KR20090123050A - Method for consulting of manufacturing execution system based simulation and apparatus thereof - Google Patents

Abstract

PURPOSE: A simulation base production execution system setting method and an apparatus thereof for securing the flexibility of the material flow and an apparatus thereof are provided to reduce unnecessary material consumption by performing prior test of the basic information within a factory model. CONSTITUTION: A construction device receives system information and requirements(S600). A virtual plant model is set up while designing a structure of a simulation based execution system by using the received information. If the virtual factory model and an implementation system of a simulation are implemented, the implementation system integrates simulation based execution system(S604). The simulation based execution system is tested whether the system is normally operated(S606).

Description

Method for consulting of manufacturing execution system based simulation and apparatus

  The present invention relates to a method and apparatus for constructing a simulation-based production execution system, and more particularly, to a virtual factory model while designing a simulation-based execution system structure using requirements information and enterprise-based system information input by a user. The present invention relates to a method and apparatus for constructing a simulation based production execution system for constructing and simulating by applying the virtual factory model to the constructed simulation based execution system structure.

A production plan oversees a series of information flows from the purchase of a material to the delivery of a product. An action plan is a plan for operating a manufacturing line within a set period of time in a production plan.

Production planning systems that support or automate the production of production plans in factories, etc. have been made in the past, and many products have already been commercialized at home and abroad, and many manufacturers have developed and used their own systems.

Many of these conventional production planning systems generate models by simplifying the constraints in the production process, such as assuming infinite capacity, and apply a mathematical optimization method such as linear programming to a simplified solution. We are adopting the way to obtain.

Therefore, the existing method cannot avoid the difference between the production plan and the execution plan, and in particular, establish a plan for the distribution of workers / logistics input method in the manufacturing line (direct worker, logistics worker, etc.) / material input quantity in the manufacturing line, etc. Impossible to do so, wasted a lot of money and time.

In addition, new manufacturing process technologies are developed in order to enhance product competitiveness, and since these latest manufacturing processes are immediately applied to actual product production, it is rare for the manufacturing process to be stably operated at the manufacturing site, thus producing high technology parts. In planning, there were inconveniences of always considering the factors of variation in manufacturing, such as failure of manufacturing machinery or poor quality of products.

Therefore, it is required to secure the flexibility of the production line to adapt to changes, and in the process, securing and verifying a fast execution strategy including the acquisition of manufacturing master data to assist the execution is a key requirement.

In addition, most companies have recently introduced enterprise resource planning (ERP) and supply chain management (SCM) systems to realize / concrete corporate information.The consistency of information through integration and pre-validation of all processes within the company's activities. Increasing compliance and compliance is important as a company-wide requirement.

Therefore, the present invention has been made to solve the above problems, the object of the present invention is to perform the pre-test / verification process of the basic information in the factory model to reduce unnecessary material requirements within the schedule, to ensure the flexibility of the logistics flow The present invention provides a method and apparatus for constructing a simulation-based production execution system that can reduce direct / indirect costs of manufacturing cost.

Another object of the present invention is to provide a method and apparatus for constructing a simulation-based production execution system that virtually constructs a factory model capable of interworking factory model information and corporate information based on an understanding of a company's base system itself and a company strategy. .

It is still another object of the present invention to construct a factory model and model execution environment according to the situation of an individual company according to a systematic and specific modeling framework, and a method and apparatus for constructing a simulation-based production execution system that can satisfy the requirements of an enterprise. To provide.

Another object of the present invention is a simulation-based production execution system that can plan a factory model that can perform the optimal work, such as the basic equipment improvement problem, bottleneck process improvement, worker assignment interval change through the simulation of the virtual factory model To provide a construction method and apparatus therefor.

It is another object of the present invention to simulate a virtual plant model to minimize equipment investment costs, improve line balancing and productivity, reduce manufacturing lead times, maximize space utilization, minimize logistics costs, and provide operator convenience and reliability. To provide a production execution system construction method and apparatus therefor.

It is still another object of the present invention to provide a method and apparatus for constructing a simulation-based production execution system that can easily understand a complex situation in a factory through 3D and can predict a problem that can occur and suggest a solution.

It is still another object of the present invention to provide a method and apparatus for constructing a simulation based production execution system that can provide insight and control points for the entire process through various what-if analysis.

It is still another object of the present invention to provide a method and apparatus for constructing a simulation-based production execution system that can verify the improvement of production lines or changes in corporate strategy, and derive operational information such as outputting master data for plant operation. It is.

