JP4903628B2 - Steel plate trim allowance design support system, steel plate trim allowance design support method, computer program, and computer-readable recording medium - Google Patents

Description

  The present invention relates to a steel sheet trim allowance design support system, and is used to design an optimum trim allowance for one or a plurality of evaluation index values of a steel sheet produced through processing in a plurality of manufacturing processes in a steel sheet manufacturing factory. And a suitable technique.

  Generally, when manufacturing a steel plate in a steel plate manufacturing factory, it manufactures through the process in several manufacturing processes, such as a hot rolling process, a pickling process, a cold rolling process, and a continuous annealing process. In this case, in order to obtain a product having a sheet width desired by the customer, trimming is often performed in the pickling process or the continuous annealing process. Although it is possible to control the formation of the sheet width in the hot rolling process, the hot rolling outgoing sheet width varies from the target sheet width, and cold rolling after leaving the hot rolling process. In the lower process of the process, continuous annealing process, etc., the plate width changes such as expansion and contraction of the sheet width, and the expansion width and contraction width differ depending on the manufacturing conditions of each manufacturing process. This is because it is difficult to make the product plate width with high accuracy only by making the plate width.

  In the trim processing, if the plate width on the trim process entry side is not sufficiently wide compared to the trim plate width that is the plate width after trim processing, that is, if the cutting allowance (trim allowance) is too small, it is stable. It is difficult to perform the trim processing, and it is necessary to decelerate from the scheduled trim processing speed and perform processing at a lower speed. Therefore, the manufacturing throughput is reduced. Here, the deceleration due to the plate width being too small on the trim process entry side is called trim deceleration, and the plate width that requires trim deceleration is called the deceleration-required plate width. That is, if the plate width on the trim process entry side is equal to or greater than the plate width required for deceleration, trim deceleration is not necessary, but if the plate width on the trim process entry side is less than the plate width required for deceleration, trim deceleration is necessary. In addition, if the plate width on the entry side of the trim process is further reduced, trim processing cannot be performed even at low speeds, making it impossible to manufacture products with the plate widths that are scheduled to be produced. It is necessary to transfer to and waste, which is a significant cost increase factor. Here, the fact that the trim processing becomes impossible due to the trim step entry side plate width being too small is referred to as “untrimming impossible”, and the plate width at which trimming is impossible is referred to as “trimming impossible plate width”. That is, if the plate width on the trim process entry side is equal to or larger than the non-trim plate width, the trim impossibility does not occur, but if the trim process entry side plate width is less than the trim impossible plate width, the trim impossibility occurs.

  When trim deceleration or trim failure occurs, trim processing cannot be performed as originally scheduled, so both trim deceleration and trim failure are called trim abnormalities. The value obtained by subtracting the trim plate width from the required deceleration plate width is the minimum trim allowance that does not cause trim deceleration, which is a type of trim failure. This is a kind of minimum trim margin that does not cause a trim failure. The smaller the minimum trim allowance, the less likely the trim abnormality occurs even if the plate width on the trim process entry side fluctuates. Therefore, the value of the minimum trim allowance is an index indicating the trim process capability.

  In the hot rolling process, the target sheet width is calculated by adding sufficient trim margin necessary for stable trim processing to the product sheet width, and taking into account the expected variation in sheet width in the lower process. It is necessary to decide. The trim margin here is not the trim margin actual value determined as a result from the actual sheet width, but the trim margin at the time of design. Therefore, when the distinction is necessary, it is called the trim margin design value. Moreover, determining the target plate width of the hot rolling process by designating an appropriate trim margin design value is called trim margin design. In trim margin design, if the trim margin design value is sufficiently large, trim reduction is not required even if a large plate width change occurs, and stable trim processing can be performed. The trimmed end portions become scrap, resulting in a decrease in yield and an increase in cost. Conversely, if the trim margin design value is reduced, the yield can be improved and the cost can be reduced. However, if a large plate width change occurs, trim processing throughput by trim deceleration (hereinafter simply referred to as “throughput”). There is a high risk that the trim processing cost (hereinafter referred to simply as “cost”) will increase due to a decrease in trimming and the inability to trim. Therefore, the accuracy of control for the target plate width of the outgoing plate width in the hot rolling process and the estimation accuracy of the plate width change in the lower process should be improved, and the throughput priority, cost priority, etc. Trim design is required.

