JP2007041950A - Production simulation management apparatus - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To display precautions of a simulation model found and results of comparison with an actual production system, and display other simulation models including the same components. <P>SOLUTION: A production simulation management apparatus comprises a simulation model storage means 2 for storing simulation models, a simulation content storage means 3 for storing data used in simulations and simulation results, a simulation history storage means 4 for saving a history of simulation models, a performance data storage means 5 for storing performance data, a comparison content storage means 6 for saving comparison contents between the simulation results and the performance data, a search means 7 for searching the simulation models on specified conditions, a simulation model selection means 10 for automatically selecting a suitable simulation model, and a search result display means 11 for selecting and displaying predetermined information. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a production simulation management apparatus, and more particularly to a production simulation management apparatus that records and reuses a built simulation model.

  In general, the production simulation is performed in the steps shown in FIG. FIG. 10 is a flowchart showing an example of a conventional production simulation.

  First, after determining a production system to be simulated (step S71), data necessary for the simulation is obtained (step S72), and a simulation model is created (step S73). Thereafter, it is confirmed (evaluated) whether the simulation model is correctly created (step S74).

  If there is a problem as a result of this evaluation (if the determination result in step S74 is “NG”), the simulation model is corrected (changed) (step S73).

  On the other hand, if there is no problem (if the determination result in step S74 is “OK”), an experimental method using simulation is examined (step S75), and a simulation experiment is performed to perform simulation under various conditions ( In step S76), the simulation result is presented to the parties concerned (step S77), and the production simulation is terminated.

  In such a production simulation, programming work is required so that the simulation model is suitable for the simulation target. In general production systems, the type and number of products to be produced, the scale of the factory, Each factory is likely to have its own production system depending on the affiliated company, logistics method, and factory manager's intention, etc., so it often builds its own simulation model. In addition, simulation data is an important content that greatly affects the accuracy of the simulation, but this data collection work collects a lot of data from the site or predicts the data if there is no site yet, and statistical distribution Need to be defined.

In addition, a simulation system has been proposed in which the process from creation to evaluation of a simulation model is performed consistently, thereby reducing the user's operation and reducing a series of processing times (for example, see Patent Document 1). ). This simulation system inputs the work pattern of the basic model for each standard work pattern necessary to create the simulation basic model, and edits the specific processing procedure to be evaluated and the process change, etc. This is a system for generating an execution program for simulating each factor.
JP-A-5-242070

  However, the above-described conventional simulation system has a problem that the range that can be covered with a standard work pattern for a unique production system becomes small, and the number of change work according to the target increases. In order to reduce such modification work, it is conceivable to add a comment to the completed simulation model, save it, and reuse it. However, in order to reuse the saved simulation model, it takes time and effort to examine the comments one by one, and when the number of saved simulation models increases, the most suitable simulation model is searched for by the contents of the comments. Had the problem of limitations.

  The present invention has been devised to solve the above problems, and when searching for a target simulation model from a stored simulation model, even if the number and types of stored simulations are large, By making it possible to easily search, by making it possible to display notes on the searched simulation model, comparison results with the actual production system, and other simulation models that contain the same components, The present invention provides a production simulation management apparatus capable of shortening a simulation model creation period and improving the accuracy of a simulation model.

  In order to solve the above problems, the production simulation management apparatus of the present invention, as shown in FIG. 1, stores simulation model storage means 2 for storing a simulation model, and stores simulation contents for storing data and simulation results used in the simulation. Means 3, simulation history storage means 4 for storing simulation model history, performance data storage means 5 for storing actual production system performance data, and comparison content storage for storing comparison results between simulation results and performance data And a simulation asset storage means 1 including means 6. Further, a search means 7 for searching for a simulation model according to specified conditions, a simulation model selection means 10 for automatically selecting a simulation model closest to the specified contents, the simulation model storage means 2, and the simulation content storage means 3 And a search result display means 11 for selecting and displaying predetermined information from information stored and stored in the simulation history storage means 4, the result data storage means 5 and the comparison content storage means 6.

  When a simulation model closest to the content specified by the simulation model selection means 10 is automatically selected, preset values and / or preset values are set for a plurality of evaluation items used as criteria for determination. Calculate the score based on the calculated formula, calculate the sum of the scores of all evaluation items for each simulation model (model score), and select the simulation with the highest model score as the simulation model closest to the specified content. elect.

