JP6115526B2 - Product collection plan creation method and product collection plan creation device - Google Patents

Description

  The present invention relates to a product collection plan creation method and a product collection plan creation device for creating a product collection plan for collecting plate steel products from a base coil.

  Conventionally, many techniques for creating a product collection plan for collecting one or a plurality of plate-like steel products from a base material coil that is an intermediate product in a cutting facility have been disclosed. For example, Patent Document 1 describes a technique for selecting a minimum base metal coil from which all products can be collected and searching for a pattern of width and length to be cut (cutting pattern) so as to maximize the yield. Yes. That is, in this technique, first, after securing the required quantity of products, a product collection plan is searched so as to maximize the yield. Patent Document 2 describes a technique for creating a manufacturing and sampling plan that minimizes the amount of use of the base metal coil and maximizes the yield while satisfying the required number of products.

  Here, it is necessary to stop the cutting equipment during the setup change work such as adjusting the width of the saw blade and adjusting the clearance of the upper and lower blades, which is necessary when changing the cutting width, which reduces the operating rate of the cutting equipment. End up. Therefore, Patent Document 3 describes a technique for collecting a product to be produced from an original fabric by reducing the number of setup change operations.

JP 2005-316878 A JP 09-174387 A JP-A-10-156621

  When collecting products to be produced from the base metal coil, considering multiple evaluation indicators such as improving yield, minimizing the number of setup change operations, and collecting products that must be collected (product removal) A product collection plan is created. However, in the techniques described in Patent Documents 1 and 2, the highest priority is given to yield improvement on the premise of product removal, but minimization of the number of setup change operations is not considered. On the other hand, in the technique described in Patent Document 3, the highest priority is given to minimizing the number of times of setup change work, so the yield improvement is second only.

  The present invention has been made in view of the above problems, and a product collection plan creation method and a product collection plan creation capable of creating a product collection plan by selecting a priority evaluation index according to environmental changes An object is to provide an apparatus.

In order to solve the above-described problems and achieve the object, the product sampling plan creation method according to the present invention is a product sampling plan creation method for creating a product sampling plan for sampling a product by cutting a base coil with a saw blade. The base material coil information including the width and the weight of the base material coil, the product information including the width, the delivery date and the required weight of the product, and the planning conditions for defining the conditions for creating the product collection plan A receiving step for receiving the input, and, based on the base material coil information, the product information, and the planning conditions, the width of one or a plurality of the products that can be simultaneously collected from the base material coil, and the number of strips of the width, An enumeration step for enumerating a combination of blade patterns, and collecting one or more products by associating one of the enumerated blade assembly patterns with each of the base material coils arranged in cutting order. A candidate creation step for creating a plan candidate, the yield of the product, the efficiency of the setup change work including replacement of the saw blade, and the base coil information including the presence / absence of collection of the product for which collection is essential, the product information, and Each of the product collection plan candidates is evaluated by an evaluation value obtained by weighting a plurality of evaluation indexes based on the planning conditions with a weighting factor that is changed according to a change in the environment, and the product evaluation plan with the highest evaluation is obtained. An adoption step for adopting the candidate as a product collection plan and an output step for outputting the adopted product collection plan are included.

The product collection plan creation device according to the present invention is a product collection plan creation device for creating a product collection plan for collecting a product by cutting a base material coil with a saw blade, and the width and weight of the base material coil Receiving means for receiving input of base material coil information including product information including product width, delivery date and required weight, and planning conditions defining conditions for creating the product collection plan, Enumerating means for enumerating blade group patterns combining one or a plurality of widths of the product and the number of strips of the width that can be simultaneously collected from the base coil based on the material coil information, the product information, and the planning conditions A candidate creating means for creating one or a plurality of product sampling plan candidates by associating one of the listed blade group patterns with each of the base material coils arranged in the cutting order; Remains, the stage replacement operation including replacement of the saw blade efficiency, and harvesting said base material coil information including whether the collection of the product is essential, a plurality of metrics based on the product information and the planning conditions, Employing means for evaluating each of the product collection plan candidates by using an evaluation value weighted with a weighting factor that is changed according to a change in environment, and adopting the product evaluation plan candidate with the highest evaluation as a product collection plan; And an output means for outputting the adopted product collection plan.

