JP4236172B2 - Multiple product mixed production method - Google Patents

Description

The present invention relates to a multiple varieties mixed production how, in particular, for example, the production according to the degree of difference between the model in production when the production mixed model of different cars in one production line constraints on production how you to determine the production order in consideration of the.

  2. Description of the Related Art In recent years, in the automobile production process, a technique has been adopted in which various types of automobiles with different models are mixed and produced on one production line. In the production of a wide variety of vehicles on a single production line, it is necessary to create a production plan for determining the production order of which types of vehicles to build in each order in each process on the production line. Production cannot be performed. In creating such a production order plan, the logic is determined in consideration of the production constraints relating to the various types of vehicles that are the production targets.

  Patent Document 1 is given as a prior art relating to production planning. As a production plan creation method disclosed in Patent Document 1, a configuration for performing a production plan based on a logic of “prioritizing a lot” is disclosed.

  When an automobile is produced, the time required for production varies depending on the specifications of the automobile to be produced. Therefore, a production plan is created so that there is no bias in production. In the production process of an automobile, there are cases where the production load (the man-hour load in each partial process of the production process) is high and low depending on the specifications of the automobile. Naturally, the time required for the production of a vehicle with a high production load becomes longer, and the time required for the production of a vehicle with a lower production load becomes shorter. Therefore, if only automobiles with a high production load are put together on the production line and continuously flowed, the burden on the operator becomes high, and the movement of the production line cannot be followed. On the other hand, if only cars with low production loads are flowed together on the production line, there will be a time when the operator does not work, and the production efficiency from the whole factory will not be increased. Therefore, by efficiently mixing automobiles with high production loads and automobiles with low production loads, the work efficiency is increased and the production plan is leveled. In this leveling, normally, production is prioritized from cars with high production frequency based on the past production history. However, in the case of a painting line or the like for which it is better to continuously produce automobiles of the same specification, it is not necessarily a desirable ranking.

Therefore, according to the production plan creation method of Patent Document 1, a concept of making a production plan using a logic of “priority of lots and keeping the lots from being destroyed” as a standard is proposed. Also in the production plan creation method according to Patent Document 1, products having different work man-hours are formed as lots for a plurality of types of vehicles, and the production order is determined so as not to destroy the lots. Production plans are made by leveling work so that it does not flow.
JP-A-10-180595

  The problem of the present invention is that, according to a conventional method for creating a production plan for automobiles, etc., in which a plurality of types of automobiles are mixed and produced on a single production line, the production load or man-hour load is mainly leveled out. I was planning to do production planning with logic. However, it is considered that an important guideline in the mixed production of production lines such as multiple types of automobiles is to improve production efficiency. In particular, the mixed production method for multiple types of automobiles, etc. is originally a production method designed to meet the customer's multifaceted product requirements. This is an extremely important factor in production planning in terms of contributing to shortening the number of days from ordering to delivery and further enhancing customer satisfaction.

In view of the above problems, the object of the present invention is to produce a model in the case where a plurality of automobiles of different models are mixedly produced in one production line in integrated production from welding to assembly in an automobile production plan or the like. production of constraints relating to the degree of difference between, or taking into account the optimal production order for the production process to determine the production order, increase production efficiency, multiple varieties mixed production was intended to increase customer satisfaction It is to provide a mETHODS.

More varieties mixed production how according to the present invention, in order to achieve the above object, configured as follows.

The first plurality varieties mixed production how (corresponding to claim 1) is a production how to produce a mix of car plurality varieties in one production line, it is produced by day planned each of the "models" of the automobile of all the multiple varieties, "equipment", the restriction that information about the type of "color" (the lineup information (information relating to all of the MTC)), can reduce the change loss on production between the varieties Under the terms, registered in the database in advance as product mutual varietal priority pattern, "model" of the registered, "equipment", "model varieties that produce the production day included in the type information of" color " ”,“ Equipment ”,“ color ”type information (MTC appearance table) and inter-product priority pattern, and a production order plan for each product type to be produced on the day of production is determined. Car Is a production how to. This production method is based on the constraint that the loss of change in the production of multiple types of cars can be reduced. The change of "vehicle type", "equipment", and "color" in one production line a step of priority level information enter the registration between, when producing a motor vehicle multiple varieties on the production line, the day production for automotive production order of the plurality varieties produced on the day production was registered "model ”,“ Equipment ”, and“ Color ”changes based on the priority information, calculate the priority between vehicles , repeat the priority calculation, and create each production order pattern for multiple types of vehicles Including the steps of:

The second plurality varieties mixed production method (corresponding to Claim 2), in the first way mentioned above, preferably, the production order on the basis of the actual production of the day before the day production stored in the actual production storage unit plan And a step of correcting the production ranking pattern based on the evaluation result.

Third plurality varieties mixed production method (corresponding to Claim 3), in each square method described above, preferably, the production ordering pattern is a table relating the priority level between the products of multiple varieties as a score.

  According to the present invention, when a plurality of types of automobiles are mixedly produced on one production line in the production of automobiles or the like, the production restriction on production on the day of production is created by the production ranking on the production day. Since the logic for determining the production order for each model was created, the production order was determined in consideration of the priority related to the degree of difference between the models in production, improving the production efficiency and increasing the customer satisfaction. Can be improved.

  DESCRIPTION OF EMBODIMENTS Preferred embodiments (examples) of the present invention will be described below with reference to the accompanying drawings.

Figure 1 shows a block diagram of a production planning system in which a plurality varieties mixed production how according to the present invention is implemented. In this embodiment, the target product produced by the production planning system 10 is an automobile. However, products production how according to the present invention is applied is not limited to an automobile.

  The database 11 stores a daily confirmed production plan for a specific target production factory. In the overall production planning system 10 shown in FIG. 1, a daily fixed production plan is prepared for each of a plurality of production lines in the production factory. As a premise of the production plan creation method according to the present invention, a multi-model mixed production method in which a plurality of types of automobiles are mixedly produced is implemented in the production line. In the database 11, regarding the mixed production of vehicles related to a plurality of models, a production plan determined for each day in the production line on the production day is stored as data a certain number of days before the production day (for example, three days ago). ing. Here, “determined” is numerical in the sense of confirming the number of production.

  The production plan creation method according to the present invention is premised on a method of producing a mixture of a plurality of models (plural types) of vehicles on one production line in a production factory. In this mixed production method involving multiple models of vehicles, the production order in the production plan is based on the viewpoint of which model can be produced most efficiently in what order (order). A plan is created. The production ranking plan is created on the day of production and is created daily.

  In the daily confirmed production plan prepared in the database 11, a model (“product” in the upper concept) that is produced with “day” as a unit, that is, MTC (type code) is clearly shown, and the number of production for each MTC is indicated. Yes. Here, “MTC” indicates various types of products, “M” means vehicle type, “T” means equipment, and “C” means color. Therefore, the MTC, that is, the type code of the product is determined based on the combination of the vehicle type, the equipment, and the color.

  The MTC appearance table creation unit 12 creates an MTC appearance table related to the production date on the production date or immediately before the production date based on the data of the daily confirmed production plan stored in the database 11. This MTC appearance creation table represents information related to MTC related to the production day in a list format. The MTC appearance table on the production day created by the MTC appearance table creation unit 12 is sent to the MTC-specific production order plan creation unit 13. The MTC appearance table is a data table used in the production order plan described later on the production day.

  The priority parameter input unit 14 for each MTC is a viewpoint of relevance between a plurality or a large number of MTCs (models) to be produced in a production plan, or the identity or similarity of production (or production) processes. Thus, it is a part that gives information or data related to the priority relationship (priority level) to the production planning system 10 based on the production constraint conditions. The production constraint is basically determined by the relationship based on the characteristics or attributes of each model. In addition, there may be a case where production restriction conditions are arbitrarily set according to the situation on the producer side or the situation of the customer. The priority parameter input unit for each MTC is operated by an operator of the department in charge, and is configured to give the priority order information and the like in the form of priority parameters (parameters or numerical values) based on the production constraints. Yes. The priority parameters (priority relationship information) input through the MTC-specific priority parameter input unit 14 are supplied to the MTC-specific production rank logic creation unit 15.