According to an aspect of the present invention to achieve the above objects, (a) if the requirements information and enterprise period system information is input, designing a simulation-based execution system structure and at the same time to build a virtual factory model, (b) A simulation based production execution system building method is provided, comprising the step of applying the virtual factory model to the constructed simulation based execution system structure.

The requirements include at least one of environment, goals, and project scope.

The designing of the simulation-based execution system structure in the step (a) may include receiving system structure design basic information including at least one of component information of the system, user scenario information, and interworking scenario information. Designing a system structure for the component information based on the information, establishing an interworking relationship between components in the designed system structure and an interworking relationship with an enterprise-based system using the interworking scenario, and the designed system structure Implementing the code such that the set interlocking relationship is performed; and testing whether the designed system structure is normally operable by compiling the implemented code.

The user scenario includes at least one of a related component having a dependent relationship to interwork with each other, a component included in structure concepts above and below, and an interface for exchanging data and control information with the related component.

The linkage scenario includes a linkage relationship between components and a linkage relationship with an enterprise backbone system.

In the step (a) of building a virtual factory model, when PPRS information is input by a user, structuring a product-specific process, and matching the structured product-specific process with a layout of a factory to generate a factory process model In the step, designing what-if scenarios with different values of specific variables in the generated factory process model; If a simulation command is input, simulating the factory process model and outputting result information of the current factory model; Performing a simulation to which the what-if scenario is applied to a factory process model and comparing the result information of the current factory model, and determining a virtual factory model corresponding to the requirement by comparing the result information.

When the PPRS information is input by the user, structuring a product-specific process includes receiving PPRS information including a product, a process, a resource, and a schedule, and structuring a product-specific processor in the PPRS information using an IDEFO. Steps.

Generating a factory process model by matching the structured product-specific process with the layout of a factory comprises: displaying the structured product-specific process centered on a routing path indicated in the factory layout and resources and schedules in the layout-based process. This displayed table includes the step of creating a factory process model added.

When the simulation command is input, the step of simulating the factory process model and outputting the result information of the current factory model, when the simulation command is input, by mapping PPRS, input variables, process data to the factory process model virtual factory Simulating with a model, calculating a work throughput by applying kinematics of a facility and an operator to the simulation virtual factory model, and analyzing the calculated work throughput and outputting result information of a current factory model. .

The step (b) includes the step of integrating the constructed simulation based execution system structure and the virtual factory model to build a simulation based execution system, and testing whether the constructed simulation based execution system operates normally.

According to another aspect of the present invention, in the apparatus for building a simulation-based execution system, a requirements and enterprise period system information collection module for collecting requirements and enterprise period system information, component information of the execution system from the user, user scenario A system structure design module configured to designate a system structure by receiving at least one of information and interworking scenario information, and set an interworking relationship such that the designed system structure is interlocked according to the interlocking scenario information; Factory model building module for building a virtual factory model by using the information collected through the user and PPRS information input by the user, apply the virtual factory model built in the factory model building module to the system built in the system structure design module To perform the test The simulation-based manufacturing execution system implementation apparatus which is characterized in that it comprises an integrated testing module is provided.

The system structure design module includes a basic information collecting unit for receiving system design basic information including at least one of component information, user scenario information, and interlocking scenario information of the execution system, and user scenario information collected by the basic information collecting unit. A system structure design unit for designing a system structure for the component information based on the interworking relationship between the components of the system structure designed by the system structure design unit using an interworking scenario collected by the basic information collecting unit, and a corporate period system An interworking relationship setting unit for setting an interworking relationship with the coding unit, a coding unit for implementing a code so that the interworking relationship set in the system structure designed by the system structure design unit and the interworking relationship setting unit can be performed in the system as designed, and implemented in the coding unit Compiled code A feature that is designed to perform as part of the test involves judgment.

The factory model building module includes a condition setting unit for receiving and storing requirements, process data, and PPRS information, and a process structuring unit for structuring a process for each product using requirements, process data, and PPRS information inputted through the condition setting unit. A process modeling unit generating a factory process model by matching the process for each product generated by the process structuring unit with a layout drawing of the factory, and what- different values of specific variables with respect to the factory process model generated by the process modeling unit; If a what-if scenario design unit for designing a scenario and a simulation command are input, the factory process model generated by the processor modeling unit is simulated to output the result information of the current factory model, and the what-if scenario design unit to the factory process model. By applying a scenario designed by Simulation unit for simulation, comparison result information about the result information and what-it scenario current plant model output by the simulation unit comprises a result will be analyzed to output.

The simulation unit simulates a virtual factory model by mapping PPRS, input variables, and process data to the factory process model, and calculates throughput by applying facility and worker kinematics to the simulated virtual factory model.