  According to the product collection plan creation method and product collection plan creation apparatus according to the present invention, it is possible to create a product collection plan by selecting an evaluation index that is given priority according to changes in the environment.

FIG. 1 is a schematic diagram showing a schematic configuration of a base coil cutting facility that is a target of a product collection plan created by a product collection plan creation system according to an embodiment of the present invention. FIG. 2 is a block diagram illustrating an example of the overall configuration of a product collection plan creation system according to an embodiment of the present invention. FIG. 3 is a diagram illustrating a data configuration of product information. FIG. 4 is a diagram illustrating a data configuration of base material coil information. FIG. 5 is a diagram exemplifying a data configuration of product collection plan planning conditions. FIG. 6 is a diagram illustrating a data configuration of work instruction information. FIG. 7 is a flowchart showing a flow of product collection plan creation processing according to an embodiment of the present invention. FIG. 8 is a flowchart showing the flow of the blade group pattern listing process. FIG. 9 is a diagram for explaining a procedure for searching for the best product collection plan from candidates for product collection plans. FIG. 10 is a diagram illustrating an example of a product collection plan candidate. FIG. 11 is a diagram illustrating an example of a product collection plan candidate.

  Hereinafter, with reference to the drawings, a configuration and operation of a product collection plan creation system according to an embodiment of the present invention will be described. In addition, this invention is not limited by this embodiment. Moreover, in description of drawing, the same code | symbol is attached | subjected and shown to the same part.

[Steel product cutting equipment]
First, with reference to FIG. 1, the cutting equipment of the plate-shaped steel product used as the object for which the product collection plan preparation system which is one Embodiment of this invention produces a product collection plan is demonstrated. As shown in FIG. 1, in the cutting equipment 1, one or a plurality of products 4 are simultaneously slit (cut) from one base material coil 2 by a plurality of saw blades 3 arranged in the width direction of the base material coil 2. It is wound up and collected. Here, the combination of the width of the product 4 collected at the same time and the number of strips of the width is referred to as a blade pattern.

[Product collection plan creation system configuration]
Next, with reference to FIG. 2, the structure of the product collection plan preparation system which is one Embodiment of this invention is demonstrated. As shown in FIG. 2, a product collection plan creation system 10 according to an embodiment of the present invention includes a product collection plan computer 11 as a product collection plan creation device, a terminal 12, and a database 13. The database 13 is connected to the product collection plan computer 11 so that data can be transmitted and received between them.

  The product collection plan computer 11 is constituted by an information processing device such as a workstation or a personal computer, and includes a CPU, various memories such as ROM and RAM such as flash memory that can be updated and recorded, and various recording media such as a hard disk and a CD-ROM. A recording device, a communication device, an output device such as a display device and a printing device, and an input device are included. The product collection plan computer 11 executes a product collection plan creation process, which will be described later, by executing a product collection plan creation program stored in a memory by an arithmetic processing unit such as a CPU in the information processing apparatus.

  The terminal 12 is realized by a personal computer or the like, for example, and performs data communication with the product collection plan computer 11 to display the result of the product collection plan creation process executed by the product collection plan computer 11.

  The database 13 records and manages data used for product collection plan creation processing. This database 13 includes product information shown in FIG. 3 described later, base metal coil information shown in FIG. 4, planning conditions shown in FIG. 5, and work instruction information shown in FIG.

  As shown in FIG. 3, the product information includes unique identification information (product ID) given to each requested product 4, and the delivery date, thickness, width, and required weight of the product 4 corresponding to the product ID. including.

  As shown in FIG. 4, the base material coil information includes unique identification information (base material coil ID) given to each base material coil 2 to be planned and the thickness of the base material coil 2 corresponding to the base material ID. , Including width, and weight.

  The planning condition defines the conditions for creating the product collection plan. As shown in FIG. 5, the blade group pattern width minimum value, the blade group pattern calculation pitch, the latest product removal date, the yield A weight coefficient, a setup change weight coefficient, and a product cut-off weight coefficient are included.