  For such a situation, for example, a method of accurately predicting the hot rolling process exit sheet width and changing the target sheet width for the hot rolling process if the predicted sheet width is less than the next process minimum sheet width is disclosed. (See Patent Document 1).

  In addition, the change in the shrinkage amount prediction in the lower process and the change in the manufacturing condition of the lower process in response to changes from the planned values of the actual results of the components of the target steel sheet and the production performance conditions of the hot rolling A method for reducing fluctuations in the plate width of a product is disclosed (see Patent Document 2).

  On the other hand, the trim margin actual value is calculated from the actual trim width measured on the infeed side of the trim process in the past operational performance, and the possibility of operation trouble is evaluated from the size comparison with the preset minimum trim margin, and the trim yield and In consideration of the balance with the occurrence of operational troubles, a method of changing the plate width aimed at the hot rolling process is disclosed (see Patent Document 3).

JP-A-9-57315 Japanese Patent Laid-Open No. 11-188404 JP 2003-205306 A

  However, the methods of Patent Document 1 and Patent Document 2 are designed to predict the actual board width from the operation results up to the intermediate process, and to suppress the fluctuation of the product board width by changing the subsequent manufacturing conditions. It does not give any guidance on trim margin design at the time of planning.

  Although the method of Patent Document 3 gives a guideline for design of trim margin, only the minimum trim margin actual value is compared with a preset minimum trim margin, and the portion below the minimum trim margin is compared. The quantitative effects of trim cost changes on operation trouble occurrence such as length are not fully considered, and quantitative guidelines on how to balance trim cost and operation trouble occurrence are presented. It has not been.

  In order to design the trim allowance in an appropriate form, the effect on the occurrence of trim deceleration when the trim margin is changed, the quantitative impact including the length that needs to be reduced, etc. After clarifying the impact quantitatively from the operation results data, it is necessary to determine a trim margin that appropriately corresponds to the demands such as throughput priority and cost priority at that time. In this case, it is needless to say that it is necessary to determine the trim margin after accurately predicting the change in the plate width in the lower process.

  SUMMARY OF THE INVENTION An object of the present invention is to provide a technique that supports the design of an optimum trim margin with respect to one or a plurality of evaluation index values of a steel sheet produced through processing in a plurality of manufacturing processes in a steel sheet manufacturing factory. That is.

