JP2001034325A - Method and device for executing simulation of production system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To reduce the simulation time of a large production system by successively executing simulation from a partial model whose simulation execution order is first and referring to the execution results of the preceding partial model in executing simulation of a subsequent partial model. SOLUTION: A simulation execution management data preparing part 2 prepares simulation execution management data. A simulation execution managing part 3 selects partial models A1,... to be executed by using the simulation execution management data and updates the simulation execution management data into executed data about executed partial models A1,... A simulation executing part 4 executes simulation of the selected partial model A1... and obtains execution results data. A data storing part 5 stores simulation execution pattern input data, the simulation execution management data and the simulation execution results data.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method and an apparatus for executing a simulation of a large-scale production system, which is performed for production system conception and design support for the entire production system.

[0002]

2. Description of the Related Art Conventionally, when performing a simulation for a production system, a target range (a wide range,
(Details, etc.) are determined, one model is created, and simulation is executed. And one
It is rare to evaluate from the results of a single simulation performed on one model, and multiple alternatives are available within the same model, for example, combining various parameters such as the number of production facilities, buffer capacity, and transport time. Generally, the evaluation based on the simulation execution result is repeatedly performed on the plurality of alternatives.

[0003]

However, in the above-mentioned prior art, when a simulation is executed with one large-scale model such as the entire production system, the simulation model as a program becomes very large.
There is a problem that the load on the computer device as an execution device for executing the simulation increases, and the execution time of the simulation becomes extremely long.

Here, in the entire production system, parts are produced from materials, work-in-progress is produced from several parts, and final products are produced from the work-in-progress and parts. There is a situation that is making. From this point of view, the entire production system is divided into several parts along the flow of the object, the divided parts are created as partial models, and a simulation using the partial models is performed in accordance with the order of the flow. It is conceivable that a simulation of the entire production system is executed. In this way, the total simulation execution time of the entire production system including the simulation evaluation of the alternatives can be reduced, but the simulation for the combination of several alternatives prepared for each partial model can be shortened. The evaluation has to be performed while considering the order of the flow in the entire production system.

The present invention has been made in view of the above circumstances, and has as its object to simulate the entire production system in consideration of a combination of a plurality of partial models divided from the entire production system and their alternatives. It is an object of the present invention to provide a production system simulation execution method and apparatus which can execute the simulation and reduce the simulation execution time of a large-scale production system.

[0006]

In order to achieve the above object, the present invention divides the entire production system into a plurality of partial models and sequentially executes a simulation of each of the partial models to thereby execute the entire production system. A simulation execution method for executing the simulation of the first embodiment, wherein a simulation execution pattern composed of a combination of a simulation execution order of each partial model and an alternative of each partial model is input and stored as simulation execution pattern input data. Using the process and the simulation execution pattern input data stored in the first process, create simulation execution management data used for selecting a partial model to be executed and discriminating whether or not each partial model has executed a simulation. And a second step of remembering; A third step of selecting a partial model to be executed using the simulation execution management data stored in step 2, a fourth step of executing a simulation on the partial model selected in the third step, 4
A fifth step of storing simulation execution result data indicating a simulation execution result in the step of;
A sixth step of updating and storing the simulation execution management data of the partial model for which the simulation has been executed in the fourth step to a state where the simulation has been executed;
If there is an unexecuted partial model to be continuously executed with reference to the simulation execution management data updated in the sixth step, the third to sixth steps are repeated, and if there is no unexecuted partial model to be executed, the partial A seventh step of completing the simulation of the model, wherein the simulation is sequentially executed from the partial model in the simulation execution order, and the simulation execution result of the previous partial model is executed when the simulation of the subsequent partial model is executed. From the reference, the simulation of the entire production system can be executed in consideration of the combination of the plurality of partial models divided from the entire production system and the alternatives, and the simulation execution time of the large-scale production system can be reduced. .

According to a second aspect of the present invention, in the first aspect of the present invention, the simulation execution management data is configured as a set of two adjacent partial models in the order of the simulation execution order. In addition to the effect of the invention of item 1, since the simulation execution management data can be handled as a fixed data set, it becomes easy to manage the simulation execution management data as a data file even when the number of partial models increases.

According to a third aspect of the present invention, in the first aspect of the present invention, the simulation execution management data includes a model name setting area in which the names of all the partial models to be simulated are set, and each simulation execution pattern. It is developed in a simulation execution flag management table including a pattern ID area and a flag setting area indicating whether or not an individual partial model set in the model name setting area for each pattern ID is included. In addition to the effect of the first aspect of the present invention, the progress of the simulation execution can be easily grasped from the simulation execution flag management table.

According to a fourth aspect of the present invention, in the second or third aspect of the present invention, simulation correction presence / absence data for distinguishing between a modified or modified partial model and a modified or modified partial model is created. 4. The method according to claim 2, further comprising the step of referring to the simulation modification presence / absence data and making the simulation execution management data of the partial model that has not been modified and changed the simulation executed in the second step. In addition to the effect of the invention, if no modification or change has been made to the partial model for which simulation has already been performed, it is not necessary to execute the simulation of the partial model again,
By reducing the number of times the simulation is executed, the total simulation execution time can be reduced.

According to a fifth aspect of the present invention, in the second or third aspect of the present invention, the presence / absence of the relation between the simulation execution result data and the alternative of each partial model and the constraint condition are stored as simulation model related / absent data. Referring to the simulation model association presence / absence data, when one partial model is associated, it is determined whether the simulation execution result of the alternative is necessary depending on whether the simulation execution result data satisfies the corresponding constraint condition. As a feature, in addition to the function of the invention of claim 2 or 3,
If the simulation execution result data does not satisfy the constraint, the simulation of the alternative is not executed, so that the number of times of executing the simulation can be reduced and the total simulation execution time can be shortened.