  In addition, the simulation model selected by the simulation model selection means 10 and the actual production system that is the target of the simulation model have a large difference, and are difficult to predict at the simulation model creation stage. It may further comprise a caution item extracting means 8 for extracting information related to the contents designated in advance from the contents (information) recorded in the comparison content accumulation means 6 as caution items. In this case, it is possible not only to know the problems of the past simulation, but also to understand the problems of the actual production system, and to consider the correspondence to the similar problems in advance. As a result, it is possible to create a more accurate simulation model and to obtain a proposal material for realizing a realistic and effective production system.

  The apparatus further includes related model extraction means 9 for extracting a simulation model related to the simulation model searched by the search means 7, and the simulation model to be extracted is a simulation model before change, a simulation model after update, And a reference simulation model. In this case, data relating to simulation models created in the past can be used effectively.

  The post-change simulation model is a simulation model obtained by creating a simulation model carried out in the past, and the pre-change simulation model most closely matches the content specified when creating the post-change simulation model. Since it is a near simulation model, it is a simulation model selected as a suitable simulation model. The reference simulation model is composed of a reference simulation model and a reference simulation model, and the reference simulation model is configured as a component of the suitable simulation model when a suitable simulation model is created. It is another simulation model in which a part of the element is used, and the reference source simulation model is another simulation model created by using a part of the components of the appropriate simulation model.

  Since the production simulation management device of the present invention has the above-described configuration, when searching for a target simulation model from the stored simulation model, even if there are a large number or types of stored simulation models, the search can be easily performed. It is possible to display the notes of the searched simulation model and the comparison result with the actual production system, and other simulation models including the same components. As a result, it is possible to shorten the simulation model creation period and improve the accuracy of the simulation model.

  Hereinafter, an embodiment of a production simulation management apparatus of the present invention will be described with reference to the drawings.

  FIG. 1 is a schematic configuration diagram showing an embodiment of a production simulation management apparatus of the present invention.

  As shown in FIG. 1, the production simulation management apparatus of the present embodiment includes a simulation asset storage unit 1, a search unit 7, a note extraction unit 8, a related model extraction unit 9, a simulation model selection unit 10, and a search result display unit. 11, a model creation data providing unit 12, a model creation unit 13, a simulation execution unit 14, a registration unit 15, and a search list storage unit 30. Furthermore, an input unit (not shown) such as a keyboard or a mouse used when inputting data or instructing processing may be provided.

  The simulation asset storage unit 1 further includes a simulation model storage unit 2, a simulation content storage unit 3, a simulation history storage unit 4, a performance data storage unit 5, and a comparison content storage unit 6. An example of the information is shown in FIG.

  In FIG. 2, the content name with “ID” is a number indicating the actual state stored in the same storage means or different storage means, and this actual state is stored in the most relevant storage means. In order to indicate different storage means, “(reference)” is added to the name of the content.

  The simulation model accumulating unit 2 accumulates a simulation program (contents of a simulation program ID described later) and data necessary for executing the simulation program (that is, a simulation model (contents of a simulation data ID described later)). As specific examples of the recorded contents, as shown by reference numeral 16 in FIG. 2A, model ID, simulation program ID, simulation data ID, creation date, factory, production type, number of production, process And facilities.

  The simulation content storage means 3 is data used in the simulation (that is, simulation data, which is referred to other storage means using the simulation data ID here) and simulation results (simulation described later). As a specific example of the recorded contents, model ID (reference), simulation data ID (reference), simulation, as shown by reference numeral 17 in FIG. Result ID and creation date. Here, as the simulation result ID, as shown in the result contents 21 (see FIG. 2F) described later, the number of inputs, the volume, the in-process, the LT, the personnel, and the production efficiency are increased. Note that LT is the lead time, which is the time from when a workpiece to be produced is input until it is paid out.

  The simulation history storage means 4 stores a simulation model before change (model before change), a simulation model after change (model after change), and a reference simulation model as histories, and specific examples of the recorded contents are as follows. As shown in FIG. 2C using reference numeral 18, the model ID (reference), the model ID after change (reference), the reason for change, the change content, the model ID before change (reference), the reference model ID ( Reference), reference destination process, reference source model ID (reference), reference source process, and change data ID.

