JP2008112212A - Manufacturing lot integration support system, manufacturing lot integration support method, computer program and computer-readable recording medium - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a method for supporting an optimum quick decision of lot integration for manufacturing for orders for a plurality of products of different manufacturing specifications in the same manufacturing lot, in terms of one or more evaluation index values. <P>SOLUTION: The method has an evaluation index calculation model creation and retention step (S201) of creating and retaining models of calculating one or more evaluation indices representing requests for production, a production schedule input step (S202) of inputting data on a production schedule of products, an evaluation function input and retention step (S203) of reading in and retaining an evaluation function describing requests for lot integration in the form of a function of the evaluation indices, an optimum manufacturing lot integration decision step (S204) of deciding lot integration by optimization calculations minimizing or maximizing the value of the evaluation function for the product production schedule, and an output step (S205) of outputting the decided lot integration result. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a production lot aggregation support system and the like, and makes it possible to quickly determine, under optimum conditions, lot aggregation for processing orders related to a plurality of products having different production specifications with the same production lot. Regarding technology.

  Generally, when a product is manufactured in a manufacturing factory, a manufacturing specification in a manufacturing process is determined based on a specification required by a customer for the product. In general, if the required specifications are different, the manufacturing specifications are also different. For example, when manufacturing steel products at a steel manufacturing plant, in order to satisfy the tensile strength, ductility, toughness, etc. required by customers, the component values in the refining process and the heat treatment process It is necessary to design various manufacturing specifications such as heating temperature and heating rate to appropriate values.

  When manufacturing products with different manufacturing specifications, it is necessary to change the manufacturing conditions in the manufacturing process according to each manufacturing specification. Therefore, products with different manufacturing specifications can be manufactured simultaneously or in the same manufacturing facility. It is generally not possible to process continuously without changing the operating conditions in the equipment. However, if the value of the manufacturing specification has an allowable range specified by the upper limit value and the lower limit value, the part where the allowable range overlaps for the orders related to multiple products with different manufacturing specifications shall be the manufacturing specification of the multiple order. Thus, it is possible to process the same manufacturing facility at the same time or continuously in the same manufacturing facility without changing the operating conditions (that is, as the same lot). In this way, collecting a plurality of products having different production specifications into the same lot is called production lot aggregation (or lot aggregation).

  For example, in the refining process in a steel manufacturing factory, if there are overlaps in the allowable ranges of these components for a plurality of products with different specification values of each component element such as carbon, manganese, etc., the overlapping parts are said to be With this manufacturing specification, the refining process can be performed simultaneously in the converter facility, that is, with the same charge. Hereinafter, a group of products that can be refined with the same charge is referred to as a steel output group, and an operation for grouping products to be manufactured into a plurality of steel output groups is referred to as a steel output grouping.

  A plurality of products belonging to the same steel production group can be refined with the same charge as long as they are within the limit capacity of one charge, but of course, they can be refined separately into different charges. Similarly, even if it is a plurality of products with different specifications of manufacturing specifications related to annealing, which is a kind of heat treatment for steel products, if there are overlapping parts in the specified range, the overlapping parts are made into the manufacturing specifications of the plurality of products, It is possible to continuously process the same production lot without changing the operating conditions of the annealing furnace.

  When a plurality of products are aggregated in the same lot as described above, the larger the size of the lot, that is, the number of products included in one lot, the more the production throughput (the maximum manufacturable amount per unit time) is improved. In general, the manufacturing cost is also reduced.

  On the other hand, the larger the lot size, the narrower the overlapping width of the manufacturing specifications, and it is generally more difficult to control the manufacturing equipment and focus on that range. Therefore, the larger the size of the production lot, the better. It is desirable that the lot size is an appropriate lot size considering production throughput, production cost, ease of production, and the like.

  For example, in the steelmaking grouping, as the number of products to be consolidated into the same group increases, that is, as the predetermined number of orders are consolidated into a smaller number of groups, the number of charges charged in the converter is generally reduced. Since it can be reduced, the manufacturing throughput is improved and the manufacturing cost is reduced. However, on the other hand, since the overlapping range of the components is narrowed, it becomes difficult to focus on the components in the component adjustment processing in the converter, and rejection or demotion due to component removal is more likely to occur. That is, as the steel output group becomes larger, the product quality tends to decrease.

  For this situation, for example, a method for calculating and visualizing the production throughput related to the aggregated production lot is disclosed, but this does not give a method for integrating the production throughput into an appropriate production lot using the production throughput as an index. (See Patent Document 1).