  Here, the blade pattern width means the entire width of the blade pattern, which is a combination of the width of the product 4 collected at the same time and the number of strips of the width. The blade group pattern width minimum value means the minimum value of the blade group pattern width to be calculated in the product sampling plan creation process described later. In the present embodiment, a value obtained by subtracting the requested maximum width of the product 4 from the minimum width of the base coil 2 to be planned is set.

  The blade pattern calculation pitch means the minimum value of the amount of adjustment of the blade pattern width to be calculated in the product sampling plan creation process. By adjusting the set value of the blade pattern calculation pitch, the calculation scale and calculation time in the product sampling plan creation process described later can be adjusted.

  The latest product withdrawal date means the latest date of the delivery date of the product 4 that must be incorporated into the product collection plan. The yield weight coefficient, the setup replacement weight coefficient, and the product cut-off weight coefficient are used for the best plan search process described later.

  The work instruction information means a product collection plan output by a result output process described later. As illustrated in FIG. 6, the base material coil ID, the width of the corresponding base material coil 2, the blade group pattern width, And the number of articles by width of the product 4 to be collected.

[Product collection plan creation process]
In the product collection plan creation system 10 having such a configuration, the product collection plan computer 11 executes a product collection plan creation process shown below, thereby creating a product collection plan in which the base material coil and the blade pattern are associated with each other. create. The operation of the product collection plan computer 11 when executing the product collection plan creation process will be described below with reference to the flowcharts shown in FIGS. The operation of the product collection plan computer 11 shown below is realized by the CPU executing a product collection plan creation program stored in the ROM.

  FIG. 7 is a flowchart showing a flow of product collection plan creation processing according to an embodiment of the present invention. As shown in FIG. 7, the product collection plan creation process of the present embodiment includes a data input process S1, a blade group pattern enumeration process S2, a base material coil aggregation process S3, a best plan search process S4, and a result output process S5. Consists of including. Note that the flowchart shown in FIG. 7 starts, for example, at the timing when the operator instructs the execution of the product collection plan creation process by operating the terminal 12, and the product collection plan creation process proceeds to step S1.

  In the process of step S <b> 1, the product collection plan computer 11 performs a data input process for receiving input of product information and base material coil information stored in the database 13. Using this product information and base coil information as a material source (planning target), a product collection plan is created by the following processing. Thereby, the process of step S1 is completed and a product collection plan preparation process progresses to the process of step S2.

  In the process of step S2, the product collection plan computer 11 performs a blade group pattern enumeration process for searching and enumerating a blade group pattern that is a combination of the width of the product 4 of the material source and the number of strips of the width.

  Specifically, the blade group pattern enumeration processing procedure will be described with reference to the flowchart shown in FIG. The flowchart shown in FIG. 8 starts at the timing when the process of step S1 is completed, and the blade group pattern enumeration process proceeds to the process of step S201.

  In the process of step S <b> 201, the product sampling plan computer 11 accepts input of the planning conditions stored in the database 13. Thereby, the process of step S201 is completed, and the blade group pattern enumeration process proceeds to the process of step S202.

  In the process of step S202, the product sampling plan computer 11 sets a range (minimum value and maximum value) of the blade pattern width to be calculated (searched). Specifically, the minimum value of the blade pattern width is set as the minimum value with reference to the planning condition. The maximum value is set to the maximum value of the width of the base coil 2 as the material source. Thereby, the process of step S202 is completed, and the blade group pattern enumeration process proceeds to the process of step S203.

  In the process of step S203, the product sampling plan computer 11 sets the minimum value set in the process of step S202 as the initial value of the blade group pattern width to be calculated. Thereby, the process of step S203 is completed, and the blade group pattern enumeration process proceeds to the process of step S204.

  In the process of step S204, the product collection plan computer 11 searches for a blade set pattern that matches the width of the blade set pattern to be calculated by combining the widths of the product 4 of the material source. If there is a blade group pattern that matches the blade group pattern width to be calculated (Yes in step S204), the product sampling plan computer 11 advances the blade group pattern enumeration process to the process in step S205, and such a blade group pattern is displayed. If not (No at Step S204), the blade group pattern listing process proceeds to the process at Step S206.

  In the process of step S205, the product collection plan computer 11 lists blade group patterns that match the blade group pattern width to be calculated. That is, the product sampling plan computer 11 adds those blade group patterns to the blade group pattern list stored in an appropriate storage area. Thereby, the process of step S205 is completed, and the blade group pattern enumeration process proceeds to the process of step S206.