According to a sixth aspect of the present invention, in order to achieve the above object, the entire production system is divided into a plurality of partial models,
A simulation execution device that executes a simulation of an entire production system by sequentially executing a simulation of each partial model, and executes a simulation execution pattern including a combination of a simulation execution order of each partial model and an alternative of each partial model. Data input means for inputting as simulation execution pattern input data, and simulation execution management data used to select a partial model to be executed using the simulation execution pattern input data and to discriminate whether or not each partial model has executed a simulation. Means for creating simulation execution management data to be created; selecting a partial model to be executed using the simulation execution management data; Simulation execution management means for updating the simulation execution management data to that the simulation has been executed, simulation execution means for executing simulation on the partial model selected by the simulation execution management means to obtain simulation execution result data, and simulation execution pattern Input data,
Data storage means for storing simulation execution management data and simulation execution result data,
The simulation executing means executes a simulation of another partial model included in the simulation execution pattern by using a simulation execution result for one partial model stored in the data storage means, and the simulation execution order is a part of the simulation execution order. Since the simulation is sequentially executed from the model and the simulation execution result of the preceding partial model is referred to when executing the simulation of the subsequent partial model, a combination of a plurality of partial models divided from the entire production system and its alternatives is considered. Simulation of the entire production system can be executed, and the simulation execution time of a large-scale production system can be reduced.

[0012]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS (Embodiment 1) As shown in FIG. 3, a production system to which a simulation execution method and an execution apparatus according to the present embodiment is applied is a process in which a first equipment 10 is used to convert a product P1 into a product P1. , A second step of producing a product P2 from a product P1 using a second facility 11, and a product P2 using a third facility 12.
And a third step of producing a product (finished product) P3 from the product. In evaluating this production system by simulation, a model (simulation model) of the entire production system is divided into a partial model A of a first process, a partial model B of a second process, and a partial model C of a third process. When there are alternatives in each of the first to third steps, the partial models A1, A2,..., B1, B2,.
Are created, and a simulation is executed for a combination of the plurality of partial models A1. For example, in the first step, a partial model A1 in the case of two first equipments 10 and a partial model A2 in the case of three first equipments 10 are created. A partial model B1 in the case and a partial model B2 in the case of eight units are created, and in the third step, a partial model C1 in the case of two third facilities 12 and a partial model C2 in the case of three units
Create That is, in this case, the total combination of the production system is (first process: two ways) ×
(2nd step: 2 ways) × (3rd step: 2 ways) = 8
The street should be evaluated.

Here, the order of executing the simulation in the above example is as follows.
A2 is No. 1 and partial models B1 and B2 of the second process are 2
In the third step, the partial models C1 and C2 in the third step are numbered 3, and the simulation of each of the partial models A1. Therefore, the simulation execution pattern of the production system considering the alternative is represented by a tree structure as shown in FIG.

The simulation execution method according to the present embodiment simulates the simulation execution pattern composed of a combination of the simulation execution order of each partial model A1... And the alternative of each partial model as shown in FIG. A first step (S1) of inputting and storing as execution pattern input data, and using the simulation execution pattern input data stored in the first step, selection of partial models A1... To be executed and respective partial models A1. A second step (S2) of creating and storing simulation execution management data used to determine whether or not a simulation has been executed, and a part to be executed using the simulation execution management data stored in the second step Third step of selecting models A1 (S3)
A fourth step (S4) of executing a simulation on the partial models A1... Selected in the third step;
A fifth step (S) of storing simulation execution result data indicating a simulation execution result in the step of
5), a sixth step (S6) of updating and storing the simulation execution management data of the partial models A1... Simulated in the fourth step to the state where the simulation has been executed, and a sixth step (S6). If there is an unexecuted partial model A1... To be continuously executed with reference to the simulation execution management data, the third to sixth steps are repeated and the unexecuted partial model A to be executed is executed.
If there is no 1 ..., a seventh step (S7) of completing the simulation of the partial models A1.

A simulation execution apparatus for executing the simulation execution method of the present embodiment is shown in FIG.
As shown in FIG. 1, a data input unit 1 such as a keyboard, a simulation execution management data creating unit 2 for creating simulation execution management data, and a partial model A1 to be executed using the simulation execution management data are selected and simulation is executed. Partial model A1
, A simulation execution management unit 3 that updates the simulation execution management data to a state where the simulation has been executed, and a simulation execution that obtains simulation execution result data by executing a simulation on the partial models A1 selected by the simulation execution management unit 3. And a data storage unit 5 for storing simulation execution pattern input data, simulation execution management data, and simulation execution result data, and is configured by, for example, a general-purpose computer device.
The data storage unit 5 is configured by a semiconductor memory, a hard disk device, or the like built in the computer device.

Next, the operation of the simulation execution apparatus, that is, the simulation execution method of the present embodiment will be described in detail with reference to the drawings.

First, all the partial models A1,
A2, B1, B2, C1, C2 when the input from the data input unit 1 in accordance with a simulation execution order showing in FIG. 4, partial model A1 ... are stored in the partial model storage area 5 ¹ of the data storage unit 5 (storage) together, simulation pattern input data consisting of eight combinations of the above-described partial model (simulation execution pattern) is stored in the simulation execution input data storage area 5 ² of the data storage unit 5 as shown in FIG. 5 (Fig. 1 In S1). The eight simulation execution patterns are identified by pattern IDs 1 to 8.

[0018] Then, by using the simulation execution pattern input data stored in the simulation input data storage area 5 ² As shown in FIG. 6, the simulation management data creation unit 2 simulation execution management data is created by the data storage It is stored in the simulation management data storage area 5 ³ parts 5 (see S2 in Fig. 1). Here, the operation of the simulation execution management data creation unit 2 will be described in detail with reference to the flowchart of FIG.