  In addition, when multiple products are combined into a processing charge in a converter, a method for easily determining whether or not processing with the same charge is possible is disclosed, but this is determined only by whether there is an overlap in component values. Therefore, this determination of availability is fixed regardless of the situation (see Patent Document 2).

JP 2004-246467 A JP-A-2005-216075

  In general, the larger the production lot size, the higher the production throughput and the lower the production cost. On the other hand, the overlap width of the production specifications is narrowed, and the product quality tends to be lowered. Therefore, for example, the manufacturing specifications of individual products to be manufactured are wide and easy to manufacture, and even if the manufacturing lot size is increased, the overlapping width of the manufacturing specifications does not become so small, and there are many manufacturing devices. When throughput improvement is required or manufacturing cost reduction is required, it is desirable to increase the production lot size. On the other hand, although the width of the manufacturing specification is narrow and difficult to manufacture, it is desirable to make the manufacturing lot size smaller when there is a margin in manufacturing throughput or when an increase in manufacturing cost is allowed.

  For example, the steel production group in the refining process is currently fixed regardless of the situation, but when improvement in production throughput or cost reduction is required, the group is enlarged to improve product quality (decrease in rejects and demotions). When demand is required, the group can be made smaller so that production according to the occasional demand can be performed.

  In this way, even when manufacturing the same product, if you want to reduce manufacturing costs as much as possible due to changes in the order status, production status, and changes in production strategies in response to them, you want to increase manufacturing throughput as much as possible Or, when it is desired to make the product quality as high as possible, the demand for production changes variously. In order to cope with this, it is desirable to execute the optimum lot aggregation with respect to the evaluation index value, using the requirement items for production as the evaluation index.

  However, it is necessary to determine the production lot in consideration of various constraint conditions, the capacity of the production facility, and the like, and it is difficult to perform optimum lot collection in a short time according to the change of the situation. Therefore, it has been difficult to change flexibly in accordance with the status of manufacturing in progress in each process, changes in manufacturing costs, changes in requirements for production, and the like.

  Therefore, the present invention supports lot aggregation for processing orders related to a plurality of products having different production specifications as the same production lot so that it can be quickly determined in an optimal manner with respect to a plurality of evaluation index values. The purpose is to provide technology.

The production lot aggregation support system of the present invention is a production lot aggregation support system that performs lot aggregation for producing orders related to a plurality of products having different production specifications as the same production lot, and represents one requirement for production. Or an evaluation index calculation model creation / holding means for creating and holding a model for calculating a plurality of evaluation indices, a production schedule input means for inputting data relating to the production schedule of the product, and a function of the evaluation index for requesting the lot aggregation The evaluation function input holding means for reading and holding the evaluation function described in the form of the above, and the lot aggregation is determined by performing optimization calculation for minimizing or maximizing the value of the evaluation function for the production schedule of the product Optimum production lot aggregation determination means, input of optimum production lot calculation conditions, and input / output means for outputting the determined lot aggregation result It is characterized in.
The production lot aggregation support method of the present invention is a production lot aggregation support method for performing lot aggregation for manufacturing orders for a plurality of products having different production specifications as the same production lot, and the production schedule of the product A production schedule input step for inputting data relating to, and an evaluation function that defines a requirement for the lot aggregation with respect to a production schedule of the product, and a function form of one or a plurality of evaluation indexes representing a requirement for production An optimum production lot aggregation determination step for determining lot aggregation by performing optimization calculation that maximizes or minimizes the value of the evaluation function described in (1), and an output step for outputting the determined lot aggregation result .
Further, the computer program of the present invention is a computer program for causing a computer to execute a process of collecting lots for producing orders for a plurality of products having different production specifications as the same production lot, A production schedule input procedure for inputting data relating to a production schedule, and an evaluation function for defining a requirement for the lot aggregation with respect to the production schedule of the product, and a function of one or a plurality of evaluation indexes representing the requirement for production The computer executes an optimal production lot aggregation determination procedure for determining lot aggregation by performing optimization calculation that maximizes or minimizes the value of the evaluation function described in the form of, and an output procedure for outputting the determined lot aggregation result It is characterized by that.
The computer-readable recording medium of the present invention is characterized by recording the computer program described above.