  The post-change simulation model is a simulation model obtained by creating a simulation model performed in the past, and the pre-change simulation model is specified when the post-change simulation model is created. Since it is the simulation model closest to the contents, it is a simulation model selected as a suitable simulation model. The reference simulation model includes a reference destination simulation model (reference destination model) and a reference source simulation model (reference source model). The reference destination model is a configuration of an appropriate simulation model when an appropriate simulation model is created. This is another simulation model in which a part of the component is used as a part of the element, and the reference model is another simulation created using a part of the component of the appropriate simulation model. It is a model.

  The performance data storage means 5 stores the contents (result data) of the performance data ID of the actual production system that is the object of the simulation. Specific examples of the recorded contents include a model ID (reference), a creation date, a factory, a production type, a production quantity, a process, equipment, and an actual data ID as shown by reference numeral 19 in FIG. is there. The contents indicated by the record data ID are the same as the contents of the result contents 21 (see FIG. 2F) described later.

  The comparison content storage means 6 stores the comparison content between the simulation result and the actual data. As a specific example of the recorded content, as shown by reference numeral 20 in FIG. (Reference), comparison result ID, note classification, and note importance. The items of data indicated by the comparison result ID are the same as the items of the result contents 21 (see FIG. 2 (f)), which will be described later. However, the comparison contents storage means 6 uses the difference between the simulation and the results as the contents. Is recorded.

  Moreover, specific examples of the items of the result contents 21 shown in FIG.

  The search means 7 searches for a simulation model in the simulation asset storage means 1 in accordance with a condition indicated by selecting a classification or a keyword.

  Here, an example of a search procedure when performing a search by classification will be described with reference to the drawings.

  FIG. 3 is an explanatory diagram showing an example of a search screen displayed when the search is performed by the search means constituting the production simulation management apparatus shown in FIG. This search screen is displayed on the search result display means 11.

  This search screen is, for example, a list in which production varieties 71 are arranged horizontally and processes 72 are arranged vertically. The process parts covered by each simulation model are displayed with ◯ as indicated by reference numeral 73. In the bottom row, the registered number 74 of registered simulation models is displayed.

  When there is a simulation model to be searched, the search is started by pressing a button (displayed as “search”) 75 below the number of registered items (selecting using an input means).

  Next, an example of a search procedure when performing a search by keyword will be described with reference to the drawings.

  FIG. 4 is an explanatory diagram illustrating an example of keywords that are input using an input unit or the like when a search is performed by the search unit that configures the production simulation management apparatus illustrated in FIG. 1.

  In the figure, as shown by reference numeral 40, as an example of the input items for the simulation model search, there are a production type, a production quantity, a process, a model and equipment as shown in FIG. 4B, for each of the production types, processes, models, and facilities shown in FIG. 4B, a list for each item stored in the search list storage means 30 shown in FIG. 1 (see FIG. 4C to FIG. 4F). ) To select a desired option using an input means or the like. On the other hand, a desired numerical value is input using the input means or the like for the number of production units.

  Among the list for each item, specific examples of the production type list 42 are a mobile phone, a personal digital assistant, a printer, and a facsimile as shown in FIG. 4C. Specific examples of the model list 43 are: As shown in FIG. 4D, A1MB10, A1MB11, A2MB13, A2MB11, and A2MB21. Specific examples of the process list 44 include parts delivery, parts storage, parts supply, As shown in FIG. 4 (f), a specific example of the equipment list 45 is assembly, adjustment, inspection, and packing. As shown in FIG. 4 (f), a belt conveyor, a roller conveyor, an automatic transport vehicle (AGV), a tracked carriage, a ceiling transport, an automatic Warehouse and elevator.

  The search may be executed by combining a search by classification and a search by keyword.

  The precaution extraction unit 8 extracts precautions from the comparison content storage unit 6 that should be particularly noted when creating a simulation model. An example of precaution information handled by the precaution extraction means 8 is shown in FIG.

  FIG. 5 is an explanatory diagram showing an example of precaution information related to classification handled by the precaution extraction unit constituting the production simulation management apparatus shown in FIG.