Firstly, simulation management data creation section 2 by the simulation execution input data storage area 5 ² from the simulation execution pattern input data is read, for each column of the execution order of simulation execution pattern input data as shown in FIG. 6 run partitioned column is added and stored as a simulation execution management data to the simulation execution management data storage area 5 ³ of the data storage device 5 (S1 in FIG. 7). And
Pattern IDs 1-8 of simulation execution management data
Is set to 1 (corresponding to S in FIG.
2) The values of all the execution sections existing in the row at the position indicated by the row counter (that is, the pattern ID 1) are set to “0” (S3 in the same figure). Here, the execution category is whether or not the simulation of each partial model A1 has been executed,
That is, when “0” is not executed (not executed),
The case where “1” is executed (executed) is shown. Then, the value of the row counter is incremented by 1 (S4 in the figure), and the steps of S3 and S4 are repeated until the value of the row counter becomes larger than the number of patterns (the number of pattern IDs) existing in the simulation execution pattern input data. Repeatedly, when the value of the row counter becomes larger than the number of patterns, the simulation execution management data creation processing by the simulation execution management data creation unit 2 ends.

[0020] Next a procedure by simulation management data storage area 5 ³ using the simulation execution management data stored in the simulation execution management unit 3 and the simulation executing unit 4 simulation runs, flow and simulation of FIG. 8 This will be described in detail with reference to FIG. 9 showing the transition state of the management data.

Firstly, the value of the execution division from the smaller value of the simulation execution management unit is 3 towards the simulation management data storage area 5 ³ smaller the value of the execution order of the simulation execution management data by and the pattern ID is read (S1 in FIG. 8), it is determined whether the value of the execution section is 0 (S2 in FIG. 8), and the value of the execution section is 0.
In this case, the partial model name (for example, A1) is instructed to the simulation execution unit 4. Part model corresponding to the simulation executing unit 4 partial model name A1 instructed in (simulation model) A1 is read from the partial model storage area 5 ¹ The simulation runs (S3 in FIG.), The simulation result data simulation results are stored in the data storage area 5 ⁴ (S4 in the figure). As shown in FIGS. 9A and 9B, the value of the execution category is changed by the simulation execution management unit 3 for all the partial model names A1 considered to have been executed by the simulation execution for the entire simulation execution management data. 1 (S in FIG. 8)
5). Then, the simulation execution management unit 3 determines whether or not the values of all the execution sections present in the simulation execution management data are 1; if the value of the execution section is not 1, that is, if there is a value of 0, the above step is performed. The processing of S1 to S5 is repeated, and when all the values of the execution sections become 1 as shown in FIG. 9C, the simulation execution processing ends (S6 of FIG. 9).

Here, as described above, the pattern ID 1
The time (execution time) required when all the simulation execution patterns corresponding to Nos. To 8 are executed will be examined in comparison with the present embodiment and a conventional simulation execution method (hereinafter, referred to as a conventional example). Note that the simulation execution time of each of the partial models A1 is represented by a common value T for simplicity of description.

As shown in FIG. 11, in the conventional example, a total of eight simulation models are created in consideration of the above alternatives, and each simulation model is sequentially executed. The execution time of each simulation model is a value 3 which is three times the execution time T of the partial models A1.
T, the total execution time required to execute all eight simulation models is 3T × 8 = 24T
Becomes

On the other hand, in the present embodiment, a total of six partial models A1, A2, B1, B2, C1, and C2 that are divided into three and each have two types of alternatives are created.
Eight types of simulation execution patterns in which the partial models A1 and A2 are No. 1, the partial models B1 and B2 are No. 2, and the partial models C1 and C2 are No. 3 are represented by a tree structure as shown in FIG. As shown, the simulation of each of the partial models A1 is sequentially executed. Here, in the present embodiment, the simulation is sequentially executed from the partial model whose simulation execution order is earlier, and the simulation execution result of the earlier partial model is referred to when executing the simulation of the subsequent partial model. Only one execution of the partial model A1 is required, and the execution time 3T according to the number of times (three times) the partial model A1 is repeatedly executed as compared with the conventional example can be reduced. Further, the execution time of the partial model A2 can be similarly reduced by 3T, and the execution time of each of the partial models B1 and B2 can be reduced by 2T. That is, in the present embodiment, the total number of executions of the partial models A1... Is larger than that of the conventional example, but the total execution time is 14T, which is shorter by 10T than the total execution time 24T of the conventional example. Can be.

As described above, according to the simulation execution method and the execution apparatus of the present embodiment, it is possible to execute the simulation of the entire production system in consideration of a combination of a plurality of partial models divided from the entire production system and the alternatives. In addition, the simulation execution time of a large-scale production system can be reduced.

(Embodiment 2) The present embodiment is characterized in that the simulation execution management data is configured as a set of two adjacent partial models in order following the simulation execution order. Since the configuration and the like of the simulation execution device are common to the first embodiment, illustration and description of common points are omitted.

The simulation execution management data is shown in FIG.
As shown in Fig. 2, the simulation execution order is 1 or 2
No. partial model names A1, A2, B1 and B2 are set together with their execution categories, and an "IF area" and the partial model names B1 and B whose simulation execution order is the second or third
2, C1 and C2 are set together with the execution category “T
If the simulation of the partial model A1 having the partial model name (for example, A1) set in the “IF area” is executed, the “THEN area” is expanded.
The simulation of the partial model B1 having the partial model name (for example, B1) set in (1), that is, the partial model referring to the simulation execution result of the partial model A1 set in the “IF area” can be executed.