Accordingly, the present invention performs a pre-test / verification process of the basic information in the factory model to reduce unnecessary material requirements within the schedule, and secure the flexibility of the logistics flow simulation-based production execution system that can reduce the direct / indirect costs of manufacturing costs It is possible to provide a construction method and an apparatus thereof.

In addition, according to the systematic and specific modeling framework, the factory model and model execution environment are built according to the individual company's situation, thus providing a method and apparatus for constructing a simulation-based production execution system that can satisfy the company's requirements. .

In addition, a method and apparatus for constructing a simulation-based production execution system for planning a factory model that can perform optimal tasks such as basic facility improvement problem, bottleneck process improvement, and worker assignment interval change through simulation of a virtual factory model Can be provided.

In addition, how to build a simulation-based production execution system that can help you minimize equipment investment costs, improve line balancing and productivity, reduce manufacturing lead times, maximize space utilization, minimize logistics costs, and ease operator convenience and reliability through simulation of virtual plant models And the apparatus.

In addition, it is possible to provide a method and apparatus for constructing a simulation-based production execution system that can easily understand the complex situation in the factory through the 3D, and can predict the possible problems and suggest solutions.

In addition, it is possible to provide a method and apparatus for constructing a simulation-based production execution system that can derive operational information such as verifying improvement of a production line or changes in corporate strategy and outputting master data for plant operation.

In addition, it is possible to provide a method and apparatus for constructing a simulation-based production execution system that can reduce costs by verifying the feasibility of the production plan results within a certain period using the schedule data / demand plan data of the enterprise production department as input data. have.

Details of the above-described objects and technical configurations of the present invention and the effects thereof according to the present invention will be more clearly understood by the following detailed description based on the accompanying drawings.

1 is a block diagram schematically showing the configuration of a simulation-based production execution system construction apparatus in consideration of the integrated environment according to the present invention, Figure 2 is a block diagram showing in detail the requirements and enterprise period system information collection module shown in FIG. .

Referring to FIG. 1, the simulation-based production execution system building apparatus 100 considering the integrated environment includes a requirements and enterprise period system information collection module 110, a system structure design module 130, a factory model building module 150, An integrated test module 170 is included.

The requirements and the corporate period system information collection module 110 receives and stores the requirements including the environment and the target, the project scope, and the like, and corporate period system information such as ERP. Here, the requirements include information such as environment and targets, project scope, etc., the environment refers to everything related to the surroundings, including the object to be built, and the definition criteria of the related elements is based on the simulation result in the construction of the factory model. There is an inherent possibility of impact.

Clients can influence the future schedule of a plant or company, such as when to request factory analysis, new plant construction, product design / process design changes, changes in product demand in the market, replacement / change of multiple facilities, changes in regulations and organization, etc. Because they want to know the impact on the factors that exist, the factory model must be able to flexibly accommodate the various requirements of these clients.

The company term system information refers to the ERP of the company.

The requirement and enterprise period system information collection module 110 includes an enterprise period system information analyzer 112 and a requirement collector 114.

The corporate period system information analysis unit 112 collects and analyzes material management, production planning, management accounting, factory management, human resource management information, and the like.

The material management information includes available resources, inventory amount, inventory evaluation information, material requirement planning information, purchasing plan information, and the like.

The production plan information includes Manufacturing-BOM, process capacity, product target production volume, MPS information (base production plan, Master Production Scheule), MRP information (material requirement planning), quarter production cost, manufacturing time, etc. do.

The management accounting information includes activity-based cost (ABC) information, which is cost information calculated based on all actions put into the production of a product, and a profitability standard indicator indicating correlations between product output, market conditions, and resource input.

The factory management information includes a facility diagram showing the location of facilities based on the layout of the factory, basic information, facility maintenance date, and the like. Here, the basic information management is the equipment spec. Material warehouse spec. Worker spec. Resource information for the production of lamps is managed.

The manpower management information refers to management information for the workers who are put into factory operations and production activities.

The requirement collection unit 114 collects long-term planning information, short-term planning information, factory operation plan verification information, factory management core information, product / resource model information, manufacturing execution master data, and the like.

The long-term plan information includes a plant operation strategy, a long-term resource input plan, a long-term process improvement plan, a long-term product forecast demand, a long-term ROI, a long-term manpower input plan, and the like.

The short-term planning information includes a schedule within a standard date, a resource input plan, a short term process improvement plan, a production plan, a short term manpower input plan, and a short term ROI.

The factory operation plan verification information includes process improvement power evaluation, optimal process improvement plan, semi-finished product / part routing path, ROI information, and the like.