  According to the present invention, when a lot aggregation is designated, a model representing the relationship between the manufacturing specification and the evaluation index is created, and then a demand for production is given as a function of the evaluation index, thereby giving a given production schedule. The production lot that optimizes the value of the evaluation function can be quickly determined. That is, it is possible to support an operation of quickly performing lot aggregation for manufacturing orders for a plurality of products having different manufacturing specifications as the same manufacturing lot in an optimum manner with respect to a plurality of evaluation index values.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a configuration diagram showing an outline of a production lot aggregation support system in a production factory according to an embodiment of the present invention. FIG. 2 is a flowchart showing an example of a production lot aggregation procedure performed using the production lot aggregation support system shown in FIG. Hereinafter, with reference to FIG. 1 and FIG. 2, in the steel product manufacturing factory as an example, the steel output grouping is the target work, and the evaluation index indicating the required items for production is quality, manufacturing cost, and manufacturing throughput. The production lot aggregation support system that supports the determination of the optimum steelmaking group with respect to the value of the evaluation index will be described.

  In FIG. 1, reference numeral 101 denotes an evaluation index calculation model creation / holding means, which is a model for calculating evaluation index values such as manufacturing throughput, manufacturing cost, and quality when determining which product belongs to which group, Prior to the steel output grouping, it is created and held in advance, for example, by arithmetic processing.

  Reference numeral 102 denotes a production schedule input means. When an order to be manufactured and a manufacturing specification for the order are determined, and data is actually grouped, data relating to the production schedule is input to the optimum production lot aggregation determination means 104. Data related to the production schedule is stored in a production management computer (not shown), and can be read and input via a network.

  An evaluation function input / holding unit 103 holds an evaluation function for defining a requirement for optimality, that is, lot aggregation, and inputs the evaluation function to the optimum manufacturing lot aggregation determination unit 104.

  Reference numeral 104 denotes an optimum production lot aggregation determination unit, which is an evaluation index calculation model from the evaluation index calculation model creation / holding unit 101, data related to the production schedule from the production schedule input unit 102, and evaluation from the evaluation function input / holding unit 103. The function is obtained, and the production lot aggregation for optimizing the value of the evaluation function is determined by the optimization calculation.

  Reference numeral 105 denotes a display / input / output unit that displays the calculation result obtained by the optimum production lot aggregation determination unit 104 to the person in charge of the production lot aggregation work on a screen display or the like. In this case, when the calculation result is satisfied by the person in charge, the person in charge can output the manufacturing specification to the production management computer or the like of each process by operating a keyboard or the like (not shown). Further, if the obtained calculation is not satisfactory, the value of the evaluation function can be changed with a keyboard or the like (not shown), and the optimization calculation can be executed again.

  Hereinafter, the processing procedure by the production lot aggregation support system will be described in detail with reference to the flowchart of FIG.

  First, in step S201, when a certain steelmaking group is designated by the evaluation index calculation model creation / holding means 101, that is, when it is determined which product belongs to which group, the production throughput and the production cost. A model for calculating the value of an evaluation index such as quality is created and held in advance prior to the steel grouping.

The manufacturing throughput is basically modeled as a processing amount per unit time of the manufacturing process. In the case of the steel output grouping, it can be modeled as the processing tonnage in the converter per unit time. However, at the time of determining the steel output group, the allocation to the charge is often not yet specified, and the number of the steel output group decreases (the group size increases), which reduces the number of charges in the converter. In addition to many cases, an improvement effect such as an increase in the degree of freedom in processing timing determination at the time of production plan creation can be expected, so here, the number of steel output groups themselves is modeled as an index of manufacturing throughput. That is, it is set as the following (Formula 1).
Throughput index = Number of steelmaking groups ... (Formula 1)

The manufacturing cost is basically obtained by adding up the usage amount and unit price for all items to be included in the manufacturing cost. In the case of steelmaking grouping, as a manufacturing cost item that is changed by changing the steelmaking group, products that are not required for secondary refining processing after processing in the converter are secondary refining. The secondary refining costs that are required in addition to the products that are required to be concentrated in the same group. Therefore, it is possible to model not the absolute amount of the manufacturing cost but the amount of cost increase due to the additional secondary refining process by grouping as an index of the manufacturing cost. That is, it is set as the following (Formula 2).
Cost index = cost increase = secondary refining additional processing tonnage x secondary refining processing unit price ... (Formula 2)

  The quality is modeled by selecting appropriate indicators according to the target product and manufacturing process. In the case of steel grouping, modeling is based on the overlapping width of components that directly affect the ease of manufacturing. However, the upper and lower limit values for a plurality of components such as carbon, manganese, phosphorus, sulfur, etc. are specified for each product, and the minimum upper and lower limit width that can be manufactured as the production capacity of the refining process for each component. Since the value is determined, for example, it is modeled as follows.