Next, the procedure for creating the above-mentioned simulation execution management data by the simulation execution management data creation section 2 will be described in detail with reference to the flowcharts of FIGS.

First, as shown in FIG. 12, the row counter values of the simulation execution pattern input data (hereinafter abbreviated as "data") and the simulation execution management data (hereinafter abbreviated as "data") are set to "1". Then, the value of the data column counter R1 is set to "1" and the value of the column counter R2 is set to "2" (S2 in FIG. 13). Next, for the data, the value of the intersection K1 of the column counter R1 and the row counter and the value of the intersection K2 of the column counter R2 and the row counter are read (S3 in FIG. 13). Then, it is determined whether or not a value exists at both the intersections K1 and K2 (S4 in FIG. 13).
If there is, for the record indicated by the data row counter, the value of the pattern ID is written to the record indicated by the data row counter (S5 in FIG. 13). Then, the value of the intersection K1 is written to the partial model name of the IF area of the record indicated by the row counter of the data, and at the same time, the value of the execution section is set to 0 (S6 in FIG. 13). Further, the value of the intersection K2 is written into the partial model name in the THEN area of the record indicated by the row counter of the data, and at the same time, the value of the execution section is set to 0 (S in FIG. 13).
7). Then, the values of the data column counters R1 and R2 are each increased by 1 (S8 in FIG. 13), and the value of the data row counter is incremented by 1 (S8 in FIG. 13).
9). Steps S3 to S3 in FIG. 13 are performed until a value no longer exists in at least one of the intersections K1 and K2.
The process of No. 9 is repeated, and if the value no longer exists at at least one of the intersections K1 and K2, the value of the data row counter is incremented by 1 (S10 in FIG. 13). further,
The number of data present in the data is compared with the value of the row counter of the data (S11 in FIG. 13). If the value of the row counter is small, the process returns to step S2 in FIG. Becomes larger, the process of creating the simulation execution management data ends.

[0030] Then by using the above-described simulation execution management data stored in the simulation management data storage area 5 ³ simulation execution management unit 3 and the simulation executing unit 4 a procedure simulation runs, 14 and 15 This will be described in detail with reference to a flowchart and FIG. 16 showing transition states of the simulation execution management data.

First, the value of the row counter in the simulation execution management section 3 is set to 1 (S1 in FIG. 14),
All the row data of the simulation execution management data corresponding to the value of this row counter is read into the simulation execution management unit 3 (S2 in FIG. 14). If the value of the execution section of the IF area of the read line data is 0, the partial model name corresponding to the place where the value of the execution section is 0 is instructed to the simulation execution unit 4 and stored ( S3 in FIG. 14 and S1 in FIG. 15). Part model corresponding to the simulation executing unit indicated partial model name in 4 (simulation model) is read from the partial model storage area 5 ¹ The simulation runs (S2 in FIG. 15), the simulation result data simulation result data It is stored in the storage area 5 ⁴ (S3 in FIG. 15). The value of the row counter is set to 1 in the simulation execution management unit 3 (S in FIG. 15).
4) All the row data of the simulation execution management data corresponding to the set row counter value are read (S5 in FIG. 15), and the partial model in the read row data as shown in FIG. The value of the execution category at which the stored name matches the stored (simulated) partial model name is set to 1 (S6 in FIG. 15). Then, the value of the row counter of the simulation execution management unit 3 is incremented by 1 (S7 in FIG. 15), and the number of data present in the simulation execution management data is compared with the value of the row counter (S8 in FIG. 15). Is smaller, the processing of steps S5 to S8 in FIG. 15 is repeated, and the IF of the simulation execution management data is repeated.
As shown in FIGS. 16A and 16B, the value of the execution category is set to 1 by the simulation execution management unit 3 for all partial model names that are considered to have been executed by the simulation for the entire area.

On the other hand, if the value of the execution section in the IF area of the line data is set to 1, the THEN of the line data
It is determined whether or not the value of the execution section of the area is 0 (S4 in FIG. 14). If the value of the execution section is 0, the corresponding partial model name is instructed to the simulation execution section 4 and stored (FIG. 14). 15 S1). Part model corresponding to the simulation executing unit indicated partial model name in 4 (simulation model) is read from the partial model storage area 5 ¹ The simulation runs (S in FIG. 15
2), the simulation result data is stored in the simulation result data storage area 5 ⁴ (Fig. 15 S
3). Further, the value of the row counter is set to 1 by the simulation execution management unit 3 (S4 in FIG. 15), and all the row data of the simulation execution management data corresponding to the set row counter value is read (FIG. 15). S5) The value of the execution section where the partial model name in the read row data matches the stored partial model name (simulation is executed) is set to 1 (S6 in FIG. 15). Then, the value of the row counter of the simulation execution management unit 3 is incremented by 1 (S7 in FIG. 15), and the number of data present in the simulation execution management data is compared with the value of the row counter (S8 in FIG. 15). If the value of is smaller than that of steps S5 to S5 in FIG.
8 is repeated, and the value of the execution category is set to 1 by the simulation execution management unit 3 for all partial model names that are considered to have been executed by the simulation execution for the entire THEN area of the simulation execution management data. You.

Next, the simulation execution management section 3 increments the value of the row counter by 1 (S5 in FIG. 14), and compares the number of data present in the simulation execution management data with the value of the row counter (S6 in FIG. 14). On the other hand, if the value of the row counter is smaller, steps S2 to S2 in FIG.
6 is repeated, and the simulation execution process ends when all the values of the execution categories become 1 as shown in FIG.

According to the simulation execution method and the execution apparatus of the present embodiment as described above, the simulation execution management data can be handled as a fixed data set. Therefore, even when the number of partial models is increased, the simulation execution is performed. There is an advantage that management data can be easily managed as a data file.