The plant management key information includes M-BOM, process process, resource input (/ unit), plant layout, facility C / T, etc. based on quarterly plant improvement plans.

The product / resource model information includes product information, equipment information, facility information, and the like. The manufacturing execution master data includes resource input cycle, material loading information, optimal production schedule, manpower input plan, transporter operation information, and the like.

The system structure design module 130 designates a system structure by receiving execution system component information, user scenario information, and interlocking scenario information from a user, and establishes an interlocking relationship such that the designed system structure is interlocked according to the interlocking scenario information. It plays a role of setting.

 For a detailed description of the system structure design module 130 that performs the above role, refer to FIG. 3.

The factory model building module 150 serves to build a virtual factory model by using the information collected through the requirement and the enterprise period system information collection module 110 and PPRS information input by the user.

That is, the factory model building module 150 defines a product, process, resource, and schedule (PPRS) using requirements and process data, and structures a product-specific process using the defined PPRS. Then, the factory model building module 150 generates a factory process model by matching the structured product-specific process with a layout diagram of a factory, and what-if having changed a value of a specific variable for the generated factory process model. Design the scenario.

The factory model building module 150 then simulates the generated factory process model and outputs the result information of the current factory model, and applies the simulated what-if scenario to the factory process model.

Detailed description of the factory model building module 150 that performs the above role will be described with reference to FIG. 3.

The integrated test module 170 performs a test by applying the virtual factory model built in the factory model building module 150 to the system built in the system structure design module 130.

That is, the integrated test module 170 constructs a simulation based execution system by integrating the constructed simulation based execution system structure and the virtual factory model, and performs a test to test whether the constructed simulation based execution system operates normally. do.

FIG. 3 is a detailed block diagram illustrating the system structure design module illustrated in FIG. 1.

Referring to FIG. 3, the system structure design module 130 includes a basic information collecting unit 132, a system structure designing unit 134, an interworking relationship setting unit 136, a coding unit 138, and a testing unit 140. do.

The basic information collecting unit 132 receives system design basic information including component information of the execution system, user scenario information, interlocking scenario information, and the like from a user.

The user scenario includes at least one of a related component having a dependent relationship to interwork with each other, a component included in structure concepts above and below, and an interface for exchanging data and control information with the related component.

The linkage scenario includes a linkage relationship between components and a linkage relationship with an enterprise backbone system.

The system structure design unit 134 designs the system structure based on the user scenario based on the component information collected by the basic information collection unit 132.

 The interworking relationship setting unit 136 sets the interworking relationship between the system components and the enterprise-based system according to the interworking scenario of the system structure designed by the system structure designing unit 134.

The coding unit 138 implements code so that the interworking relationship with the designed system structure can be performed in the system as designed.

The test unit 140 compiles the code implemented in the coding unit 138 to determine whether the function is performed as designed, and if there is a defect, finds the cause of the defect.

FIG. 4 is a detailed block diagram illustrating the configuration of the factory model building module shown in FIG. 1, FIG. 5 is a detailed view of the process structuring unit illustrated in FIG. 4, and FIG. 6 is a detailed view of the process modeling unit illustrated in FIG. 4. .

Referring to FIG. 4, the factory model building module 150 includes a condition setting unit 152, a process structuring unit 154, a process modeling unit 156, a what-if scenario design unit 158, a simulation unit 160, And a result analyzer 162.

The condition setting unit 152 serves to receive and store requirements and process data. The requirements include information such as environment and targets, project scope, and the like. The process data includes process characteristics and equipment data collection, material / subsidiary materials / product data collection, order / supply policy, and worker operation rules. do.

That is, the condition setting unit 152 collects mechanical information (eg, operating time, list of components, operating time, etc.) of the facilities in the factory, and occurs when several facilities are configured and operated in combination. To collect the characteristics of the process itself. The process characteristics include the form of the process flow in consideration of the entrance and exit of the factory building, the production method (cell production, job shop production, flow production, etc.).

The process structuring unit 154 defines a PPRS using requirements and process data input through the condition setting unit 152 and structures a product-specific process using the defined PPRS.

That is, the process structuring unit 154 inputs PPRS information including resources, schedules, target outputs, etc., such as products to be produced in a real factory, processes for producing each product, equipment and materials for producing each product, and the like. If so, the product-specific process is structured using the PPRS. The PPRS is the basis for product design, product analysis, product process planning, operation research, time study, facility layout planning, worker process improvement, production operation method design and verification, factory and line simulation, and production management.

The process structuring unit 154 analyzes a process for each product using the PPRS by function / activity-oriented ICOM (Input, Control, Output, Mechanism), and uses the analysis result to structure the process. do. In the ICOM, the input / output corresponds to a product that is put into and taken out of the process, and the control includes a processing rule of processing time (product loading time, processing time, product unloading time, etc.), and the mechanism is the facility in charge of the process. Or worker.