  The MTC-specific production order logic creating unit 15 sets and registers the priority parameters supplied from the MTC-specific priority parameter input unit 14. The production rank logic creation unit 15 for each MTC creates a priority pattern for each MTC using the provided priority parameters. Details of this MTC priority pattern will be described later. The MTC priority order pattern is a table that defines the degree of correlation based on the priority order among a plurality of MTCs, and is a table that represents the degree of correlation between MTCs at correlation points.

  The production order pattern for each MTC created by the production order logic creation unit 15 for each MTC is stored in the database 16. When the MTC-specific production order plan creation unit 13 creates a production order plan on the day of production, the MTC-specific production order plan creation unit 13 calls the MTC-specific production order pattern stored in the database 16.

  The MTC-specific production order plan creation unit 13 generates an MTC-specific production order plan for each production day (daily) from the MTC appearance table provided by the MTC appearance table creation unit 12 and the MTC. Created based on different production ranking patterns. The created MTC-specific production ranking plan is stored in the database 17. The production order plans for each MTC stored in the database 17 are created and stored for each production day, and the production orders for a plurality of models in the production line on the production day are determined based on the production order plans for each MTC. The production order of a plurality of models in the production line is determined from the viewpoint of production efficiency. The system element that provides this production order logic is the MTC-specific production order logic creation unit 15 described above.

  Block 18 is a production result accumulating unit. The production result accumulating unit 18 stores production result data in an arbitrary past period. The production performance is data that mixed production of a plurality of types of vehicles is performed based on what priority in the past actual production process. The MTC-specific production rank logic creating unit 15 that creates the MTC-specific production rank pattern, when creating the MTC-specific production rank pattern, stores the past arbitrary production results up to the previous day stored in the production result accumulation unit 18. It is also possible to use the production results and evaluate the production order plan created based on the priority parameters, and correct the production order pattern of the production models as necessary. In principle, the production order pattern is created based on the above-mentioned priority parameters in principle, but the actual production situation or the customer's request is achieved by feeding back the production results. It is intended to create a production ranking plan.

  Next, referring to FIG. 2 to FIG. 5, a description will be given of logic for creating a production rank pattern for each MTC (model) on the production day in the production planning system 10. Based on the production order pattern created according to the logic described below, the MTC-specific production order plan creation unit 13 creates an MTC-specific production order plan.

FIG. 2 shows the ranking of models (vehicle types) as the first hierarchy. In FIG. 2, the partial diagram 2A on the left illustrates the image of the production request from the sales company (automobile sales company) to the production factory, and the table 2B on the right side shows the production plan at the production factory in response to the sales company's production request. The example of a ranking based on the production ranking plan is shown. In the partial diagram 2A, the sales company receives an order from the customer and determines the production request model. In the figure, each of a large number of ellipsoidal graphic display objects 21 means a car for which an order contract has been confirmed, that is, a car for which a production request has been definitely issued to a car production factory. In the elliptical graphic display object 21, a code for specifying the model is shown. In this example, three types of models A, B, and C are roughly shown. Further, when the specifications (characteristics / attributes such as function and painting) are different even in the same model, the contents of the specifications are described in the graphic display object 21 as an example. In this illustrated example, car models A to C are shown. For model A, “2WD”, “4WD”, “white”, “red”, “yellow”, “black”, “S / R air conditioner present”, “S / R air conditioner absent”, “N / R” By specifying the specifications such as “with air conditioner”, the same model A is recognized as a different production object from the viewpoint of production order planning. Here, S / R is a symbol indicating that a sunroof is equipped, and N / R is a symbol indicating a standard roof that is not equipped with a sunroof.