  Here, as indicated by reference numerals 51 to 53, there are three types of caution information: “a) large difference from assumption”, “b) unexpected phenomenon” and “c) difficult to predict”. It is broadly classified. “A) The difference from the assumption is large” is a case where actual data is different from the data normally assumed when the simulation model is constructed. For example, there are a failure rate and a parts transport method. “B) Unexpected phenomenon” refers to a case where a phenomenon that was not expected at the time of simulation model construction actually occurs, such as an in-process / stagnation in an unexpected location or an equipment layout. “C) Difficult to predict” is information in which accurate information is difficult to obtain until production begins, and includes, for example, component placement and yield.

  In addition to the above classification, the notice information includes the three types of importance shown in FIG. 6, and it is possible to narrow down the importance and to determine the importance of the notice when searching.

  FIG. 6 is an explanatory diagram showing an example of precaution information related to the importance handled by the precaution extraction means constituting the production simulation management apparatus shown in FIG.

  Here, as indicated by reference numerals 61 to 63, this importance is treated as “A: sure confirmation”, “B: caution”, and “C: reference”. The above-mentioned caution information and importance are classified by human judgment and registered in the comparison content storage means 6.

  Further, when searching for a simulation model, the note extraction unit 8 extracts items and passes information to the search result display unit 11.

  In this way, by specifying the importance level when displaying the cautions, it is possible to narrow down the amount of information to be displayed so that important information is not overlooked.

  The comparison content storage means 6 stores the comparison content between the simulation result and the actual data. Here, the compared value is worse than the preset value or the overall average value including other simulations. If this is the case, attention information is necessary, so that the caution information with the classification “a) large difference from the assumption” and the importance “C: Reference” is automatically registered in the comparison content storage means 6.

  By viewing the precautions information, not only the problems of the past simulation but also the problems of the actual production system can be grasped, and it is possible to examine the correspondence to the similar problems in advance. This is a proposal for creating a more accurate simulation model and a realistic and effective production system.

  The related model extracting means 9 extracts a simulation model (hereinafter also simply referred to as “related model”) related to the searched simulation model. There are three types of simulation models to be extracted: “before change”, “after change”, and “reference”. “Before change” is the simulation model to be changed, and “after change” was created as a result of the change. It is a simulation model, and “Reference” is the simulation model of the other party when some of the components of the simulation model are used in other simulation models. For “Reference”, “Reference destination” and “Reference source” There are two types. Information for extracting the related model is stored in the simulation history storage unit 4.

  The simulation model selection means 10 is a means for selecting the one that is judged to be most suitable for the input search condition when there are a plurality of simulation models as search results. Here, a method of automatically searching a simulation model closest to the specified content from the stored simulation models (hereinafter also simply referred to as “simulation model automatic search method”) will be described with reference to the flowchart of FIG.

  FIG. 7 is a flowchart showing an example of a simulation model automatic search method implemented by using a simulation model selection unit constituting the production simulation management apparatus of the present invention.

  First, in step S51, a simulation model having the same process is extracted. The process here is the same as the process in the simulation model selection item of FIG.

  Next, in step S52, a model score is calculated based on the model selection criterion. This is to compare a plurality of simulation models in the simulation model storage means 2 with numerical values called model scores in order to select a simulation model to be searched. It is a step.

  Table 1 shows a model selection criterion table for calculating the model score. This model selection standard table is composed of item-specific scores, evaluation items, evaluation scales (calculation formulas), and allocation rates. The calculation results of evaluation scales for each evaluation item are normalized so as to have a value of 0-100. Yes. Then, a value obtained by multiplying the calculation result of the evaluation scale by the distribution rate is used as the value of the item-specific score.