The process structurer 154 performing the above role will be described in more detail with reference to FIG. 5.

The process structuring unit 154 is a product Engineering Bill Of Material (E-BOM) analysis means 154a, product M-BOM (Manufacturing Bill Of Material) analysis means 154b, process facility analysis means 154c, process characteristics Analysis means 154d, process ICOM design means 154e.

The product E-BOM analysis means 154a analyzes the parts of the product in a hierarchical structure. For example, if the product is a chair, the product is analyzed in a hierarchical structure with chair-backrest, cushion, leg-backrest leg, 1 cushion, 1 cushion rest, 4 chair legs ... etc.

The product M-BOM analysis means 154b serves to structure the production process sequence for making the product. For example, if the product is a chair, wood cutting-> backing of the design drawing, cushioning, processing according to the design of the chair leg-> assembling the wooden parts of the chair (bonds, nails and bolts)-> cushioning-> cushion mounting, etc. BOM is structured and structured production process by analyzing what equipment (saw, sandpaper, hammer, worker, etc.) is needed for each part.

The process facility analysis means 154c analyzes which facilities are mapped to each production process structured in the product M-BOM analysis means 154b, and the process characteristic analysis means 154d performs a process for each part. Analyze the characteristics (work characteristics, work hours / part characteristics, etc.).

The process ICOM design means 154e maps the equipment and process characteristics analyzed by the process equipment and process characteristic analysis means 154c and 154d with respect to the production process analyzed by the product M-BOM analysis means 154b. Structure the function / activity-oriented ICOM (Input, Control, Output, Mechanism).

That is, the process ICOM design means 154e is a component input (I, input)-> Process-> processed component output (O, for the production process analyzed by the product M-BOM analysis means 154b output),) process equipment (M, mechanism), process characteristics (C, control).

Referring back to FIG. 4, the process modeling unit 156 generates a factory process model by matching a product-specific process generated by the process structuring unit 154 with a layout diagram of a factory.

That is, the process modeling unit 156 generates a layout based process by displaying a process for each product based on a routing path displayed on the layout of the factory. Then, the process modeling unit generates a factory process model to which a table displaying information such as resources and schedules is added to the generated layout-based process.

Therefore, the factory process model generated by the process modeling unit 156 may include information such as a list of materials required for processing of individual facilities / workers, quantity of material input when assembling a unit of product, work rules, and operation type. .

The process modeling unit 156 serving as described above will be described in more detail with reference to FIG. 5.

The process modeling unit 156 includes a factory layout analysis unit 156a and a process structure map mapping unit 156b.

The factory layout analysis means 156a analyzes a factory drawing in which the entrance door, facility location, material storage location, equipment storage room and the like of the modeling factory are recorded.

The process schematic mapping means 156b maps the process ICOM schematic created by the process structuring module 154 to the factory layout diagram. ICOM for each facility can be grasped by mapping by the process structure map mapping means 156b.

The layout-based process generated by the process modeling unit 156 is linked to the corresponding area displayed in the layout diagram of each process performed in the factory and is output in a table form in the order thereof.

The what-if scenario design unit 158 designs a what-if scenario by varying a factory-related variable with respect to a factory process model generated by the process modeling unit 156. Here, variables related to the factory include routing between process processes, layout of the factory, process / equipment / worker assignment, process operation plan, and the like.

The what-if scenario utilizes analytical techniques such as ARC, flow based process analysis, activity based process analysis, and wait rule based process analysis.

In the case of ARC analysis, it is used for qualitative flow measurement. It draws out the related chart and draws out and arranges the correlation of each action. The relationship between the process modules lays out the layout and provides a basis for incorporation into the process operation plan.

When the simulation command is input, the simulation unit 160 simulates the factory process model generated by the processor modeling unit 156 and outputs the result information.

In other words, when a simulation command is input, the simulation unit 160 maps PPRS, input variables, and process data to the factory process model to simulate the virtual factory model. Then, the simulation unit 160 calculates a throughput by applying facility and worker kinematics to the simulated virtual factory model, and analyzes the calculated throughput to output the result information of the current factory model.

Then, the simulation unit 160 simulates by applying the value of the what-if scenario designed by the what-if scenario design unit 158 to the factory process model, and compares the simulated result with the result information of the current factory model. Compare and print.

In more detail, the simulation unit 160 performs a task of conceptual / physical modeling, establishment of a facility and a kinematics for a factory process model generated by the processor modeling unit 156.