  (1) First, for each of a plurality of components, the overlapping width (upper and lower limit widths) of the component values for a plurality of products belonging to the same group is calculated.

(2) The ratio of the overlap width for each component to the minimum manufacturable upper and lower limit width for each component is calculated by the following (Equation 3). Here, this value is called a component-by-component margin.
Margin for each component = Overlap width for each component / Minimum upper / lower limit width for each component (Equation 3)

  Here, the larger the margin for each component, the better. Also, being less than 1.0 indicates that the overlapping width of the components as a result of grouping is smaller than the manufacturable upper and lower limit minimum value, which is a constraint violation. Therefore, when any one component margin is less than 1.0 for all groups and all components, the grouping is not established. Therefore, (Equation 3) is also a constraint in the steel output grouping.

(3) The average value obtained by weighting the component margins for each component is calculated by the following (formula 4). This is called a margin for each group, and this is an index of the overlapping width of components (that is, ease of manufacture) for one target steelmaking group.
Margin for each group = Σ [(weight for each component) × (margin for each component)] / weight total value (Expression 4)

(4) In the following (Formula 5), the margin for each group is weighted by the tonnage of products belonging to each group and averaged. This is used as an index of the overlapping width (that is, ease of manufacture) of the components of all groups (that is, the determined steel grouping).
Overlap width index = Σ [(each group tonnage) × (margin for each group)] / total tonnage (Formula 5)

  Here, Table 1 shows an example in which the above calculations (1) to (4) are performed for simple examples of the product type number 4, the group number 2, and the evaluation target component number 2. Here, the units of the component values are all%, and the weights for each component are all 1.0.

  Here, if the relationship between manufacturing specifications, such as manufacturing throughput, manufacturing cost, and quality, is complicated and it is difficult to model it as a simple calculation formula, collect a large number of manufacturing performance data. It is preferable to model the relationship with the manufacturing specification statistically, for example, by a regression equation using the least square method. The above is the procedure in step S201.

  Next, in step S202, an order to be manufactured and a manufacturing specification for the order are determined, and when production grouping is actually performed, the production schedule input means 102 inputs data related to the production schedule. Here, as described above, the data relating to the production schedule is stored in the production management computer not displayed in FIG. 1, and can be input via the network. In the case of performing the steel output grouping, as the data relating to the production schedule, information such as an order number, necessity of secondary refining, upper and lower limit values for each component, and weight are input for each order related to each product.

In step S 203, an evaluation function for defining a request for optimality, that is, lot aggregation is input by the evaluation function input / holding means 103. As the most general form, it is possible to use a value obtained by adding the values of all the evaluation indices by weighting as shown in the following (formula 6). Here, the optimum lot aggregation is to minimize the value of the evaluation function F.
Evaluation function F
= A1 · (quality index) + a2 · (cost index) + a3 · (throughput index) ... (Formula 6)

In the case of steel grouping, an evaluation function having the following form (Formula 7) is used.
Evaluation function F
= A1 · (1 / overlap width index) + a2 · (cost increase) + a3 · (number of steel production groups) ... (Formula 7)

  Here, it is preferable that the cost increase amount and the number of steel output groups are small, and it is preferable that the overlap index is large. Therefore, it is not appropriate to add them directly. Therefore, an index that becomes smaller as the overlap width becomes larger, for example, the reciprocal of the overlap width index, is taken and added to the cost increase and the number of steel output groups. In (Expression 6) or (Expression 7), for example, if the evaluation of the quality index is more important than the other two indices, the value of a1 is increased. Alternatively, if the cost does not need to be added to the evaluation function, the value of a2 is set to zero. As described above, it is preferable to select an appropriate evaluation function according to the requirements and strategies for manufacturing at that time, and it is desirable to select the values of the weighting factors a1 to a3 in (Equation 7) accordingly. Needless to say, the form of the evaluation function is not limited to the form of the weighted sum shown in (Expression 6) and (Expression 7). For example, there is a case where optimum lot aggregation is determined by maximizing the value of the evaluation function.