When a production request is made to the production factory for the above-mentioned models A to C, a production plan is created in the production planning system 10 as described above, and a production ranking plan is further created. The first rule that determines the production order in the production order planning, based on the criterion of increasing the production efficiency, each forming a group to model A (2WD street, model A~C represented by Table 2 B in FIG. 2 4WD), model B (4WD, 2WD), model C ((4D, 2WD), (4D, 4WD)), model C ((5D, 4WD), (5D, 2WD))). In the example of FIG. 2, model A and model B have a common floor, and model C (4D) and model C (5D) have a common floor. In the ranking of models, each of the columns 31 to 38 of the table 2B is handled as a model. As is clear from the boundary between the columns 31 to 38 of the table 2B, the production order is changed according to the contents of the floor change, GW (welding machine) change, and GW / floor change when the production order of each model is changed. Is called.

It can most reduce the number of welding change by determining the order of the model with respect to production order as in the table 2 B, it is possible to reduce the welding change loss.

FIG. 3 shows the grouping in each of the models 31 to 38, which is the ranking of the second hierarchy . In this example, the grouping for the model in the column 31 of “model A 2WD” is shown. In the grouping, as shown in the table 40, first, A (domestic), B (export RH), C (export LH) are ranked in the order, and second, the paint colors (white, red, black) , Blue, silver, etc.) As a result, the columns 41 to 49 are ranked in the table 40, and a grouping of three groups 40A, 40B, and 40C is formed. By this grouping, color change loss in the painting process can be reduced.

FIG. 4 shows a summary of equipment (MT) in each group in each model 31 to 38, which is the ranking of the third hierarchy . In this example, the equipment summary of the group 40A relating to the model in the column 31 of “model A 2WD” is shown. As shown in the table 50, the classification by equipment summary assumes that it is A (domestic), and first ranks the order of paint colors (white, red, black, blue, silver, etc.). Second, N / R (normal roof) or S / R (sunroof) is used for ranking. As a result, the columns 51 to 56 are ranked in the table 50, and three groups of 50A, 50B, and 50C are formed. This grouping can reduce the assembly switching loss.

FIG. 5 shows the engine type summary in each of the equipment summaries of each group in each model 31 to 38 which is the ranking of the fourth hierarchy . In this example, the engine type summary of the equipment summary 50A of the group 40A relating to the model in the column 31 of “model A 2WD” is shown. As shown in the table 60, the classification based on the engine type is based on the assumption that the color is A (domestic) and white. First, the N / R or S / R ranks, and the second is the air conditioner. The ranking is based on presence or absence. As a result, the columns 61 to 64 are ranked in the table 60, and two groups 60A and 60B are formed. This grouping can reduce engine assembly switching loss.

  In accordance with the multiple models based on the first to fourth hierarchies described in FIGS. 2 to 5 and the ranking based on the specifications, the above-described production rank pattern for each MTC is formed, together with the MTC appearance table on the production day. A production ranking plan on the day of production is created.

  In FIG. 6, the priority between each of “model A 2WD”, “model A 4WD”, “model B 2WD”, “model B 4WD”, “model C 4D”, and “model C 5D” is given as a score. It is a table. The inter-model priority score table 71 corresponds to the above-described priority parameter. A priority degree score table 71 between models gives a priority degree in the order of production ranking. The models arranged in the vertical direction in the score table 71 are model examples in the case of being produced “front”, and the models arranged in the horizontal direction in the score table 71 are model examples in the case of being produced “after”. is there. When the numerical value of the score described in the score table 71 is small, the difference in production constraint conditions is small, that is, the change content is small and the priority is high. When the numerical value of the score described in the score table 71 is large, the difference in production constraint conditions is large, the content of the change is large, and the priority is low.

  In the score table 71 of FIG. 6, the numerical value of the score is different between the upper side and the lower side of the diagonal line, and the numerical value of the score in the lower region is larger than the numerical value of the score in the upper region. This means that even if the priority is between the same two models, the numerical value of the priority will change if the production order differs between “front” and “rear”. For example, a specific description will be given with an example of “model A 2WD” and “model A 4WD”. In model A, when 2WD is produced before and 4WD is produced later, the score is 100, whereas when 4WD is produced before and 2WD is produced later, the score is set to 200. ing. Basically, when producing 4WD model A, there is a process of adding jigs etc. to the line producing 2WD model A. From this point of view, 2WD is more than 4WD. It is known that the production efficiency is better when it is produced first. From the above, when setting the numerical value of the score related to the priority between models, even if it is between the same model, setting with consideration of before and after production, production ranking with better production efficiency It is possible to create a plan.