The conceptual / physical modeling refers to generating a virtual factory model using a PPRS structure, input variables, process related data, and the like.

The kinematics setting work of the facility and the worker is a modeling operation including the physical behavior of the facilities in the actual plant, the physical behavior of the worker and the like using the plant equipment layout and process flow in the generated virtual factory model Say

The work throughput is calculated by the kinematics setting work of the facility and the worker.

The result analyzing unit 162 selects an optimal factory model by analyzing and evaluating quantitative results of the process with respect to the simulation of the factory model and what-it scenario executed through the simulation unit 160.

The result analysis unit 162 refines information such as a worker's allocation distribution related to the process and examines outputs of each process of the products. Further, in addition to the information quantitatively generated by the result analyzer 162, further analysis of factors such as a stoppage of the process line and safety inventory is performed.

In addition, the result analysis unit 162 may perform optimization work through iterative simulation with reference to simulation result values, such as basic equipment improvement problem, bottleneck process improvement, and worker assignment interval change.

As mentioned above, the factory model building module needs preliminary work such as manufacturing process systemization and manufacturing line optimization design before factory modeling, and it is necessary to consider material order cost and production fixed cost (equipment investment, etc.) together in the simulation. .

In this process, the production method of the factory should be evaluated first. 로직 The logic design of the factory model is changed according to the process characteristics of JOP SHOP, BATCH PRODUCTION, and LINE PRODUCTION. Process structuring is required.

In particular, in the case of batch production, it is necessary to be connected from product design to process structuring as it corresponds to a complicated process such as shipbuilding. In the case of line production, it is a repetitive production of automobiles and semiconductors. This is important as it is directly related to manufacturing cost.

To do this, it is necessary to verify the 1: 1 mapping of the product bill of material (BOM) to the production process with an ICOM structure, and then create a process and factory layout and a mapping table of materials as the main activities before factory modeling. .

In addition, after performing factory modeling, it is natural to perform a factory simulation of the what-if scenario that gathers the requirements, and extract the results into a result table to assist in manufacturing execution. The virtual model has to be built in time from setup to completion.

7 is a flowchart illustrating a method for constructing a simulation based production execution system according to the present invention.

Referring to FIG. 7, the building apparatus receives and stores requirement and enterprise period system information (S600).

When the S600 is performed, the building device designs a structure of a simulation based execution system using the input information and simultaneously builds a virtual factory model (S602a and 602b).

A detailed description of the method of designing the structure of the simulation-based execution system will be described with reference to FIG. 8, and a detailed description of the factory model construction method will be described with reference to FIG. 9.

When the structure of the simulation-based execution system and the virtual factory model are constructed as described above, the building device integrates the factory model and the simulation-based execution system (S604) and tests whether it operates normally (S606).

8 is a flowchart illustrating a method of designing a structure of a simulation based production execution system according to the present invention.

Referring to FIG. 8, the system structure design module receives and analyzes requirements and company period system information (S700). At this time, the system structure design module analyzes and extracts information that meets the requirements from the inputted enterprise period system information.

When the S700 is performed, the system structure design module receives system design basic information including component information, user scenario information, and interlocking scenario information of the simulation-based execution system (S702).

The user scenario includes at least one of a related component having a dependent relationship to interwork with each other, a component included in structure concepts above and below, and an interface for exchanging data and control information with the related component.

For example, in the case of an assembly plant, the user's scenario is 'predicting the unit product output of the assembly line by day, predicting the utilization rate of the assembly line by day, to predict the worker utilization rate of the assembly line by day.' Etc.

When S702 is performed, the system structure design module designs a system structure using component information based on the user scenario information (S704).

That is, the system structure design module designs the system structure using the relationship between the components included in the user scenario information.

When S704 is performed, the system structure design module sets an interlocking relationship between components in the designed system structure and an interworking relationship with an enterprise-based system by using the interlocking scenario information (S706). That is, the system structure design module implements a component so that each module of the simulation-based execution system is driven to design component integration between the simulator result information and the execution system.

When the step S706 is performed, the system structure design module implements code to perform the set interlocking relationship in the designed system structure (S708).

The system structure design module then compiles the implemented code to test whether the designed system structure is normally operable (S710). That is, the system structure design module compiles the implemented code to test whether the system structure operates according to a user scenario and works well with the enterprise backbone system.

9 is a flowchart illustrating a factory model building method according to the present invention.

Referring to FIG. 9, the factory model building module analyzes requirements and enterprise period system information input from a client (S800).