(Embodiment 3) In the present embodiment, the simulation execution management data includes, as shown in FIG. 17, a model name setting area in which the names of all partial models to be simulated are set, and each simulation execution pattern Are developed in a simulation execution flag management table including a pattern ID area indicating a pattern ID and a flag setting area indicating whether or not an individual partial model set in the model name setting area for each pattern ID is included. There is a feature in that the simulation execution device is otherwise the same as in the first embodiment, so illustration and description of the common points are omitted.

Next, the procedure for creating the simulation execution management data (simulation execution flag management table) by the simulation execution management data creation unit 2 will be described in detail with reference to the flowcharts of FIGS.

First, all the partial model names A1 to C2 included in the simulation execution pattern input data (hereinafter, abbreviated as "data") are read by the simulation execution management data creating unit 3 (S1 in FIG. 18), and FIG.
As shown in FIG. 7 (b), all of these partial model names A1.
Is written in the simulation execution management data (hereinafter abbreviated as “data”) (S2 in FIG. 18). Then, the value of the data and the row counter of the data are set to 1 (S3 in FIG. 18), and all the values of the record indicated by the row counter of the data are read (S3 in FIG. 18).
4). Next, the partial model name in the partial model name setting area W1 of the data (see FIG. 17B) is compared with the partial model name included in the read record, and if they match, the data row counter indicates. The value of the flag at the intersection of the record and the partial model name is set to 1, and if they do not match, the value of the flag is set to 0 (S5 in FIG. 18). Then, the value of the data and the row counter of the data are each incremented by 1 (S in FIG. 18).
6) The number of data existing in the data is compared with the value of the row counter of the data (S7 in FIG. 18). When the value of the row counter is small, the processing of steps S4 to S7 in FIG. 18 is repeated, and when the value of the row counter is large, the process of creating the simulation execution management data ends, and FIG. simulation execution management data shown (simulation execution flag management table) simulation management data storage area 5 ³
Is stored in

[0038] The next steps by simulation management data storage area 5 ³ using the simulation execution management data stored in the simulation execution management unit 3 and the simulation executing unit 4 simulation runs, flow and simulation of FIG. 19 This will be described in detail with reference to FIG. 20 showing the transition state of the execution management data.

First, the value of the row counter in the simulation execution management section 3 is set to 1 (S1 in FIG. 19),
The value of the column counter is increased by one from the first position (the leftmost position in FIG. 20B) to the last position (the rightmost position in FIG. 20B) (S2 in FIG. 19), and the column counter is incremented. It is determined whether or not there is a place where the value of the flag is set to 1 up to the last position of (step S in FIG. 19).
3). Then, the partial model name corresponding to the place where the value of the flag is set to 1 is instructed from the simulation execution management unit 3 to the simulation execution unit 4, and the partial model name corresponding to the partial model name instructed in the simulation execution unit 4 (simulation model) simulation is read from the partial model storage area 5 ¹ is executed (S4 in FIG. 19). Then, the simulation with the results data is stored in the simulation result data storage area 5 ^4, the value of the flag corresponding to the executed portion model name is changed and set by the simulation execution management unit 3 from 1 0 (in FIG. 19 S5).
If all the flag values have been set to 0 up to the final position of the column counter, the value of the row counter is incremented by 1 (S6 in FIG. 19), and the number of data and the row The values of the counters are compared (S7 in FIG. 19). When the value of the row counter is smaller, the processing of steps S2 to S7 in FIG. 19 is repeated, and when the values of the flags all become 0 as shown in FIG. finish.

According to the simulation execution method and execution apparatus of the present embodiment as described above, there is an advantage that the progress of simulation execution can be easily grasped from the simulation execution flag management table (simulation execution management data).

(Embodiment 4) By the way, once all the simulations have been completed, the parameters of the partial model may be corrected or changed based on the results, and the simulation may be executed again. By using the results of the previous simulation for the partial models that have not been performed, and executing only the modified or changed partial models, the number of simulations can be reduced and the total execution time can be reduced. It is possible.

Therefore, in this embodiment, as shown in FIG. 21, a simulation model for storing simulation model modification presence / absence data for distinguishing between a modified or modified partial model and a modified or unmodified partial model. Correction presence / absence data storage area 5 ⁵ is the data storage unit 5
, A simulation execution management data creation unit 2
, The simulation execution management data of the partial model that has not been modified or changed with reference to the simulation modification presence / absence data is subjected to the process of performing the simulation. The other configuration of the simulation execution apparatus is described in the second embodiment.
Therefore, common points are denoted by the same reference numerals and description thereof is omitted.

The simulation model modification presence / absence data has a structure as shown in FIG. 22. The “execution order classification” and “partial model name” corresponding to the simulation execution order and each partial model is modified or changed. 1 is set when the data is correct, and 0 is set when the data is not corrected or changed. The data is input from the data input unit 1. In the present embodiment, a case where the partial models A2, C1, and C2 are modified or changed as shown in FIG. 22 and the other partial models A1, B1, and B2 are not modified or changed will be described as an example. It is needless to say that the present invention is not limited to this.

Next, after the simulation execution management data is created by the simulation execution management data creation unit 2, the simulation execution management data of the partial model that has not been modified or changed is referred to by referring to the simulation modification data. The procedure of the process to be executed will be described in detail with reference to the flowcharts of FIGS.

