, the scheduled passage date of each process is calculated, and finally the scheduled arrival date (for example, April 17) at the store a is calculated. calculate. In this embodiment, since the day before the production start date is the specification confirmation date, the specification confirmation date (for example, February 13) is calculated from this. The estimated passage date of each process calculated in this way is stored in the production distribution plan file 16 (see FIG. 8).
[0022]
The file search means 24 searches the production logistics plan file 16 for a corresponding vehicle when a search condition (for example, a store arrival date) is input from a store terminal 30 described later.
[0023]
The store terminal 30 connected to the order-receiving computer 10 configured as described above is configured by, for example, a general-purpose computer. The dealer terminal 30 includes an input device 32 for inputting search conditions and the like, a display device 36 for displaying search results, and data processing means 34 for transmitting and receiving data to and from the order-receiving computer 10.
The input device 32 is a keyboard, a mouse, or the like, and is a device for inputting a search condition or the like when searching for the demand forecast or the production distribution plan file 16 already described. The display device 36 is a device that displays the results searched by the file search means 24 described above. In addition, the data processing unit 34 transmits the input information to the order-receiving computer 10 and receives the data transmitted from the order-receiving computer 10 to display an image on the display device 36.
[0024]
Next, the operation of the production distribution management system configured as described above will be described. First, a procedure when a production distribution plan is drawn up by the order-receiving computer 10 will be described with reference to a flowchart shown in FIG. The production logistics plan by the order-receiving computer 10 is made every predetermined period (for example, every week), and a production logistics plan is made for the vehicle that has received an order after the last production logistics plan.
The order-receiving computer 10 first calculates the total demand (total number of orders) for each store from the data stored in the demand prediction file 12 (step S1). That is, the orders from each store stored in the demand prediction file 12 are totaled for each store. For example, when a plurality of orders are stored in the demand forecast file 12 from the same store, the total number of orders is calculated by counting the number of orders. In addition, since the data totaled in step S1 and incorporated in the production plan is cleared, it is not processed in the production logistics plan planning process in the subsequent cycle.
In step S2, based on the total order quantity calculated for each store by the processing in step S1, the shared production quantity calculation means 20 calculates the production quantity for each destination in each production factory. Through this process, each production factory is provided with a production frame for each destination (see FIG. 9), and the destination of each vehicle produced at each production factory is determined.
In step S3, the destination of the vehicle to be produced at each production factory is determined based on the number of production by destination determined by the processing in step S2, and each period from the start of production to delivery to the dealer is referred to with reference to the period file 14. The scheduled date for passing the process is calculated.
For all vehicles produced in the production factory group, when the scheduled date of passage of each process is calculated and a production logistics plan is drawn up, the production logistics plan file 16 (see FIG. 8) (step S4).
As is clear from what has already been described, although the destination of a vehicle for which a new production logistics plan has been formulated by the above-described processing has been determined, specific specifications have not been determined. Specific specifications are instructed from the store terminal 30 by the specification confirmation date.
[0025]
Next, an example of a procedure for instructing specifications for a vehicle stored in the production distribution plan file 16 using the store terminal 30 will be described with reference to a flowchart shown in FIG.
In step S <b> 10, the store inputs the store arrival date from the input device 32 as a search condition for searching the production distribution plan file 16.
When the store arrival date is input, the input store arrival date (search condition) is transmitted from the store terminal 30 to the order-receiving computer 10 (step S12). Simultaneously with the transmission of the search condition in step S12, the store ID information is also transmitted to the order-receiving computer 10. Thereby, the order-receiving computer 10 recognizes from which store the search request is received.
[0026]
In step S14, the file search means 24 of the order-receiving computer 10 changes the store that is stored in the production distribution plan file 16 to the store on the date of arrival at the input store. Search for vehicles that will arrive.
Specifically, first, the vehicles stored in the production distribution plan file 16 whose destination is the dealer are extracted, and further, the searched vehicles are sent to the dealer. Are extracted when the estimated arrival date is the arrival date of the store. For example, the store arrival date is input as April 17 from the store terminal 30 installed in the store a (France), and the production distribution plan file 16 [production distribution plan of the production factory D (Japan) shown in FIG. Consider the case of searching for [file]. In this case, the vehicle stored in the production distribution plan file 16 and having the store a as the destination and the planned store arrival date on April 17 is the vehicle having the product ID 0001,0005,. Therefore, the file search means 24 extracts these vehicles. Actually, the vehicle destined for the dealer a is also produced at the production factory A (France) and the production factory B (Turkey). Accordingly, when the production distribution plan files 16 of these production factories are also searched, the vehicles produced at these production factories are also extracted.