Then, when the PPRS information is input (S802), the factory model building module uses the input PPRS information to structure a function / activity based product-specific process (S804). That is, the factory model building module structure the process using IDEFO (IDEF Function Modeling) on the input PPRS information. Here, the structuring of the process refers to creating an inter-process hierarchical structure in producing a single product.

When the product-specific process is structured as described above, the factory model building module generates a factory process model using the process layout diagram for the product-specific structured process (S806).

That is, the factory model building module displays the process for each product based on the routing path displayed on the layout of the factory to generate a layout-based process, and adds a table displaying information such as resources and schedules to the generated layout-based process. A factory process model.

When the factory process model is generated as described above, the factory model building module designs a what-if scenario in which a specific variable value is different with respect to the generated factory process model (S808). That is, the factory model building module designs what-if scenarios in which the variables vary, such as layout change and facility location change, for the generated process model.

Then, when a simulation command is input (S810), the factory model building module simulates the generated factory process model to be a virtual factory and outputs result information of the current factory model (S812).

That is, when a simulation command is input, the factory model building module simulates a virtual factory model by mapping PPRS, input variables, and process data to the factory process model. The factory model building module then applies the kinematics of the facility and the operator to the simulated virtual factory model to calculate the throughput. Here, the throughput may be the result information of the current factory model.

After the operation of S812, the factory model building module simulates by applying the value of the what-if scenario to the factory model process (S814), and compares / analyzes the simulated result with the result information of the current factory model ( S816).

That is, the factory model building module compares the result information of the current factory model with the simulation result information for the what-it scenario and analyzes and evaluates the quantitative results of the process.

In addition, the factory model building module refines information such as the distribution of the worker's allocation to the process through the comparison / analysis, examines the output of each process of the product, in addition to the information generated quantitatively, Further analysis of factors and safety inventory is carried out.

In addition, the factory model building module determines not only the verification process performed in the simulation step through the comparison / analysis, but also how accurately the factory simulation model reflects reality.

In addition, by the comparison / analysis, non-operation, bottlenecks reflecting the failure rate, bottlenecks according to the replacement of the routing path, equipment and worker operation rate analysis including at least one of the production volume, calculation status of products and semi-finished products, failure rate and product failure rate of equipment Checks, material supply cycles and material exhaustion can be checked.

After the execution of the S816, the factory model building module selects a factory model most suitable for the requirements according to the result of the comparative analysis (S818).

As such, those skilled in the art will appreciate that the present invention can be implemented in other specific forms without changing the technical spirit or essential features thereof. Therefore, the above-described embodiments are to be understood as illustrative in all respects and not as restrictive. The scope of the present invention is shown by the following claims rather than the detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included in the scope of the present invention. do.

1 is a block diagram schematically showing the configuration of a simulation-based production execution system construction apparatus considering the integrated environment according to the present invention.

FIG. 2 is a block diagram detailing the requirements and enterprise period system information collection module shown in FIG. 1; FIG.

3 is a block diagram showing in detail the system structure design module shown in FIG.

4 is a block diagram showing in detail the configuration of the factory model building module shown in FIG.

5 is a detailed view of the process structurer shown in FIG. 4;

6 is a view illustrating in detail the process modeling unit illustrated in FIG. 4.

7 is a flowchart illustrating a method for constructing a simulation based production execution system according to the present invention.

8 is a flowchart illustrating a method of designing a structure of a simulation based production execution system according to the present invention.

9 is a flow chart showing a factory model building method according to the present invention.

<Explanation of symbols for the main parts of the drawings>

100: simulation based production execution system building device

110: requirements and enterprise period system information collection module

130: system structure design module 132: basic information collection unit

134: system structure design unit 136: interlocking relationship setting unit

138: coding unit 140: test unit

150: factory model building module 152: condition setting unit

154: process structurer 156: process modeling unit

158: what-if scenario design unit 160: simulation unit

162: result analysis unit 170: integrated test module

Claims (15)