  Referring to Table 1, specific examples are further described. As item-specific scores, “product type score”, “model score”, “equipment score”, “simulation accuracy score”, “unit score”, and “date score” are given. There is. Further, regarding the “product score”, the “evaluation item” is “product”, the “evaluation scale (calculation formula)” is “similarity”, and the “distribution rate” is “50%”. Regarding “model score”, “evaluation item” is “model”, “evaluation scale (calculation formula)” is “similarity”, and “allocation ratio” is “20%”. Further, regarding the “facility score”, the “evaluation item” is “utilization facility”, the “evaluation scale (calculation formula)” is “similarity”, and the allocation rate is “10%”. Further, regarding the “simulation accuracy score”, the “evaluation item” is “simulation accuracy”, the “evaluation scale (calculation formula)” is “absolute value (simulation LT−actual LT) ÷ actual LT × 100”, “ The “allocation rate” is “10%”. In addition, regarding “unit score”, “evaluation item” is “production unit”, “evaluation scale (calculation formula)” is “absolute value (simulation unit−actual unit) ÷ actual unit × 100”, and “allocation” "Rate" is "5%". In addition, regarding “date score”, “evaluation item” is “date”, and “evaluation scale (calculation formula)” is “(simulation model date−oldest date) ÷ (newest date−oldest date) × 100 ”and the“ distribution rate ”is“ 5% ”.

  Here, the similarity of the product score (Table 2), the similarity of the model score (Table 3), and the similarity of the equipment score (Table 4) are defined in advance as the similarity between registered data. It is what.

  As shown in Tables 2 to 4, for example, for the similarity of the product score, the similarity between the mobile phone and the portable information terminal is set to 70, and the similarity between the mobile phone and the printer is set to 20. . As for the similarity of the model score, the similarity between the model A (large) and the model B (large) is 85, and the similarity between the model A (large) and the model C (small) is 40. It is said. Furthermore, regarding the similarity of the equipment score, the similarity between the belt conveyor and the roller conveyor is set to 85, and the similarity between the belt conveyor and the automatic guided vehicle is set to 0.

  The simulation accuracy score is used to check the accuracy of the lead time (LT), and the difference (absolute value) between the LT of the simulation result and the actual LT is divided by the actual LT and multiplied by 100 (| simulation) LT−actual LT | ÷ actual LT × 100).

  The unit score indicates the accuracy of the number of units produced, and the difference (absolute value) between the number of simulations and the number of units produced is divided by the number of units produced and multiplied by 100. | ÷ Actual number of vehicles × 100).

  The date score is for the simulation model creation date and gives a higher score as the latest version is reached. In the simulation model corresponding to the search, the newest date is 100, the oldest date is 0, and linear interpolation is used. The simulation model creation date score is calculated (simulation model date−oldest date) ÷ (newest date−oldest date) × 100).

  Further, a model score is obtained by adding all the values of the item-specific scores (see Equation 1).

Model score = Product score + Model score + Equipment score + Accuracy score + Unit score
+ Date score (Formula 1)

  It should be noted that by adjusting the distribution rate of the score for each item, it is possible to adjust which item is emphasized and the simulation model is selected.

  Next, in step S53, a simulation model having a high model score is extracted, and simulation model selection is completed. Here, a plurality of different simulation models may be selected for each process, or one simulation model may be selected by comparing values obtained by summing model scores for each process.

  Further, the search result display means 11 shown in FIG. 1 is a means for displaying the search results, and displays as shown in FIG. FIG. 8 is an explanatory diagram showing an example of a display screen of search result display means constituting the production simulation management apparatus shown in FIG.

  Even if a plurality of simulation models are searched, the search result display means 11 displays the inspection results one by one. As a condition for determining the display order, the inspection results may be rearranged in descending order of the model score, or the inspection results may be rearranged in order of date.

  More specifically, in the inspection result display means 11, in addition to the model ID and model score of the corresponding simulation model (see the area 81), information representing the characteristics (simulation model 82), simulation results 83, and actual production system contents The actual line data 84 indicating the actual line result 85, the actual line result 85 corresponding to the simulation result item, the caution item 86, the comparison result 87, and the related model 88 are displayed.

  According to the production simulation management apparatus of this embodiment, by displaying the accuracy and accompanying information of the simulation model in this way, it is possible to understand the contents and accuracy of the simulation and how it is used. You can select the method and change method necessary for creating the simulation model.

  The registration unit 15 registers data in each storage unit included in the simulation asset storage unit 1.

  Next, according to the flowchart shown in FIG. 9, an example of a simulation creation method using the production simulation management apparatus of this embodiment will be described.

  FIG. 9 is a flowchart showing an example of a simulation creation method using the production simulation management apparatus shown in FIG.