  Next, in step S204, when the evaluation index calculation model, production schedule, and evaluation function are obtained, the optimum production lot aggregation determination unit 104 determines the production lot aggregation that optimizes the value of the evaluation function. Here, since the optimization target is a discrete combination called the Idetsu group, the optimization method is the local search method, genetic algorithm, simulated annealing, which is widely used as the discrete combination optimization method. Although a search method such as a tabu search method can be used, it goes without saying that the optimum production lot aggregation method is not limited to a specific optimization method.

  Next, in step S205, the obtained calculation result (the optimum production lot and the value of each evaluation index at that time) is displayed by the display / input / output means 105 to the person in charge of the production lot aggregation work on a screen display or the like. To do. Here, as described above, when the calculation result is satisfied by the person in charge, the person in charge can output the manufacturing specification to the production management computer or the like of each process by operating the keyboard or the like. If the obtained calculation is not satisfactory, the optimization calculation is performed again by changing at least one of the values of the weighting factors a1 to a3 of each term of the evaluation function (Equation 6) by keyboard input or the like. It is possible to execute. That is, the calculation conditions of the optimum production lot aggregation determining means can be input under various conditions. Such operations are repeated, and when a lot aggregation result that achieves a satisfactory evaluation index value is obtained, the value is output.

  FIG. 3 is a block diagram showing an example of a computer system capable of creating the manufacturing lot aggregation support system described above.

  In FIG. 3, reference numeral 300 denotes a computer (PC). The PC 300 includes a CPU 301, executes device control software stored in a ROM 302 or a hard disk (HD) 311, or supplied from a flexible disk drive (FD) 312. To control.

  Each function unit of the present embodiment is configured by a program stored in the CPU 301, the ROM 302, or the hard disk (HD) 311 of the PC 300.

  A RAM 303 functions as a main memory, work area, and the like for the CPU 301. Reference numeral 305 denotes a keyboard controller (KBC) which controls to input a signal input from the keyboard (KB) 309 into the system main body. A display controller (CRTC) 306 performs display control on the display device (CRT) 310. The display / input / output means 105 of this embodiment includes a keyboard controller (KBC) 305, a keyboard (KB) 309, a display controller (CRTC) 306, a display device (CRT) 310, and the like.

  A disk controller (DKC) 307 is a hard disk (boot program (startup program: a program for starting execution (operation) of personal computer hardware and software)), a plurality of applications, editing files, user files, a network management program, and the like. HD) 311 and flexible disk (FD) 312 are controlled.

  A network interface card (NIC) 308 exchanges data bidirectionally with a network printer, another network device, or another PC via the LAN 313.

(Example)
For the following objects, the steelmaking group was calculated using the production lot aggregation support system according to the embodiment of the present invention.

Target type: Thin plate Product order: 1,571 Total weight: 100,447 tons Optimization method: Local search method

As the evaluation function for the optimization calculation, the following two cases were calculated.
Case 1: Minimum number of groups (a1 = a2 = 0, a3 = 1 in (Expression 7))
Case 2: 3 indices are considered (a1 = 0.5, a2 = 1 × 10 ⁻⁶ , a3 = 1)

  In case 2, the value of a2 is extremely small compared to the other two weights. The value of the secondary refining additional cost is several hundred thousand yen due to the change in the necessity of additional refining of one product. This is because it often changes in units, so that the digits of the items of the evaluation function are matched. Table 2 shows the evaluation results when the current group is used as a reference (for the overlap width index and the cost index, the value for the current group is set to 100 and the relative value is shown).

  From this result, in case 1 aiming at the minimum number of groups, the number of groups is three less than the current number, but the cost is significantly increased. On the other hand, in Case 2, which considers the three indicators, the current reduction in the number of groups is 2, but the cost increase is suppressed. Therefore, by changing the evaluation weight, not only a result reflecting it but also a result that greatly improved from the current manual grouping was obtained.

  In this way, by using the present invention, the demand for production changes in response to various changes in the order status, production status, and production strategy in response to these changes. It is possible to select the optimum lot aggregation according to the response.

  Here, the embodiment and examples of the present invention have been described by taking out steel grouping as an example, but the present invention is also applied to lot aggregation other than out steel grouping, for example, processing in an annealing furnace, rolling, and the like. Of course, is applicable. Of course, the present invention can also be applied to the manufacture of products other than steel products. Further, it goes without saying that the present invention can also be applied when an evaluation index other than throughput, cost, and quality is targeted.