(a) when the requirements information and the enterprise term system information are input, designing a simulation based execution system structure and simultaneously building a virtual factory model; and (b) performing simulation by applying the virtual factory model to the constructed simulation based execution system structure; Simulation based production execution system building method comprising a. The method of claim 1, The requirement includes at least one of environment, target, project scope, long term planning information, short term planning information, factory operation plan verification information, factory management key information, product / resource model information, manufacturing execution master data, and the enterprise period. The system information includes at least one of material management, production planning, management accounting, factory management, personnel management information of the enterprise. The method of claim 1, In the step (a), the step of designing a simulation based execution system structure, Receiving system structure design basic information including at least one of component information of a system, user scenario information, and interlocking scenario information; Designing a system structure for the component information based on the user scenario information; Setting an interworking relationship between components in the designed system structure and an interworking relationship with an enterprise-based system using the interworking scenario; Implementing code to perform the set interworking relationship in the designed system structure; and Compiling the implemented code to test whether the designed system structure is capable of normal operation. The method of claim 3, The user scenario may include at least one of a related component having a dependent relationship to interoperate with each other, a component included in structure concepts above and below, and an interface for exchanging data and control information with the related component. How to build a production execution system. The method of claim 3, The interlocking scenario includes a linkage relationship between components and a linkage relationship with an enterprise period system. The method of claim 1, In the step (a) to build a virtual factory model, If PPRS information is input by the user, structuring a product-specific process; Generating a factory process model by matching the structured product-specific process with a layout of a factory; Designing a what-if scenario with different values of specific variables in the generated factory process model; If the simulation command is input, simulating the factory process model and outputting result information of the current factory model; Performing a simulation to which the what-if scenario is applied to the factory process model and comparing the result information of the current factory model; and And establishing a virtual factory model corresponding to the requirement by comparing the result information. The method of claim 6, When the PPRS information is input by the user, structuring the product-specific process, Receiving PPRS information including products, processes, resources, and schedules; Structuring a hierarchical structure and a production process of parts for each product using the PPRS information; Analyzing process equipment and process characteristics for the structured production process; and And applying the analyzed process equipment and process characteristics to the production process to structure a product-specific process with function or activity-oriented ICOM. The method of claim 6, Generating a factory process model by matching the structured product-specific process with the layout of the factory, Displaying the structured product-specific process around a routing path indicated on a layout of a factory; and And generating a factory process model to which a table displaying resources and schedules is added to the layout-based process. The method of claim 6, When the simulation command is input, the step of outputting the result information of the current factory model by simulating the factory process model, When the simulation command is input, simulating a virtual factory model by mapping PPRS, input variables, and process data to the factory process model; Calculating throughput by applying kinematics of equipment and workers to the simulated virtual factory model; and And analyzing the calculated throughput and outputting result information of the current factory model. The method of claim 1, In step (b), Integrating the constructed simulation based execution system structure and the virtual factory model to construct a simulation based execution system; And testing whether the constructed simulation-based execution system is operating normally. In the apparatus for building a simulation-based execution system, A requirements and enterprise period system information collection module for collecting requirements and enterprise period system information; A system structure design module configured to designate a system structure by receiving at least one of component information, user scenario information, and interlocking scenario information of an execution system from a user, and setting an interlocking relationship such that the designed system structure is interlocked according to the interlocking scenario information; A factory model building module for building a virtual factory model using the information collected through the requirement and the enterprise period system information collection module and the PPRS information input by the user; and An integrated test module configured to perform a test by applying a virtual factory model built in the factory model building module to a system built in the system structure design module; Simulation-based production execution system building apparatus comprising a. The method of claim 11, The system structure design module, A basic information collecting unit receiving system design basic information including at least one of component information of the execution system, user scenario information, and interworking scenario information; A system structure design unit which designs a system structure for the component information based on user scenario information collected by the basic information collecting unit; An interlocking relationship setting unit for setting an interlocking relationship between components in a system structure designed by the system structure design unit and an interworking relationship with an enterprise-based system by using the interlocking scenario collected by the basic information collecting unit; A coding unit for implementing a code so that the system structure designed by the system structure design unit and the interworking relationship set by the interworking relationship setting unit can be performed in the system as designed; and And a test unit for compiling the code implemented in the coding unit to determine whether a function is performed as designed. The method of claim 11, The factory model building module, A condition setting unit that receives and stores requirements, process data, and PPRS information; A process structurer configured to structure a product-specific process using requirements, process data, and PPRS information inputted through the condition setting unit; A process modeling unit generating a factory process model by matching the product-specific process generated by the process structuring unit with a layout drawing of the factory;  A what-if scenario design unit for designing a what-if scenario in which a value of a specific variable is different from a factory process model generated by the process modeling unit; A simulation unit for simulating a factory process model generated by the processor modeling unit, outputting result information of a current factory model, and applying a scenario designed by a what-if scenario design unit to the factory process model when a simulation command is input; And a result analysis unit for comparing and outputting the result information of the current factory model and the result information of the what-it scenario output by the simulation unit. The method of claim 13, The simulation unit simulates a virtual factory model by mapping PPRS, input variables, and process data to the factory process model, and calculates throughput by applying facility and worker kinematics to the simulated virtual factory model. To build a simulation-based production execution system. The method of claim 13, The simulation-based production execution system building apparatus, characterized in that for selecting a virtual factory model corresponding to the requirements according to the results of the result analysis unit.

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