First, the value of the execution order identification counter is set to 1 (S1 in FIG. 23), and the data (execution order) at which the value of the execution order identification counter matches the value of the execution order classification of the simulation model modification presence / absence data. Classification is "1"
Are read into the simulation execution management data creation unit 2 (S2 in FIG. 23), and it is determined whether there is a simulation model (partial model) that has not been corrected in the data (FIG. 23). 23 S
3). In this case, since the partial model A1 has not been modified, the execution of all IF areas in which the unmodified partial model name A1 matches the partial model name in the IF area of the simulation execution management data as shown in FIG. The value of the section, that is, the value of the execution section where the partial model name is set to “A1” is set to 1 (S4 in FIG. 23). Then, the value of the execution order identification counter is incremented by 1 (S5 in FIG. 23), and whether or not there is an execution order classification value that matches the value of the execution order identification counter (= 2) in the simulation model correction presence / absence data Is determined (S6 in FIG. 23). In this case, the execution order category is "2"
All the data at the point (1) is read into the simulation execution management data creation unit 2 (S7 in FIG. 23), and it is determined whether or not there is a simulation model (partial model) that has not been corrected in the data (FIG. 23). S8).
Here, in the case of the present embodiment, since the partial models B1 and B2 have not been modified, the processing in the simulation execution management data creation unit 2 ends.

If the partial model B2 has been modified, if the partial model name B1 that has not been modified matches the partial model name in the THEN area of the simulation execution management data, the execution classification of all IF areas That is, when the value of the execution section where the partial model name is set to “B1” is set to 1 and the partial model name of the IF area of the record immediately below also matches, the IF area Is also 1
, And thereafter, the processing of steps S5 to S9 in FIG. 23 is repeated (S9 in FIG. 23).

[0047] Then, Embodiment 2 with reference to the simulation execution management data stored in the simulation execution management data storage area 5 ³ As described in the simulation execution management unit 3 and the simulation executing unit 4
, The simulation is executed. However, the past simulation execution result can be used for the partial model in which the value of the execution section is already set to 1.

According to the simulation execution method and execution apparatus of the present embodiment as described above, it is necessary to execute the simulation of the partial model again if the partial model for which the simulation has been executed has not been modified or changed. Therefore, there is an advantage that the total number of times of executing the simulation can be reduced by reducing the number of times of executing the simulation.

(Embodiment 5) By the way, there are partial models X1, X2 and X3 of the process in which the number of facilities is a constant change such as one, two, and three, respectively.
When the simulation result data such as the operation rate of the facility is related or proportional to the above-mentioned constant change, the simulation execution result of the partial model X1 in which the number of facilities is one is a predetermined value. If the limit value is not satisfied, the partial model X with an increased number of facilities
It is not necessary to perform the evaluation by the simulation of X2 and X3. As a result, the number of times of executing the simulation can be reduced, and the total execution time can be reduced.

Therefore, in this embodiment, the presence / absence of the relationship between the simulation execution result data and the alternatives of the respective partial models and the constraint conditions are stored in the data storage unit 5 as the simulation model related presence / absence data. stores in the area 5 ^6, simulation alternatives depending on whether the constraint condition is satisfied or not which one of the partial models with reference to the simulation model relevant whether data simulated data in the case of there relevant corresponding It is characterized in that it is determined whether or not it is necessary. The other configuration of the simulation execution device is the same as that of the second embodiment, and the common points are denoted by the same reference numerals, and description thereof is omitted.

The simulation model association presence / absence data has a structure as shown in FIG. 25, and is composed of "partial model name", "association presence / absence", and "constraints" when there is association. Input from the input unit 1. In the present embodiment, as shown in FIG.
1 and B2 are related as described above, and the “maximum stay amount” included in the simulation execution result is 10
The case where the following constraint condition is set will be described as an example, but it is needless to say that the present invention is not limited to this.

[0052] Next, using the simulation model related whether data stored in stored in the simulation management data storage area 5 ³ simulation execution management data and the simulation model associated presence data storage area 5 ^6, the simulation execution management unit 3 and The procedure in which the simulation is executed by the simulation executing unit 4 will be described with reference to the flowcharts in FIGS. However, since the basic procedure is the same as that of the second embodiment, the common points will be described only briefly.

First, the value of the row counter in the simulation execution management section 3 is set to 1 (S1 in FIG. 14),
All the row data of the simulation execution management data corresponding to the value of this row counter is read into the simulation execution management unit 3 (S2 in FIG. 14). If the value of the execution section of the IF area of the read line data is 0, the partial model name corresponding to the place where the value of the execution section is 0 is instructed to the simulation execution unit 4 and stored ( S3 in FIG. 14 and S1 in FIG. 26). Part model corresponding to the simulation executing unit indicated partial model name in 4 (simulation model) is read from the partial model storage area 5 ¹ The simulation runs (S2 in FIG. 26), the simulation result data simulation result data It is stored in the storage area 5 ⁴ (S3 in FIG. 26). Up to this point, it is completely common to the second embodiment.

In the present embodiment, the simulation execution management unit 3 determines whether or not a constraint condition is specified in the simulation model association presence / absence data for the simulation result data (S in FIG. 26).
4) If not, the value of the row counter is set to 1 (S5 in FIG. 26), and all the row data of the simulation execution management data corresponding to the set row counter value is read (FIG. 26). S6) The value of the execution section where the partial model name in the read line data matches the stored partial model name (simulation is executed) is set to 1 (S7 in FIG. 26). Then, the value of the row counter of the simulation execution management unit 3 is incremented by 1 (S8 in FIG. 26), and the number of data existing in the simulation execution management data is compared with the value of the row counter (S9 in FIG. 26). If the value of is smaller, the processing of steps S6 to S9 in FIG. 26 is repeated, and the entire IF area of the simulation execution management data is processed for all partial model names considered to have been executed by the simulation. The value of the execution category is set to 1 by the simulation execution management unit 3.