The steel sheet trim allowance design support system of the present invention is a steel sheet trim allowance design that performs optimum trim allowance design of a steel sheet produced through processing in a plurality of manufacturing processes in a steel sheet manufacturing factory based on the production schedule of the product. It is a steel sheet trim allowance design support system for supporting work, and records the actual sheet width data of each manufacturing process, collects and accumulates the actual sheet width data collecting means, and the results accumulated in the actual sheet width data collecting means Trim representing the relationship between trim margin design value and occurrence of trim abnormality based on sheet width data and trim process capability, which is the minimum trim margin that can be trimmed without causing trim abnormality in the trim process Trim margin model creation and holding means for creating a margin model and retaining it as a database, product production schedule, trim margin design value, and the trim margin model Te, and simulation means for deriving the value of the evaluation index for multiple trim allowance design value, and the evaluation function input holding means for inputting and holding an evaluation function that describes the request for the evaluation index, the production plan of the product An optimum trim margin determining means for determining an optimum trim margin design value with respect to the evaluation index by maximizing or minimizing the value of the evaluation function based on the trim margin model, and a simulation condition and an optimum trim margin design value calculation condition of the input, comprising input and output means for outputting a simulation result and the determined trim allowance design value, and the evaluation index, the trimming processing cost and trimmed throughput der wherein Rukoto.
Further, the steel sheet trim allowance design support method of the present invention is a steel sheet trim that performs an optimum trim allowance design of a steel sheet produced through processing in a plurality of manufacturing processes in a steel sheet manufacturing factory based on the production schedule of the product. A steel sheet trim design support method for assisting design work, which is obtained by collecting and accumulating actual plate width data of each manufacturing process and accumulating in the actual plate width data collecting step. Based on the actual sheet width data and the trim process capability, which is the minimum trim allowance that can be trimmed without causing trim abnormality in the trim process, the relationship between the trim margin design value and occurrence of trim abnormality A trim allowance model creation holding step for creating a trim allowance model to be expressed and holding the trim allowance model as a database, a production schedule of the product, a trim allowance design value, and the trim allowance model Using the Le, and simulation steps for deriving the value of the evaluation index for multiple trim allowance design value, and the evaluation function input holding step of inputting and holding an evaluation function that describes the request for the evaluation index, the An optimum trim margin determining step for determining an optimum trim margin design value for the evaluation index by maximizing or minimizing the value of the evaluation function based on the trim margin model, a simulation condition, and an optimal trim cash on design value inputs for the calculation conditions, the input-output step of outputting the simulation results and the determined trim allowance design value, have a, the evaluation index, the trimming processing cost and trimmed throughput der wherein Rukoto.
In addition, the computer program of the present invention performs steel sheet trim allowance design work for designing an optimum trim allowance for a steel sheet produced through processing in a plurality of manufacturing processes at a steel sheet manufacturing factory based on the production schedule of the product. A computer program to support, actual board width data collection procedure for collecting and accumulating actual board width data of each manufacturing process, the actual board width data accumulated in the actual board width data collection procedure, and trim Create a trim allowance model that represents the relationship between the trim allowance design value and the occurrence of trim abnormality based on the trim process capability, which is the minimum trim allowance that can be trimmed without causing trim abnormality in the process. Using the trim allowance model creation retention procedure to be retained as a database, product production schedule, trim allowance design value, and the trim allowance model, And simulation procedure for deriving the value of the evaluation index for multiple rims allowance design value, and the evaluation function input holding To enter and holding an evaluation function that describes the request for the evaluation index, the planned production of the product, Based on the trim allowance model, an optimum trim allowance design procedure for determining an optimum trim allowance design value for the evaluation index by maximizing or minimizing the value of the evaluation function, and a simulation condition and an optimum trim allowance design value calculation condition input, the simulation results and the determined input-output procedure to output the trimming allowance design value is executed by a computer, the evaluation index, the trimming processing cost and trimmed throughput der wherein Rukoto.
The computer-readable recording medium of the present invention is characterized by recording the computer program described above.

  According to the present invention, a trim margin model representing the relationship between the trim margin design value and the occurrence of trim abnormality is created based on the trim process capability from the actual sheet width data collected from each manufacturing process. One or more evaluation index values are derived by simulation from the production schedule and trim allowance design value, and the demand for production is given as an evaluation function, and the evaluation function is calculated from the product production schedule and trim allowance model. By determining the trim allowance that optimizes the value of the steel sheet, the optimum trim allowance design for the value of one or more evaluation indices of the steel sheet produced through the processing in multiple manufacturing processes at the steel sheet manufacturing plant It is possible to realize technology that supports

  The best mode for carrying out the present invention will be described below with reference to the drawings. FIG. 1 shows an outline of a steel sheet trim allowance design support system in a steel sheet manufacturing factory comprising a plurality of processes, that is, a sheet width building process, a sheet width changing process, and a trim process, as an embodiment of the present invention. It is a block diagram.

  Further, FIG. 2 is a flowchart showing an example of steel plate trim allowance design processing performed using the steel plate trim allowance design support system shown in FIG. Hereinafter, with reference to FIGS. 1 and 2, a description will be given by taking as an example a system that supports two trim cost designs as evaluation indexes and supports optimum trim margin design with respect to the evaluation index values. There are mainly cases where the trim treatment is performed in the pickling process and in the continuous annealing process. Here, a case where the trim treatment is performed in the continuous annealing process is taken as an example. Accordingly, the sheet width building process in FIG. 1 represents a hot rolling process, and the sheet width changing process includes one part including the pickling process, the cold rolling process, and the portion before the trim device in the continuous annealing process. As shown. In addition, the trim process represents the trim apparatus after the continuous annealing process.

  In FIG. 1, an actual sheet width data collecting unit 101 is a unit that collects and accumulates actual sheet width data for a steel sheet that has been manufactured with a trim margin that has been designated so far. The trim allowance model creation holding means 102 is a means for creating a trim allowance model representing the relationship between the trim allowance and the evaluation index (cost, throughput).