  First, the target product type, production quantity, process range, and production method are clarified, and using this as a search condition, a past simulation model is searched to determine a simulation target (step S61). In this step, the inspection means 7 of the production simulation management apparatus is used, but the search based on the classification explained with reference to FIG. 3 or the keyword explained with reference to FIG. 4 is performed.

  Next, a suitable simulation model is selected from the retrieved past simulation models (step S62). This step is performed by the simulation model selection means 10 according to the simulation model automatic search method described with reference to FIG. 7, and it is determined that the one with the higher model score is the closest to the searched content. The stored information corresponding to the searched simulation model is displayed in the search result display unit 11 together with the information related to the notes extracted using the note extraction unit 8 and the information related to the related model extracted using the related model extraction unit 9. Displayed as a simulation search result.

  In addition, when selecting a simulation model, if many similar simulation models are registered in the simulation model storage unit 2, the target simulation can be performed with a small change, but if there are few similar simulation models, It is important to select a simulation model that requires less modification work. The importance of search varies depending on what simulation model is stored. An example of selecting a simulation model using the simulation search result display screen displayed on the inspection result display means 11 will be described below.

  First, it is determined whether or not the simulation model is the same simulation model as that of the target by comparing the simulation model information with the simulation model extraction means 10. For example, if the factory, process, and type are the same, the simulation model can often be used as it is without being changed. However, if the factory is different even if the process and the product are the same, the production method is often different, and therefore, the simulation model is easily changed. In addition, the newer the creation date of the simulation model and actual data, the higher the utility value of the simulation model is, and when the simulation model of the search result is old, by using the history after change displayed on the same screen, the same You can search the latest version of the simulation model.

  In addition, the accuracy of the simulation can be confirmed by looking at the comparison result, but if the accuracy is good, it indicates that the utility value of this simulation model is high. If the accuracy is poor, it is necessary to investigate the cause, but in general, it is determined whether the simulation model itself is bad or whether an actual line has changed. If there is a change in the actual line, the utility value of the simulation model is not low, so the countermeasure corresponding to the actual line change is confirmed in the history after change displayed in the related model. If the countermeasure is described, the simulation model after the change is searched and a more suitable simulation model is used. If there is no countermeasure in the history after change and it is determined that the simulation model is suitable for reuse, the contents of the precautions are confirmed, and the process proceeds to the next step S63.

  In addition, when the number of processes searched is small, it is possible to search for the production method when the product type or model is different by searching the reference destination or reference source of the related model. Connected.

  Next, the program and data corresponding to the selected simulation model are output from the simulation model asset storage unit 1 by the model creation data providing unit 12 (step S63).

  From the examination of the experimental method using the simulation in the subsequent step S64 to the comparison and verification of the simulation result in step S68 and the actual process performance data, it is not a step of the invention itself but a step for explaining an example of use of the invention. It includes the contents to be implemented by the members who manage and implement, and those involved in the production system to be simulated.

  In step S64, an experimental method using simulation is examined. Further, in step S65, the detailed specification of the simulation model to be constructed is determined according to the examination result, and the simulation is changed based on the determined detailed use. To do. In step S65, the precautions displayed in the simulation search result and the contents of the comparison result are utilized to create a more accurate simulation model.

  Next, in step S66, data for simulation is prepared. Here, too, past simulation data can be used while referring to the precautions and comparison results displayed in the simulation search result. The simulation is now possible.

  Next, in step S67, a simulation experiment is performed using the model creation means 13 and the simulation execution means 14, and a normal production simulation such as prior verification of the production system and improvement suggestions is performed.

  After that, in order to check the simulation accuracy and to create data for reusing the simulation, we collect actual line (actual process) results data and compare the simulation results and actual line results data (steps) In step S68, the registration unit 15 registers data in the simulation asset storage unit 1 (step S69), and the simulation is completed.

  As described above, according to the present embodiment, according to the present invention, when searching for a target simulation model from a plurality of stored simulation models, even if the number and types of stored simulations are large. In addition to being able to search easily, it is possible to display notes on the searched simulation model, comparison results with the actual production system, and other simulation models that contain the same components. The simulation management device that can be obtained. As a result, by providing this simulation management apparatus, it is possible to shorten the simulation model creation period and improve the accuracy of the simulation model.