  In the process of step S206, the product sampling plan computer 11 refers to the planning conditions and widens the blade pattern width to be calculated by the blade pattern calculation pitch. Thereby, the process of step S206 is completed, and the blade group pattern enumeration process proceeds to the process of step S207.

  In the process of step S207, the product sampling plan computer 11 checks whether or not the blade group pattern width to be calculated is larger than the maximum value set in the process of step S202. When the blade group pattern width to be calculated is equal to or less than the maximum value (step S207, No), the product sampling plan calculator 11 returns the blade group pattern listing process to the process of step S204. On the other hand, if the blade group pattern width to be calculated is larger than the maximum value (step S207, Yes), the product collection plan calculator 11 ends the series of blade group pattern listing processing.

  By the above blade group pattern enumeration process, the blade group patterns obtained by combining the width of the product 4 of the material source and the number of the strips are listed within a predetermined range of the blade group pattern width. Thereby, the process of step S2 (S201 to S207) is completed, and the product collection plan creation process proceeds to the process of step S3.

  For example, in the example shown in FIGS. 3 to 5, the minimum value of the blade group pattern width (see FIG. 5) is 680 mm (= 860 mm−180 mm). 180 mm × 1 strip + 125 mm × 4 strip ”. As described above, in the present embodiment, the minimum value of the blade group pattern width is a value obtained by subtracting the maximum value of the width of the product 4 of the material source from the minimum value of the width of the base coil 2 of the material source. . Accordingly, in the blade group pattern enumeration process, at least one blade group pattern can be listed in the process of expanding the blade group pattern width.

  In the process of step S3, the product sampling plan computer 11 associates the blade group patterns enumerated in the process of step S2 with the base coil 2 of the material source and creates a candidate for the product sampling plan to create a candidate for the product sampling plan. I do.

  For example, the product sampling plan computer 11 assigns one of the blade group patterns in the blade group pattern list enumerated in the process of step S2 to each base material coil 2 arranged in the cutting order. At that time, the product sampling plan computer 11 associates the products 4 with the strips of the blade group pattern assigned to each base material coil 2 in the order of early delivery, for example. It is made to correspond to the material coil 2. One product collection plan candidate is assigned to any of the base material coils 2 corresponding to the product 4 for which collection is essential.

  Here, if the blade assembly pattern of the base material coil 2 whose cutting order is different is different, a setup change operation occurs. Therefore, the product sampling plan computer 11 aggregates the base metal coils 2 for each blade assembly pattern so that the same blade assembly pattern is assigned as much as possible to the base material coils 2 having a continuous cutting order. At this time, the base material coil aggregation processing may include a blade group pattern order changing process for changing the cutting order of the base material coils so that the cutting order of the base material coils 2 to which the same blade set pattern is assigned continues. Thereby, the process of step S3 is completed, and the product collection plan creation process proceeds to the process of step S4.

  In the process of step S4, the product collection plan computer 11 performs a best plan search process for searching for the best one from the product collection plan candidates created in the process of step S3.

Specifically, the product collection plan computer 11 evaluates each product collection plan candidate created in the process of step S3 with a predetermined evaluation index, and adopts the best one as the product collection plan. As a result, the processing of step S4 is completed, the product collection planning process proceeds to step S5.

  FIG. 9 is a diagram for explaining a procedure for searching for the best product extraction plan candidate. In the example shown in FIG. 9, for each of the product sampling plan candidates for the six base metal coils 2, evaluation is performed by calculating a comprehensive evaluation value based on three evaluation indices of yield, setup change work efficiency, and product cut-off. doing.

  When calculating the evaluation index value, the product sampling plan calculator 11 uses the base material coil information such as the width and weight of each base material coil 2 and the product corresponding to the blade group pattern assigned to each base material coil 2. 4. Refer to product information such as the delivery date and required weight of each item.

  For example, the leftmost product collection plan candidate among the product collection plan candidates shown in FIG. 9 has the same blade group pattern assigned to all of the six base material coils 2. In this case, with respect to the yield, the yield increases if the widths of all the base metal coils 2 are the same. However, when there is a large difference in the width of each base material coil 2, the portion that does not become a product (width loss) increases, so the yield decreases, but no setup change work occurs. Becomes higher.