[0027]
When the search process in step S14 is completed, the search result is output from the order-receiving computer 10 to the store terminal 30 (step S16). When the store terminal 30 receives the search result output from the order-receiving computer 10, the received search result is displayed on the display device 36 (step S18).
For example, when April 17 is input from the above-mentioned store a as the store arrival date, a search result as shown in FIG. In FIG. 12, the vehicles scheduled to be delivered to the store a (France) on April 17 are three from the production plant A (France), two from the production plant B (Turkey), and the production plant D (Japan). It is shown that there are two units. Also, the specification confirmation date (April 10) for vehicles produced at production plant A (France), the specification confirmation date (March 2) for vehicles produced at production plant B (Turkey), and the production plant The specification confirmation date (February 13) of the vehicle produced in D (Japan) is displayed. Therefore, the dealer a knows that the specifications of the three vehicles produced at the production plant D (France) should be finalized by April 11, and the two vehicles produced at the production plant B (Turkey). It is understood that it is sufficient to finalize the specifications by March 2 for the vehicle of No.2 and that the specifications should be confirmed by February 13 for the two vehicles produced at the production plant D (Japan). I understand. For this reason, the store a (France) has only to determine the specifications in order by the above-mentioned specification determination date that varies depending on the production factory. At this time, the display device 36 also displays specification information as to whether or not the specification has been confirmed and customer information as to whether or not a customer is assigned, so whether or not the vehicle can instruct the specification. It is possible to know whether the vehicle can be assigned a customer.
In addition, for vehicles whose specifications have been determined from the specification information and customer information but whose customers have not yet been determined (that is, vehicles for which no customer has been assigned by the specification determination date), the dealers will arrive until the dealer arrives. Customers can be assigned by the terminal 30. Furthermore, as shown in FIG. 12, since the scheduled passage date and the actual passage date are shown together, it is possible to know to what stage the product has been completed, etc. Can respond to.
In addition, when a corresponding vehicle is not searched, the display device 36 displays that the corresponding vehicle has not been searched.
[0028]
Since the search result is displayed on the display device 36 in step S18, the dealer a (sales staff of the dealer, etc.) assigns a customer to the vehicle displayed on the display screen using the input device 32, and the specification. Is instructed (step S20).
When customer assignment or confirmed specifications are instructed in step S20, the information is transmitted from the dealer terminal 30 to the order receiving computer 10 (step S22), and the order receiving computer 10 generates a production distribution plan file based on the information. 16 is updated (step S24).
[0029]
The procedure of customer assignment and specification input using the store terminal 30 described with reference to the flowchart of FIG. 11 is merely an example, and the store performs customer assignment and specification input by various methods. Can do. For example, the dealer arrival date and the specification confirmation date (which can also be entered as a period) are input from the dealer terminal, and only the vehicles whose specifications are not confirmed are searched, and the customer assignment / specification input is performed. good. At the same time, the number of productions whose specifications are confirmed among the vehicles that arrive at the dealer on the date of arrival at the dealer's arrival date and the number of productions to which the customer is assigned are displayed by specification. It is preferable. Thus, when the number of specifications determined and the number of customers allocated are displayed for each specification, since the vehicle with the specification that is surplus at that time is known, the dealer can instruct the specification by referring to this information .
In addition, for a vehicle to which a customer is assigned and the specification is fixed, a specification change request is received from the customer, and the specification can be changed if the request is before the specification determination date.
[0030]
As is apparent from the above description, the production logistics management system of the present embodiment formulates a production logistics plan in which only the product destination is determined based on the demand forecast presented by the dealer. Then, the dealer can instruct the product specifications by the specification confirmation date determined for each production factory. In other words, it is not necessary to determine vehicle specifications at the time of demand forecast presented by the dealer, and the specifications of the product to be produced may be performed by the specification confirmation date. Therefore, even if the demand forecast is made at a time well before the actual delivery to the dealer, the specifications can be made by the specification confirmation date close to the delivery date to the dealer. It becomes easy to match the actual customer's request.