On the other hand, when a constraint condition is specified in the simulation model related presence / absence data for the simulation result data, the value to be compared in the simulation result data is set to the constraint condition (retention maximum) in the simulation model related presence / absence data. It is determined whether or not the quantity is 10 or less (S10 in FIG. 26).
The process proceeds to step S5 of step S6. If the constraint condition is not satisfied, the simulation model related presence / absence data is referred to and the subsequent alternatives and the IFs corresponding to the lower order in the related simulation execution order. Area and THEN area execution category values are all 1
And the simulation execution of the other alternatives is stopped.

Thereafter, as long as the constraint conditions are satisfied, the simulation is executed in the procedure described in the second embodiment, and the simulation execution processing ends when the values of all the execution divisions in the simulation execution management data become 1. I do.

According to the simulation execution method and the execution apparatus of the present embodiment as described above, if the simulation execution result data does not satisfy the constraint conditions, the simulation of the alternative is not executed. There is an advantage that the total simulation execution time can be reduced.

[0058]

According to a first aspect of the present invention, there is provided a simulation execution method for executing a simulation of an entire production system by dividing an entire production system into a plurality of partial models and sequentially executing a simulation of each of the partial models. A first step of inputting and storing a simulation execution pattern composed of a combination of a simulation execution order of each partial model and an alternative of each partial model as simulation execution pattern input data, and a simulation execution stored in the first step A second step of using the pattern input data to create and store simulation execution management data used to select a partial model to be executed and to determine whether or not each partial model has executed a simulation; Simulation execution stored in the process Third step of selecting a partial model to be executed using physical data, fourth step of executing a simulation on the partial model selected in the third step, and a result of executing the simulation in the fourth step Fifth storing simulation execution result data indicating
And updating and storing the simulation execution management data of the partial model for which the simulation has been executed in the fourth step to “simulated execution”.
And if there is an unexecuted partial model to be continuously executed with reference to the simulation execution management data updated in the sixth step, the third to sixth steps are repeated and the unexecuted partial model to be executed If there is no, there is a seventh step of completing the simulation of the partial model, so that the simulation is executed sequentially from the partial model in the simulation execution order, and the simulation execution result of the previous partial model when the simulation of the subsequent partial model is executed , It is possible to execute a simulation of the entire production system in consideration of a combination of a plurality of partial models divided from the entire production system and alternatives thereof, and it is possible to reduce the simulation execution time of a large-scale production system. There is an effect that can be.

According to the second aspect of the present invention, the simulation execution management data is configured as a set of two adjacent partial models in order according to the simulation execution order. Since the simulation execution management data can be handled as a fixed data set, the simulation execution management data can be easily managed as a data file even when the number of partial models increases.

According to a third aspect of the present invention, the simulation execution management data includes a model name setting area in which the names of all the partial models to be executed are set, a pattern ID area indicating each simulation execution pattern, The present invention is developed in a simulation execution flag management table composed of a flag setting area indicating whether or not each partial model set in the model name setting area for each ID is included. In addition, there is an effect that the progress of simulation execution can be easily grasped from the simulation execution flag management table.

According to a fourth aspect of the present invention, there is provided simulation correction presence / absence data for distinguishing between a partial model that has been corrected or changed and a partial model that has not been corrected or changed, and refers to the simulation correction presence / absence data. 4. The method according to claim 2, further comprising the step of setting the simulation execution management data of the partial model that has not been modified and changed to the state where the simulation has been executed, in the second step.
In addition to the effects of the invention, if the partial model for which the simulation has already been executed has not been modified or changed, it is not necessary to execute the simulation of the partial model again. The effect is that the execution time can be reduced.

According to a fifth aspect of the present invention, the presence / absence of the relation between the simulation execution result data and the alternatives of the respective partial models and the constraint conditions are stored as the simulation model related presence / absence data, and the simulation model related presence / absence data is referred to. The effect of the invention according to claim 2 or 3, wherein when the first partial model has relevance, the necessity of executing the alternative simulation is determined depending on whether the simulation execution result data satisfies the corresponding constraint. In addition, if the simulation execution result data does not satisfy the constraint, the simulation of the alternative is not executed, so that there is an effect that the number of times of executing the simulation is reduced and the total simulation execution time can be shortened.

According to a sixth aspect of the present invention, there is provided a simulation execution device which divides the entire production system into a plurality of partial models and sequentially executes the simulation of each partial model to execute the simulation of the entire production system. Data input means for inputting a simulation execution pattern composed of a combination of the simulation execution order of the models and alternatives of each partial model as simulation execution pattern input data, and selection of a partial model to be executed using the simulation execution pattern input data Simulation execution management data creating means for creating simulation execution management data used for discriminating whether or not each of the partial models has been subjected to the simulation, and a part to be executed using the simulation execution management data Simulation execution management means for selecting Dell and updating the simulation execution management data for the simulation-executed partial model to “executed simulation”; and executing simulation for the partial model selected by the simulation execution management means. Simulation execution means for obtaining execution result data; and data storage means for storing simulation execution pattern input data, simulation execution management data, and simulation execution result data, wherein the simulation execution means is a part stored in the data storage means. The simulation of the other partial models included in the simulation execution pattern is executed using the simulation execution result for the model. Since the execution order is executed sequentially simulation from the previous part model, referring to simulation results of the previous part model upon simulation part model after,
The simulation of the entire production system can be executed in consideration of the combination of the plurality of partial models divided from the entire production system and the alternatives, so that the simulation execution time of a large-scale production system can be shortened.

[Brief description of the drawings]

FIG. 1 is a flowchart illustrating a simulation execution method according to a first embodiment.

FIG. 2 is a block diagram showing a simulation execution device according to the first embodiment;

FIG. 3 is an explanatory diagram illustrating a production system of the above.