  The simulation unit 103 is a unit used by a trim cost determination person in charge of the system (hereinafter abbreviated as “person in charge”) to predict the value of the evaluation index to be realized. The evaluation function input holding means 104 is means for holding an evaluation function for defining optimality. The optimum trim margin determining means 105 is a means for determining an optimum trim margin. The display input / output means 106 displays items related to the determination of the trim margin of each steel sheet, specifically, information such as the steel type, product dimensions (sheet thickness, sheet width), weight, etc., and has been determined by the person in charge. This is means for inputting simulation conditions to the simulation means 103.

  Next, an example of steel plate trim allowance design processing will be described with reference to FIG. First, in step S 201, the actual sheet width data collecting means 101 collects the actual sheet width data for the steel sheet manufactured with the conventionally designated trim margin. At this time, actual sheet width data relating to steel sheets having as many steel types as possible and as many dimensions as possible (sheet thickness, sheet width) is collected.

  As the actual sheet width data collected by the actual sheet width data collecting means 101, the sheet width measurement value measured by the sheet width measuring device or the like is used as another manufacturing result data such as work start / end time, trim processing speed, steel type, Collect together with data such as plate thickness. These data are generally collected directly by a process control computer or quality control computer. Data collection in this system is to receive data from these computers via a network. It is possible. FIG. 3 shows an example of the actual board width data collected. Further, the plate width required for deceleration and the plate width that cannot be trimmed are generally about the trim plate width “+15 mm” and the trim plate width “+10 mm”, depending on the steel type, size, and equipment specifications.

  After the actual sheet width data has been sufficiently collected, in step S202, the trim margin and the evaluation index (cost, throughput) are taken by the trim margin model creation holding means 102 in consideration of the trim process capability (2000 in the figure). ) To create a trim allowance model. The trim process capability is stored in advance in the present system.

  Since the value of the evaluation index varies depending on the steel type, product dimensions (plate thickness, plate width), etc., for each steel type, for example, the product plate thickness is divided by 0.2 mm and the product plate width is divided by 400 mm. A separate model should be created for each category.

  FIG. 4 shows a specific procedure for creating a trim allowance model. (1) in FIG. 4A is an example of a trim process entry side actual plate width for one steel plate, and neither trim deceleration nor trimming has occurred. On the other hand, if the trim margin is reduced, that is, if the target plate width for the hot rolling process is reduced, the trim process entry side plate width is considered to be reduced by that amount unless other manufacturing conditions are changed. If the trim allowance is reduced to the value of (2), trim deceleration does not occur. However, if the trim margin is reduced to a value of (3) beyond that, processing at a low speed by trim deceleration is required in the section of length L3. Furthermore, if the value is reduced to the value of (4), low-speed processing is required in the section of length L4. FIG. 4B is a diagram showing the relationship between the trim margin change derived in this way and the required length of low-speed processing.

  Similarly, in FIG. 4A, the trim margin is not reduced when the trim margin is reduced to the value of (3). However, if the trim margin is reduced to the value of (4), the trim is impossible. If even one place on the steel plate is less than the width that cannot be trimmed, it will not be possible to produce the product that was originally planned. You can organize. An example is shown in FIG.

  Next, as shown in FIG. 4B, the relationship between the trim margin and the throughput is modeled from the required length of low speed processing when the trim margin is changed. The relationship between the required length of low speed processing and the throughput is expressed by the following equations (1) and (2).

Trim processing time = (total length of plate-required length of low speed processing) / scheduled speed + required length of low speed processing / low speed speed (1)
Throughput = steel plate weight / trim processing time (2)

  Therefore, the throughput decreases as the trim margin decreases and the required length of low-speed processing increases. If the time required for the transition from the planned speed to the low speed cannot be ignored, the average speed in the transition process is calculated and the required low speed processing length and the low speed in Equation (1) are corrected. More accurate calculation of throughput is possible.