  On the other hand, the rightmost product collection plan candidate in FIG. 9 is different in all blade group patterns assigned to the six base metal coils 2. In this case, since the portion (width loss) that does not become a product can be minimized, the yield is increased, and a setup change operation occurs for each base material coil 2 (the number of setup change operations inside the triangle in FIG. 9). Therefore, the setup change efficiency is greatly reduced.

  For product withdrawal, the product sampling plan computer 11 refers to the latest date of product withdrawal in the planning conditions (see FIG. 5), and calculates an evaluation index value in comparison with the delivery date of each product. For example, when the latest date of product withdrawal is 20131125, according to the product information shown in FIG. On the other hand, three products 4 with product IDs A3002, A4001, and A4002 have a delivery date of 20131127, which is later than the latest date of product removal, and collection is not essential. For a product collection plan candidate including a product for which collection is not essential, the base material coil 2 is used more than necessary, so that the evaluation index value for product removal decreases.

  When calculating the evaluation index value, for example, in order to evaluate the setup change work efficiency on the same scale as the yield, the work cost of the cutting equipment 1 is obtained in advance, and the time required for the setup change work is the number of setup change operations. Multiply by (cutting equipment downtime) to calculate the cost increase due to opportunity loss.

  Further, by calculating a comprehensive evaluation value by applying a weighting factor to each evaluation index of yield, setup change work efficiency, and product removal, all of these evaluation indices can be handled simultaneously. By changing the weighting coefficient of each evaluation index, it is possible to evaluate various product collection plan candidates by selecting an evaluation index that has priority according to environmental changes.

  Note that the values set in the planning conditions are applied to the weighting factors (yield weighting factor, step change weighting factor, and product cut-off weighting factor) of each evaluation index. When setting the planning conditions, as illustrated in FIG. 5, by setting a very large value for the product removal weight coefficient, it is possible to handle the presence / absence of removal of the product that must be collected as a constraint condition. .

  The comprehensive evaluation value can be calculated by the following equation (1) as a weighted linear sum of each evaluation index, for example.

  The product sampling plan computer 11 adopts the one having the smallest overall evaluation value as the best product adoption plan with the highest evaluation.

  In the process of step S <b> 5, the product collection plan computer 11 performs a product collection plan output process for outputting the product collection plan to the display device of the terminal 12. The product collection plan computer 11 stores the product collection plan in the database 13 as work instruction information. Thereby, the process of step S5 is completed and a series of product collection plan preparation processes are complete | finished.

  As is clear from the above description, in the product collection plan creation process that is one embodiment of the present invention, the blade assembly patterns that combine the product widths and the number of strips of the widths are listed, and the blade assembly pattern One of them is associated with the base material coil 2 to create a product collection plan candidate. The product adoption plan candidate created here is evaluated on the basis of the yield and the evaluation indexes of the setup change work efficiency and the product removal, and the best product adoption plan is adopted. When evaluating each product adoption plan candidate, a comprehensive evaluation value is calculated based on a weighting factor for each evaluation index of yield, setup change work efficiency, and product cut-off, and all these evaluation indices are handled simultaneously. By changing the weighting coefficient of each evaluation index, various product collection plan candidates can be selected and evaluated according to changes in the environment, and the best product collection plan can be adopted. As a result, a product collection plan can be created by selecting an evaluation index to be given priority according to changes in the environment.

  Although the embodiment to which the invention made by the present inventor is applied has been described above, the present invention is not limited by the description and the drawings that form a part of the disclosure of the present invention. That is, other embodiments, examples, operational techniques, and the like made by those skilled in the art based on the present embodiment are all included in the scope of the present invention.

[Example]
FIG. 10 and FIG. 11 are diagrams illustrating examples of product collection plans created by the base material coil aggregation processing. Here, width loss is added. The width loss means the width of the portion of the base material coil 2 that does not become the product 4, and is expressed by the difference between the width of the base material coil 2 and the entire width of the blade assembly pattern, and is reflected in the yield.