FIG. 4 is an explanatory diagram of the above.

FIG. 5 is a diagram showing a data structure of simulation execution pattern input data in the above.

FIG. 6 is an explanatory diagram for describing a procedure for creating simulation execution management data in the above energy management system;

FIG. 7 is a flowchart for explaining a procedure for creating simulation execution management data in the above energy management system;

FIG. 8 is a flowchart for explaining a simulation execution procedure in the above.

FIG. 9 is an explanatory diagram for describing a simulation execution procedure in the above.

FIG. 10 is an explanatory diagram of the above.

FIG. 11 is an explanatory diagram of a conventional example in comparison with the above.

FIG. 12 is an explanatory diagram for describing a simulation execution procedure according to the second embodiment.

FIG. 13 is a flowchart for explaining a procedure for creating simulation execution management data in the above energy management system;

FIG. 14 is a flowchart for explaining a simulation execution procedure in the above.

FIG. 15 is a flowchart for explaining a simulation execution procedure in the above.

FIG. 16 is an explanatory diagram showing a transition state of simulation execution management data in the above.

FIG. 17 is an explanatory diagram for describing a simulation execution procedure in the third embodiment.

FIG. 18 is a flowchart illustrating a procedure for creating simulation execution management data in the above energy management system;

FIG. 19 is a flowchart for explaining a simulation execution procedure in the above.

20 (a) to 20 (c) are explanatory diagrams for explaining a simulation execution procedure in the above.

FIG. 21 is a block diagram illustrating a simulation execution device according to a fourth embodiment.

FIG. 22 is an explanatory view of the above.

FIG. 23 is a flowchart for explaining the above operation.

FIG. 24 is a block diagram illustrating a simulation execution device according to a fifth embodiment.

FIG. 25 is an explanatory diagram of the above.

FIG. 26 is a flowchart for explaining the above operation.

[Explanation of symbols]

1 data input unit 2 simulation execution management data creation unit 3 simulation execution management unit 4 simulation execution unit 5 data storage unit 5 ¹ partial model storage area 5 ² simulation execution input data storage area 5 ³ simulation execution management data storage area 5 ⁴ simulation results Data storage area

Continued on the front page (72) Inventor Yoshikazu Okishio 1048 Kadoma, Kazuma, Osaka Prefecture F-term in Matsushita Electric Works Co., Ltd. 5B049 AA01 AA04 BB07 CC11 EE41 GG07 5H269 AB27 BB07 BB12 NN16

Claims (6)

[Claims] 1. A simulation execution method for executing a simulation of an entire production system by dividing an entire production system into a plurality of partial models and sequentially executing a simulation of each of the partial models. And a first step of inputting and storing a simulation execution pattern composed of a combination of alternatives of each partial model as simulation execution pattern input data, and using the simulation execution pattern input data stored in the first step. A second step of creating and storing simulation execution management data used to select a partial model to be executed and to determine whether or not each partial model has been subjected to simulation; and a simulation execution management stored in the second step. Using data Third to select the partial model to be executed
A fourth step of executing a simulation on the partial model selected in the third step, a fifth step of storing simulation execution result data indicating a result of the simulation in the fourth step, A sixth step of updating and storing the simulation execution management data of the partial model for which the simulation has been executed in the fourth step as having been executed, and referring to the simulation execution management data updated in the sixth step. A third step of repeating the third to sixth steps if there is an unexecuted partial model to be continuously executed, and completing a simulation of the partial model if there is no unexecuted partial model to be executed. Method of executing simulation of production system. 2. The simulation execution method for a production system according to claim 1, wherein the simulation execution management data is configured as a set of two adjacent partial models in the order of the simulation execution order. 3. The simulation execution management data includes a model name setting area in which the names of all partial models for which simulation is to be executed are set, a pattern ID area indicating each simulation execution pattern, and a model name for each pattern ID. 2. The simulation execution of the production system according to claim 1, wherein the simulation execution flag management table includes a flag setting area indicating whether or not each of the partial models set in the setting area is included. Method. 4. A simulation modification presence / absence data for distinguishing between a partial model having been modified or changed and a partial model having not been modified / changed, and the modification / change performed by referring to the simulation modification presence / absence data. The process of making the simulation execution management data of the partial model that has not been
4. The method for executing a simulation of a production system according to claim 2, wherein the method is provided in the step of: 5. A method for storing whether or not there is a relationship between the simulation execution result data and an alternative of each partial model and a constraint condition as simulation model-related presence / absence data. 4. The simulation of the production system according to claim 2, wherein whether or not the simulation execution result data satisfies the corresponding constraint condition is determined in the case of the relation, whether or not the simulation of the alternative is necessary. Execution method. 6. A simulation execution device that divides an entire production system into a plurality of partial models and sequentially executes a simulation of each of the partial models to execute a simulation of the entire production system. Data input means for inputting a simulation execution pattern composed of a combination of alternatives of each partial model as simulation execution pattern input data, selecting a partial model to be executed using the simulation execution pattern input data, and selecting each partial model. When a simulation execution management data creation unit that creates simulation execution management data used to determine whether or not a simulation has been executed, and a partial model to be executed using the simulation execution management data are selected. In both cases, the simulation execution management means updates the simulation execution management data for the simulation-executed partial model to the state where the simulation has been executed, and the simulation is executed on the partial model selected by the simulation execution management means and the simulation execution result data is obtained. And a data storage unit for storing simulation execution pattern input data, simulation execution management data, and simulation execution result data, wherein the simulation execution unit executes a simulation on one partial model stored in the data storage unit. A simulation of a production system characterized by executing a simulation of another partial model included in a simulation execution pattern using the result. Deployment execution device.