  FIG. 5A shows an example of a model of the relationship between trim margin and throughput. In this figure, the value of x (trim allowance) decreases toward the right side of the horizontal axis. A broken line indicated as “steel plate 1” is an example of a model for one steel plate. There is another “steel plate 2” in the same section, and similarly, the relationship between the trim margin and the throughput is calculated as shown by the broken line of “steel plate 2” in FIG. Then, the average of the two steel plates in the section becomes like a solid line indicated by “steel plate 1 + steel plate 2”. In this case, if the two steel plates have exactly the same specifications, the average throughput may simply be averaged between the two. If the specifications are different and the steel plate weights are different, the weight of each steel plate will be different. The value obtained by taking the weighted average may be the average throughput of the two steel plates. Even when the performance data of three or more steel plates is collected in a section, the average throughput of the section may be calculated by exactly the same process, and this is the throughput model of the trim margin model of the section. An example is shown in FIG. Here, the point A is the steel sheet having the smallest board width with respect to the trim reduction plate width when the trim margin is reduced step by step among the steel sheets existing in the section. This is the trim margin when the required plate width for trim reduction is reached. While the trim margin is larger than the A point, the throughput value as the average value of the section is constant, but when the trim margin is smaller than the A point, the throughput value gradually decreases.

  With the same processing, the relationship between the trim margin and the cost is modeled from the relationship between the trim margin change and the occurrence of the trim failure shown in FIG. In the case where the trim is impossible, the order is transferred, and if the transfer is impossible, the cost required for scrapping is additionally added. The order transfer cost varies depending on the steel type, product plate thickness, product plate width, etc., but it is common that the order to transfer to is not determined at the time of trim design, so it is average from past results. It is better to calculate the appropriate transfer cost and use that value. When the performance data for a plurality of steel plates is collected in this category, the weighted average may be taken by the weight of each steel plate in the same manner as the throughput model is calculated. An example is a broken line indicated by “Increase in cost due to inability to trim” in FIG. The total of “cost increase due to inability to trim” and “cost decrease due to trim cost reduction” is the “total cost” related to trim processing, and this is the cost model of the trim cost model. Here, point B is the steel sheet that exists in the section, and when the trim margin is reduced stepwise, the steel sheet with the smallest margin for the untrimmed sheet width of the minimum sheet width value has the minimum sheet width value. This is the trim margin when the untrimable plate width is reached. While the trim margin is larger than point B, the average cost of the segment shows a decreasing trend due to the yield improvement due to the trim margin reduction (corresponding to the broken line shown in “Cost reduction due to trim margin reduction”) Represents that the trim margin starts to increase when the trim margin becomes smaller than the point B.

  In the same way, trim margin models (throughput model and cost model) are created and stored as a database for all categories for which actual board width data was collected, and the board width in the lower process is saved. It is possible to quickly determine the optimum trim margin in consideration of the change accurately.

  Returning to FIG. 2, when the production schedule of the target steel sheet for which the trim allowance is to be determined is determined, in step S203, the trim means determining person who is the user of the present system (hereinafter abbreviated as “person in charge”) by the simulation means 103. However, the simulation for predicting the value of the evaluation index to be realized is performed. Here, the data relating to the production schedule is stored in a production management computer not displayed in FIG. 1, and can be input to the simulation means 103 via the network. When performing the simulation, the display input / output means 106, which will be described later, is in charge of items related to the determination of the trim margin of each steel plate, specifically, information such as steel type, product dimensions (plate thickness, plate width), weight, etc. A person inputs to the simulation means 103 as a simulation condition. Then, among the trim allowance models created and stored by the trim allowance model creation holding means 102 described above, the trim allowance model of the steel type and product dimension classification corresponding to the steel plate to be produced is read.

  The concept of the simulation will be described with reference to FIGS. 5B and 5C. Here, when the trim margin selection value xsel for which the evaluation index value to be realized is to be predicted is input as a simulation condition, it is realized from the throughput model shown in (b) and the cost model shown in (c). The values of throughput y1 and cost y2 are obtained (indicated by a circle in the figure). This is the value of the evaluation index predicted as a simulation result.

  Next, in step S206, the obtained simulation result is displayed on the screen by the display input / output means 106 to the person in charge. Here, when the value of the evaluation index obtained by the simulation is satisfied by the person in charge, the person in charge uses the operation of the keyboard or the like to set the selected trim margin value to the production management computer for each manufacturing process, etc. Output to. If the value of the obtained evaluation index is not satisfactory, the simulation is performed again by changing the trim margin selection value xsel, which is a simulation condition, by keyboard input or the like. Such an operation is repeated, and when a trim allowance that achieves a satisfactory evaluation index value is obtained, the value is output.