Further, as is clear from the above description, customer assignment and specification instructions by a dealer are limited to vehicles destined for the dealer. For this reason, the number of shares of the production distribution plan designed to maximize the production distribution efficiency is not changed by the subsequent customer allocation or specification change.
Furthermore, when the production logistics management system of this embodiment is used, the scheduled date and actual date of each process from product production to delivery to the dealer are displayed, so the actual date is delayed from the scheduled date of passage. For those that are, it is possible to contribute to adherence to the delivery date by raising the priority in the subsequent processes.
[0031]
The preferred embodiment of the present invention has been described in detail above, but this is only an example, and the present invention can be implemented in various modifications and improvements based on the knowledge of those skilled in the art.
For example, in the above-described embodiment, each production factory / sales store is an example in each country of the world. However, the present invention is not limited to such a case, and when there are a plurality of production factories / sales stores in various parts of the country. Can also be applied. That is, the system of the present invention can be applied even when there are production factories that produce the same type of product in various parts of Japan, and there are a plurality of dealers that sell products produced in these production factories. . Even in this case, the specification process date of the product will be presented in consideration of the logistics process from each production factory to each dealer, so the product specifications will be instructed based on the forecast in the near future for each production factory. can do.
Further, in the above-described embodiment, the shared production quantity and production distribution plan of each production factory are made by the order-receiving computer, but the present invention is not limited to such an example. For example, determination of the number of shared productions at each production factory is performed by one computer. Then, the management computer installed in each production factory based on the shared production number determined by this computer creates a production logistics plan for the products produced in the production factory (creates a production logistics plan file). In the case of such a configuration, the dealer terminal searches for a vehicle whose destination is the dealer by individually accessing the production distribution plan file of each production factory.
[0032]
It should be noted that the technical elements described in this 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 exemplified in this specification or the drawings achieves a plurality of objects at the same time, and has technical utility by achieving one of the objects.
[Brief description of the drawings]
FIG. 1 is a diagram showing an outline of a computer system of the present invention.
FIG. 2 is a diagram showing a relationship between a production factory that produces a product (automobile) to be managed by the production distribution management system of the present embodiment and a dealer that sells the product produced at the production factory.
FIG. 3 is a diagram showing a schematic flow from specification confirmation in a production factory to delivery of a product to a store.
FIG. 4 is a diagram showing a schematic configuration of a product distribution management system of the present embodiment.
FIG. 5 is a functional block diagram of the product distribution management system of the present embodiment.
FIG. 6 is a diagram showing the contents of a demand forecast file.
FIG. 7 is a diagram showing the contents of a period file.
FIG. 8 is a diagram showing the contents of a production distribution plan file.
FIG. 9 is a diagram illustrating an example of the number of production by destination set in a production factory.
FIG. 10 is a flowchart showing a procedure of production logistics planning processing by an order-receiving computer.
FIG. 11 is a flowchart showing a procedure for assigning a customer using a store terminal.
FIG. 12 is a diagram showing an example of a search result displayed on a store terminal.
[Explanation of symbols]
10. Order-receiving computer
12. Demand forecast file
14. Period file
16. Production logistics plan file
18. Demand forecast file update means
20 ·· Shared production number calculation means
22. ・ Production logistics planning means
24 .. File search means
30. Dealer terminal
32. Input device
36..Display device

Claims (3)

It is a computer system for determining the number of production by specification to be produced at each production base for production systems that share the same type of product at multiple production bases.
A period file that stores the time required from the start of production to delivery to the orderer for each production site,
A demand forecast file that inputs the number of demand forecasts for that type of product at a point beyond the longest period stored in the period file;
Based on the stored contents of the demand prediction file, a shared production number calculation means for determining the number of shared production for each production base,
Using the calculated production volume and period file for each production site, creating a production logistics plan for each production site,
A display device that displays the final date of specification specification for each production site determined from the planned production logistics plan for each production site and the number of shared production for each production site;
A means for referring to the final specification confirmation date and the number of production units for each production base displayed, and for inputting the breakdown number by specification of the shared production units displayed up to the displayed final specification date;
A computer system for determining production bases and production quantities by specification. 2. The computer system according to claim 1, wherein the number of specifications determined and the number of determined allocations are displayed on the display device for each specification. 2. The computer system according to claim 1, wherein the display device displays a product distribution plan designed for each product and an actual progress status.

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