  The product collection plan candidate shown in FIG. 10 is created with priority given to suppressing the decrease in the efficiency of the setup change work, and the yield is 88.2%, and the setup change work is performed once. It was. On the other hand, the product collection plan candidates shown in FIG. 11 were created with priority given to the improvement of the yield, the yield was 91.4%, and the setup change work was twice. Which of these two product collection plan candidates is adopted as the product collection plan can be controlled by the weighting coefficient of each evaluation index.

  Note that, in the above two product collection plan candidates, the collection of the product 4 that is indispensable for collection is realized, so the difference in the yield is the product that is not the collection essential product (the product ID of FIG. This is due to the collection of three products (A4001 and A4002).

  In this embodiment, when the operating rate of the cutting facility 1 is not sufficient, the product sampling plan candidate shown in FIG. 10 with high setup change work efficiency is adopted with emphasis on maximizing the operating rate of the cutting facility 1. . On the other hand, when there is a margin in the operating rate of the cutting equipment 1, priority is given to yield maximization and the product collection plan candidate shown in FIG. 11 with a high yield is adopted. As described above, according to the present example, it was confirmed that a product collection plan can be created by selecting a priority evaluation index from various product collection plan candidates according to environmental changes.

DESCRIPTION OF SYMBOLS 1 Cutting equipment 2 Base material coil 3 Saw blade 4 Product 10 Product collection plan preparation system 11 Product collection plan computer 12 Terminal 13 Database

Claims (5)

A product collection plan creation method for creating a product collection plan for collecting a product by cutting a base material coil with a saw blade,
Input of parent material coil information including the width and weight of the parent material coil, product information including the width, delivery date and required weight of the product, and a planning condition for defining conditions for creating the product collection plan A reception step for accepting,
Based on the base material coil information, the product information, and the planning conditions, a blade group pattern combining a width of one or a plurality of the products that can be simultaneously collected from the base material coil and the number of strips of the width is listed. An enumeration step;
A candidate creation step of creating one or a plurality of product sampling plan candidates by associating one of the listed blade set patterns with each of the base material coils arranged in a cutting order;
A plurality of evaluation indicators based on the yield of products, the efficiency of setup change work including replacement of saw blades, and the base coil information including the presence / absence of collection of products that must be collected, the product information, and the planning conditions Adopting step of evaluating each of the product collection plan candidates with the evaluation value weighted by the weighting coefficient changed according to the change of the environment, and adopting the product collection plan candidate with the highest evaluation as the product collection plan When,
An output step for outputting the adopted product collection plan;
A product collection plan creation method characterized by including:   The candidate creation step includes a replacement step in which the cutting order of the base material coil is changed to make the blade assembly patterns associated with the preceding and subsequent base material coils the same. How to create a product collection plan.   In the enumeration step, the minimum width value of the blade pattern that can be enumerated is a value obtained by subtracting the maximum value of the width of the product from the minimum value of the width of the base coil. Or the product collection plan creation method of 2.   In the candidate creation step, the evaluation based on the yield evaluation index is increased by reducing a difference in width of the base coil to which the same blade group pattern is associated. 4. The product collection plan creation method according to any one of 3 above. A product collection plan creation device for creating a product collection plan for collecting a product by cutting a base material coil with a saw blade,
Input of parent material coil information including the width and weight of the parent material coil, product information including the width, delivery date and required weight of the product, and a planning condition for defining conditions for creating the product collection plan Accepting means for accepting,
Based on the base material coil information, the product information, and the planning conditions, a blade group pattern combining a width of one or a plurality of the products that can be simultaneously collected from the base material coil and the number of strips of the width is listed. Enumeration means;
Candidate creation means for creating one or a plurality of product sampling plan candidates by associating one of the listed blade group patterns with each of the base material coils arranged in the cutting order;
A plurality of evaluation indicators based on the yield of products, the efficiency of setup change work including replacement of saw blades, and the base coil information including the presence / absence of collection of products that must be collected, the product information, and the planning conditions Adopting means for evaluating each of the product collection plan candidates with an evaluation value weighted with a weighting factor that is changed according to a change in the environment, and adopting the highest product collection plan candidate as the product collection plan When,
An output means for outputting the adopted product collection plan;
A product collection plan creation device characterized by comprising:

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