  As another trim margin determination method, in step S205, the optimum trim margin can be determined using the optimum trim margin determining means 105 provided in the present system. In this case, first, in step S204, an evaluation function for defining optimality is input by the evaluation function input holding means 104. As the most general form, it is possible to use a value obtained by weighting and adding the values of two evaluation indexes (throughput and cost) as in the following expression (3). c1 and c2 are weights for throughput and cost. Here, it is preferable that the throughput y1 is larger and the cost y2 is smaller. Therefore, it is not appropriate to add them directly. Therefore, an index that decreases as the throughput increases, for example, the reciprocal of the throughput y1 is taken as y1 ′, and this is added to the cost y2. Therefore, the optimum trim margin is to minimize the value of the evaluation function F.

  Evaluation function F = c1 · y1 ′ + c2 · y2 (3)

  Alternatively, the evaluation function F ′ of the following equation (4) can be used instead of the equation (3). Here, if y2 ′ is an index that increases as the cost y2 decreases, for example, the reciprocal of the cost y2, the optimal trim margin is to maximize the value of the evaluation function F ′ in Expression (4). In this way, the evaluation function has a trim margin design value that is optimal with respect to the evaluation index to maximize or minimize the value depending on the definition.

  Evaluation function F ′ = c1 · y1 + c2 · y2 ′ (4)

  Hereinafter, the case where the evaluation function F of the above formula (3) is used will be described as an example, but the concept is the same even when the evaluation function F ′ of the formula (4) is used. Here, when determining the trim margin, only the cost needs to be considered, and if it is not necessary to add the throughput to the evaluation function, c1 = 0 may be set. In this case, the optimum trim margin value obtained is a value corresponding to point B in FIGS. 5 (a) and 5 (b). On the other hand, when the throughput is added to the evaluation, c1 may be set to a non-zero value, and the value of c1 may be increased as the evaluation of the throughput is emphasized. In this case, the determined trim margin approaches point A from point B in FIGS. 5 (a) and 5 (b). Here, the values of c1 and c2 are optimum trim margin design value calculation conditions, and are input by the person in charge through the display input / output means 106. As described above, it is preferable to select an appropriate evaluation function according to the demand for the production at that time, and it is desirable to select the values of the weighting factors c1 and c2 in the equation (3) accordingly. Needless to say, the form of the evaluation function is not limited to the form of the weighted sum shown in Expression (3).

  If the relationship between the trim allowance and each evaluation index in the trim allowance model is linear, or if there is no problem in evaluation accuracy even if it is approximated linearly, it can be expressed as the following equation (5). It is.

y1 ′ = a1 · x + b1
y2 = a2 · x + b2 (5)

  If the trim allowance model is expressed in the form of Expression (5) and the evaluation function is expressed in the form of Expression (3), the optimal solution, that is, the value of the evaluation function F is obtained by linear programming generally used as an optimization method. It is possible to easily calculate the value of the trim allowance x that minimizes and the value of each evaluation index at that time.

  Even when either the trim allowance model or the evaluation function is nonlinear, it is possible to obtain an optimal solution using a nonlinear programming method that is also relatively frequently used as an optimization method. Search methods such as genetic algorithm, simulated annealing, tabu search method, and local search method may be used, and the optimum trim margin determination method is not limited to a specific optimization method. Needless to say.

  The obtained calculation result (the optimum value of the trim allowance and the value of each evaluation index at that time) is displayed on the screen by the display input / output means 106 as in the simulation result (FIG. 2). Corresponding to the display / input / output step S206). Here, when the calculation result is satisfied by the person in charge, the person in charge outputs the trim margin to the production management computer or the like in each manufacturing process by operating the keyboard or the like. If the obtained calculation is not satisfactory, the evaluation function that is the optimum trim allowance design value calculation condition, and the values of the weighting factors c1 and c2 of each term of the expression (3) are changed by keyboard input or the like. Thus, the optimization calculation can be executed again. Similarly to the execution of the simulation step, it is also possible to perform a simulation by correcting the obtained optimum value of the trim margin. Such an operation is repeated, and when a trim margin for realizing a satisfactory evaluation index value is obtained, the value is output.

  FIG. 6 is a block diagram illustrating an example of a computer system that can configure the trim allowance determination support system described above.

  In FIG. 6, reference numeral 600 denotes a computer PC (hereinafter referred to as PC). The PC 600 includes a CPU 601, executes device control software stored in a ROM 602 or a hard disk (HD) 611, or supplied from a flexible disk drive (FD) 612, and collects all devices connected to the system bus 604. To control. Each function unit of the present embodiment is configured by a program stored in the CPU 601, ROM 602, or hard disk (HD) 611 of the PC 600.