  Another object of the present invention is to supply a recording medium in which a program code of software that realizes the functions of the above-described embodiments is recorded to a system or apparatus, and a computer (CPU or MPU) of the system or apparatus stores the recording medium. Needless to say, this can also be achieved by reading and executing the stored program code.

  In this case, the program code itself read from the recording medium realizes the functions of the above-described embodiment, and the recording medium storing the program code constitutes the present invention.

  As a recording medium for supplying the program code, for example, a flexible disk, a hard disk, an optical disk, a magneto-optical disk, a CD-ROM, a CD-R, a magnetic tape, a nonvolatile memory card, a ROM, or the like can be used.

  Further, by executing the program code read by the computer, not only the functions of the above-described embodiments are realized, but also an OS (operating system) operating on the computer based on the instruction of the program code, etc. However, it is needless to say that a case where the function of the above-described embodiment is realized by performing part or all of the actual processing and the processing is included.

  Further, after the program code read from the recording medium is written in a memory provided in a function expansion board inserted into the computer or a function expansion unit connected to the computer, the function expansion is performed based on the instruction of the program code. It goes without saying that the CPU or the like provided in the board or the function expansion unit performs part or all of the actual processing, and the functions of the above-described embodiments are realized by the processing.

  INDUSTRIAL APPLICABILITY The present invention can be used to support quick determination in an optimum manner with respect to a plurality of evaluation index values for lot aggregation for processing orders for a plurality of products having different production specifications in the same production lot.

It is a figure which shows the structure of the manufacturing lot aggregation assistance system which concerns on embodiment of this invention. It is a flowchart which shows the procedure of the manufacturing lot aggregation assistance method in the manufacturing lot aggregation assistance system which concerns on embodiment of this invention. It is a block diagram which shows an example of the computer system which can produce the production lot aggregation assistance system which concerns on embodiment of this invention.

Explanation of symbols

101 Evaluation index calculation model creation / holding means 102 Production schedule input means 103 Evaluation function input / holding means 104 Optimal manufacturing lot aggregation determining means 205 Display / input / output means 300 Computer (PC)
301 CPU
302 ROM
303 RAM
304 System Bus 305 Keyboard Controller 306 Display Controller 307 Disk Controller 308 Network Interface Card 309 Keyboard 310 Display Device 311 Hard Disk 312 Flexible Disk Drive 313 LAN

Claims (6)

A production lot aggregation support system that performs lot aggregation to produce orders for a plurality of products with different production specifications as the same production lot,
An evaluation index calculation model creation holding means for creating and holding a model for calculating one or a plurality of evaluation indices representing requirements for production;
Production schedule input means for inputting data relating to the production schedule of the product;
An evaluation function input holding means for reading and holding an evaluation function describing a request for the lot aggregation in the form of a function of the evaluation index;
Optimal production lot aggregation determination means for determining lot aggregation by performing optimization calculation that minimizes or maximizes the value of the evaluation function for the production schedule of the product;
A production lot aggregation support system comprising input / output means for inputting optimum production lot calculation conditions and outputting the determined lot aggregation result.   2. The production lot aggregation support system according to claim 1, wherein the evaluation index includes one or more of product quality, production cost, and production throughput.   3. The production lot aggregation support system according to claim 1, wherein the product is a steel product, and the production lot is an outgoing steel group that is a group of orders that can be refined with the same charge in a refining process. A production lot aggregation support method for collecting lots to produce orders for a plurality of products with different production specifications as the same production lot,
A production schedule input step for inputting data relating to the production schedule of the product;
An evaluation function that defines a requirement for the lot aggregation with respect to the production schedule of the product, and the value of the evaluation function described in the form of a function of one or a plurality of evaluation indexes representing the requirement for production is maximized or minimized. An optimal production lot aggregation determination step for determining lot aggregation by performing optimization calculation to
An output step for outputting the determined lot aggregation result. A computer program for causing a computer to execute lot aggregation processing for manufacturing orders for a plurality of products having different production specifications as the same production lot,
A production schedule input procedure for inputting data relating to the production schedule of the product;
An evaluation function that defines a requirement for the lot aggregation with respect to the production schedule of the product, and the value of the evaluation function described in the form of a function of one or a plurality of evaluation indexes representing the requirement for production is maximized or minimized. Optimal production lot aggregation determination procedure for determining lot aggregation by performing optimization calculation to be
A computer program for causing a computer to execute an output procedure for outputting a determined lot aggregation result.   A computer-readable recording medium on which the computer program according to claim 5 is recorded.

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