  In the present embodiment, the search means 7, the note extraction means 8, the related model extraction means 9, the simulation model selection means 10, the model creation data provision means 12, the model creation means 13, the simulation execution means 14, and the registration means 15 is realized by, for example, a CPU (central processing unit) of a computer, and the search result display means 11 is realized by a display device of a computer, etc., and constitutes a simulation asset storage means 1. The simulation model storage unit 2, the simulation content storage unit 3, the simulation history storage unit 4, the performance data storage unit 5, the comparison content storage unit 6, and the search list storage unit 30 are realized by a computer-readable recording medium. is there. Specific examples of this recording medium include semiconductor memory elements such as a mask ROM (Read Only Memory) and a flash ROM, a hard disk, a flexible disk, an MO (Magneto-Optic) disk, a CD (Compact Disc) -ROM, and a DVD (Digital Versatile Disk). ) -ROM, magneto-optical disk, IC (Integrated Circuit) card, magnetic tape, and the like, and other recording media may be used as long as information can be stored. Further, the information itself may be transmitted by communication and recorded on a recording medium.

  The simulation management apparatus according to the present invention includes a case where there are a large number and types of stored simulations, confirmation of the notes of the searched simulation model and comparison results with an actual production system, It can be used for use when it is necessary to check the simulation model.

It is a schematic block diagram which shows one Embodiment of the production simulation management apparatus of this invention. It is explanatory drawing which shows an example of the information which the some storage means contained in the simulation asset storage means which comprises the production simulation management apparatus shown in FIG. 1 has. It is explanatory drawing which shows an example of the search screen displayed when searching by the search means which comprises the production simulation management apparatus shown in FIG. It is explanatory drawing which shows an example of the keyword input when searching by the search means which comprises the production simulation management apparatus shown in FIG. It is explanatory drawing which shows an example of the notice information regarding the classification which the notice extraction means which comprises the production simulation management apparatus shown in FIG. 1 handles. It is explanatory drawing which shows an example of the caution information regarding the importance handled by the caution extraction means which comprises the production simulation management apparatus shown in FIG. It is a flowchart which shows an example of the simulation model automatic search method implemented using the simulation model selection means which comprises the production simulation management apparatus of this invention. It is explanatory drawing which shows an example of the display screen of the search result display means which comprises the production simulation management apparatus shown in FIG. It is a flowchart which shows an example of the simulation preparation method using the production simulation management apparatus shown in FIG. It is a flowchart which shows an example of the conventional production simulation.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Simulation asset storage means 2 Simulation model storage means 3 Simulation content storage means 4 Simulation history storage means 5 Performance data storage means 6 Comparison content storage means 7 Search means 8 Notes extraction means 9 Related model extraction means 10 Simulation model selection means 11 Search Result display means 12 Model creation data providing means 13 Model creation means 14 Simulation execution means 15 Registration means 16 Recorded contents of simulation model storage means 17 Recorded contents of simulation content storage means 18 Recorded contents of simulation history storage means 19 Actual data storage means Recorded contents of 20 Recorded contents of comparison contents storage means 21 Items of result contents 30 Search list storage means 40 Input items for simulation model search

Claims (3)

  Simulation model storage means for storing simulation models, simulation content storage means for storing data used in simulation and simulation results, simulation history storage means for storing simulation model history, and actual production system results data Simulation asset storage means including performance data storage means to be stored; comparison content storage means for storing comparison contents between simulation results and performance data; search means for searching a simulation model according to specified conditions; and designation Simulation model selection means for automatically selecting the simulation model closest to the recorded content, the simulation model storage means, simulation content storage means, simulation history storage means , Production simulation management device, characterized in that and a retrieval result displaying means for displaying the information stored and saved in the actual data storage means and the comparison contents storing means to select the prescribed information.   Compared with the simulation model selected by the simulation model selection means and the actual production system that is the target of the simulation model, the content has a large difference and is difficult to predict at the simulation model creation stage. 2. The production simulation management apparatus according to claim 1, further comprising a notice extraction means for extracting the contents designated in advance as the notice from the contents of the comparison content storage means.   The apparatus further comprises related model extraction means for extracting a simulation model related to the simulation model searched by the search means, and the simulation model to be extracted is a simulation model before change, a simulation model after update, and a reference simulation model. The production simulation management apparatus according to claim 1, comprising:

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