  Reference numeral 603 denotes a RAM which functions as a main memory, work area, and the like for the CPU 601. Reference numeral 605 denotes a keyboard controller (KBC), which controls to input a signal input from the keyboard (KB) 609 into the system main body. Reference numeral 606 denotes a display controller (CRTC), which performs display control on the display device (CRT) 610. A disk controller (DKC) 607 is a hard disk (boot program (start 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) 611 and flexible disk (FD) 612 are controlled.

  Reference numeral 608 denotes a network interface card (NIC) that exchanges data bidirectionally with a network printer, another network device, or another PC via the LAN 613.

(Example)
Hereinafter, an embodiment in which the steel sheet trim allowance design support system of the present invention is actually used will be described. In this example, the optimum trim allowance value of the steel sheet of the following steel types and product size categories was calculated using the optimum trim allowance determining means 105.

Target steel type: SPCC material Plate width classification: 1,000-1,300mm
Thickness classification: 1.2-1.6mm

  As the evaluation function for the optimization calculation, the following three cases were calculated.

Case 1: Trim processing cost is minimum (in formula (5), c1 = 0, c2 = 1)
Case 2: Consider the balance of 2 evaluation indices (c1 = 2, c2 = 1 in equation (5))
Case 3: Emphasis on trim processing throughput (c1 = 100, c2 = 1 in equation (5))

  The obtained optimal trim allowance and the value of the evaluation index at that time are the amount of change from the current trim allowance for the optimal trim allowance, and the relative value when the value for the current trim allowance is 100 for the evaluation index value. Table 1 below shows.

  From this result, in the case 1 for the purpose of minimizing the trim processing cost, the trim cost is 23% lower than the current one, while the throughput is also decreased by 8%. In the case 3 in which the trim processing throughput is emphasized, Although the trim processing throughput is the same as the current trim processing cost, the trim processing cost is reduced by 8%. This indicates that the current trim allowance design is an excessive trim allowance as a result of excessive consideration of trim processing throughput. In case 2 in which the balance between the two evaluation indexes is taken into consideration, the trim processing cost is reduced by 15% although the throughput is slightly reduced to 2% from the current state. Since the ratio of manufacturing cost to selling price is high and the production volume is large, the improvement of the index can be a great improvement for operation.

  In this way, by using the present invention, the optimum trim allowance according to the demand is changed in response to changes in the order status and production status from time to time and the demands for production in response to these changes. It becomes possible to select or design.

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

  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, hard disk, optical disk, magneto-optical disk, CD-ROM, CD-R, magnetic tape, nonvolatile memory card, 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) running on the computer based on the instruction of the program code. 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 into 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 is used to support rapid design of an optimum trim margin with respect to one or a plurality of evaluation index values of a steel sheet produced through processing in a plurality of manufacturing processes in a steel sheet manufacturing factory.

It is a figure which shows an example of a structure of the trim allowance design support system which concerns on embodiment of this invention. It is a flowchart for demonstrating the process in the trim allowance design support system which concerns on embodiment of this invention. It is a figure which shows an example of the performance board width data collected in the trim margin design assistance system which concerns on embodiment of this invention. It is a figure explaining the procedure which derives | leads-out the relationship of the low speed process required length with respect to a trim margin change, and the trimming non-occurrence presence / absence from the performance board width data collected in the trim margin design support system which concerns on embodiment of this invention. It is a figure explaining the trim margin model which concerns on embodiment of this invention, and the view of simulation. It is a block diagram which shows an example of the computer system which can comprise the trim allowance design support system which concerns on embodiment of this invention.