  FIG. 7 is a table in which the priority between each of a plurality of specifications in “Model A 2WD” is given as a score. The priority score table 81 in this model corresponds to the priority parameter described above. The priority level score table 81 in this model gives a priority level in the order of production ranking. The model / specification arranged in the vertical direction in the score table 81 is an example of a model produced when “front” is produced, and the model / specification arranged in the horizontal direction of the score table 81 is produced “after” This is a model example. When the numerical value of the score described in the score table 81 is small, the difference in production constraint conditions is small, that is, the change content is small and the priority is high. When the numerical value of the score described in the score table 81 is large, the difference in production constraint conditions is large, the content of the change is large, and the priority is low. In the score table 81, based on the same meaning as in the score table 71, the numerical value of the score is different between the upper side and the lower side of the diagonal line, and the numerical value of the score in the lower region is the score in the upper region. It is larger than the value of.

  The configurations and arrangement relationships described in the above embodiments are merely schematically shown to the extent that the present invention can be understood and implemented, and the present invention is not limited to the described embodiments. Various modifications can be made without departing from the scope of the technical idea shown in the claims.

  The present invention determines a production order in consideration of a production restriction condition related to the degree of difference between production models when a plurality of automobiles of different models are mixed in a single line, and a production plan It is used to increase the production efficiency of the customer and to increase the satisfaction level related to the delivery of the customer who placed the order.

1 is a block configuration diagram of a production planning system in which a production planning method according to the present invention is implemented. It is explanatory drawing explaining the ranking of the model which is the 1st hierarchy of ranking. It is explanatory drawing explaining the grouping which is the 2nd hierarchy of ranking. It is explanatory drawing explaining the equipment summary which is the 3rd hierarchy of ranking. It is explanatory drawing explaining the engine type summary which is the 4th hierarchy of ranking. It is a figure which shows an example of the model priority degree score table between models. It is a figure which shows an example of the model priority degree score table.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Production planning system 11 Daily production plan database 13 Production ranking plan creation part classified by MTC 14 Priority parameter input part classified by MTC 15 Production ranking logic creation part classified by MTC 16 Production ranking pattern database classified by MTC 17 Production ranking plan database 18 Production results accumulation Part

Claims (3)

Automotive plurality varieties a production how to produce by mixing in a single production line,
The "car type", "equipment", and "color" type information for each of the multiple types of automobiles planned to be produced on a daily basis is a constraint that can reduce production change loss between types. based, registered in the database in advance as product mutual varietal priority pattern, the registered "model", "equipment", the varieties that produce the production day included in the type information of "color", "model", A production order plan for each of the types to be produced on the day of production is determined according to the type information of “equipment” and “color”, and the inter-product priority pattern, and a plurality of types of the vehicles are produced based on the production order image. It is a production how,
Based on the constraint that change loss in the production of multiple types of automobiles can be reduced , priority is given to automobiles in terms of “car type” change, “equipment” change, and “color” change in the one production line. Entering and registering degree information;
When producing a plurality of types of vehicles on the production line, on the production day, a change in registered "vehicle type", a change in "equipment", regarding the production order of a plurality of types of vehicles produced on the production day , Calculating the priority between the vehicles based on the priority information about the change of "color", repeating the priority calculation, and creating each production rank pattern of the plurality of types of the vehicles ;
More varieties mixed production how, which comprises a. Evaluating the production ranking plan based on the production results up to the previous day of the production date stored in the production result accumulation means;
Correcting the production rank pattern according to the evaluation result;
More varieties mixed production how according to claim 1, characterized in that it further comprises a. The production order pattern, more varieties mixed production how according to claim 1 or 2, wherein it is a table relating the priority level among automobile plurality varieties as a score.

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