Explanation of symbols

101 Actual board width data collecting means 102 Trim margin model creation holding means 103 Simulation means 104 Evaluation function input holding means 105 Optimum trim margin determining means 106 Display input / output means 600 Computer PC (PC)
601 CPU
602 ROM
603 RAM
604 System bus 605 Keyboard controller (KBC)
606 Display controller (CRTC)
607 Disk controller (DKC)
608 Network interface card (NIC)
609 Keyboard (KBC)
610 Display (CRT)
611 Hard Disk (HD)
612 Flexible Disk Drive (FD)
613 LAN

Claims (5)

A steel sheet trim allowance design support system that supports steel sheet trim allowance design work based on the production schedule of products, in order to design the optimum trim allowance for steel sheets produced through processing in multiple manufacturing processes at a steel sheet manufacturing plant. There,
Actual board width data collection means for collecting and collecting actual board width data of each manufacturing process;
Trimming based on the actual sheet width data accumulated in the actual sheet width data collecting means and the trim process capability that is the minimum trim allowance that can be trimmed without causing trim abnormality in the trim process. Trim margin model creation holding means for creating a trim margin model representing the relationship between the margin design value and occurrence of trim abnormality and retaining it as a database;
And the production schedule of the product, and trim allowance design value, by using the above-mentioned trim cost model, and simulation means for deriving the value of the evaluation index of multiple trim allowance design value,
An evaluation function input holding means for inputting and holding an evaluation function describing a request for the evaluation index;
Optimum trim allowance determining means for maximizing or minimizing the value of the evaluation function and determining an optimum trim allowance design value for the evaluation index based on the trim allowance model for the production schedule of the product;
Input / output means for inputting simulation conditions and optimum trim allowance design value calculation conditions, and outputting simulation results and determined trim allowance design values ;
The evaluation index, steel trim allowance design support system for the trim processing cost and trimmed throughput der wherein Rukoto. The trim abnormality is characterized in that trim processing speed is reduced due to an insufficient width of the trim process entry side plate, and trim processing at a plate width on the production schedule becomes impossible due to an excessive reduction of the trim process entry side plate width. The steel sheet trim allowance design support system according to claim 1 . A steel sheet trim allowance design support method that supports steel sheet trim allowance design work based on the production schedule of products, in order to design the optimum trim allowance for steel sheets produced through processing in multiple manufacturing processes at a steel sheet manufacturing plant. There,
Actual board width data collecting step for collecting and storing actual board width data of each manufacturing process;
Trimming based on the actual sheet width data accumulated in the actual sheet width data collecting step and the trim process capability, which is the minimum trim allowance that allows trim processing without causing trim abnormality in the trim process. A trim allowance model creation holding step for creating a trim allowance model representing the relationship between the allowance design value and occurrence of trim abnormality and holding it as a database;
And the production schedule of the product, and trim allowance design value, by using the above-mentioned trim cost model, and simulation step for deriving the value of the evaluation index of multiple trim allowance design value,
An evaluation function input holding step for inputting and holding an evaluation function describing a request for the evaluation index;
An optimum trim allowance determining step for determining an optimum trim allowance design value for the evaluation index by maximizing or minimizing the value of the evaluation function based on the trim allowance model for the production schedule of the product;
Input of simulation conditions and the optimum trim allowance design value calculation conditions, the input-output step of outputting the simulation results and the determined trim allowance design value, was closed,
The evaluation index, steel trim allowance design support method of the trim processing cost and trimmed throughput der wherein Rukoto. A computer program that supports steel sheet trim allowance design work based on the production schedule of a product for designing an optimum trim allowance for a steel sheet produced through processing in a plurality of manufacturing processes in a steel sheet manufacturing factory,
Actual board width data collection procedure for collecting and storing actual board width data of each manufacturing process,
Trimming based on the actual sheet width data accumulated in the actual sheet width data collection procedure and the trim process capability that is the minimum trim allowance that allows trim processing without causing a trim abnormality in the trim process. Trim allowance model creation retention procedure for creating a trim allowance model that represents the relationship between the allowance design value and occurrence of trim abnormality and retaining it as a database;
And the production schedule of the product, and trim allowance design value, by using the above-mentioned trim cost model, and simulation procedure for deriving the value of the evaluation index of multiple trim allowance design value,
An evaluation function input holding procedure for inputting and holding an evaluation function describing a request for the evaluation index;
An optimal trim allowance determination procedure for determining the optimum trim allowance design value for the evaluation index by maximizing or minimizing the value of the evaluation function based on the trim allowance model for the production schedule of the product;
Input the simulation conditions and optimum trim allowance design value calculation conditions, input / output procedure to output the simulation results and the determined trim allowance design value ,
The evaluation index, trimmed costs and trimmed throughput der computer program characterized Rukoto. A computer-readable recording medium on which the computer program according to claim 4 is recorded.

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