KR20100034258A - Method for building customizable digital manufacturing system using digital factory - Google Patents

Abstract

PURPOSE: A method for building a customized digital manufacturing system using a digital factory is provided to product a virtual product through a virtual digital factory, thereby finding unnecessary waste elements. CONSTITUTION: Data of human/physical resources are measured(S101). A database of the data of the human/physical resources is built(S103). Two or three dimensional modeling of the human/physical resources is performed(S105). The human/physical resources are selected(S107). The human/physical resources of the database are detected(S109). A virtual digital factory is two or three dimensionally constructed(S111).

Description

METHOOD FOR BUILDING CUSTOMIZABLE DIGITAL MANUFACTURING SYSTEM USING DIGITAL FACTORY}

The present invention relates to a method for building a customized digital production system for a company using a digital factory, and more particularly, it is possible to find unnecessary waste elements in advance, and based on this, the production and production processes are optimized. The present invention relates to a method for building a customized digital production system using a digital factory that can be improved.

Recently, various methods of increasing the productivity of products by incorporating IT (Information Technology) technology into the management of companies and the production of products have been proposed.

Examples include Enterprise Resource Planning (ERP), Manufacturing Execution System (MES), Advanced Planning & Scheduling System (APS), and Computer Design System (CAD). Computer Aided Design, Computer Aided Manufacturing (CAM) and Bill of Material (BOM).

These IT technologies computerize processes such as production, manufacturing, logistics, finance, accounting, sales, purchasing, and inventory within an enterprise, integrating and tracking them, and automating the design and production of products. Thus, the company's management efficiency and product production efficiency are greatly improved.

By the way, these conventional technologies computerize various processes in the enterprise and automate the production of products to improve the efficiency of management and production, but can track and manage various wastes generated during the production and production of products. There is a drawback, and this drawback is pointed out that there is a limit to improve the productivity and quality of the product.

In other words, in order to increase the productivity and quality of the product, unnecessary waste elements generated during the production and production of the product, for example, waste factors due to the diversification of production items, waste factors due to differences in individual workers' ability, and performance differences by machine facilities It is very important to find and eliminate the waste factors caused by the waste, the waste caused by the difference in work methods, and the waste caused by the supply disruption of raw materials / subsidiary materials.

However, the conventional technology has a problem that it is not only to computerize various processes in the enterprise and to automate the production of the product, but also to find and eliminate various waste elements generated during the production and production of the product. As a result, various waste factors can not be removed, there is a drawback that there is a limit to improve the productivity and quality of the product.

The present invention has been made to solve the above-mentioned conventional problems, the purpose of which is to create a virtual digital factory to produce and manufacture a virtual product in various scenarios, which is generated during the production and production of the product The present invention provides a method for building a customized digital production system using a digital factory that can find unnecessary waste in advance.

Another object of the present invention is to provide a method for constructing an enterprise customized digital production system using a digital factory which can improve work processes in an optimal state based on the finding of unnecessary waste elements in advance.

Another object of the present invention is to improve the productivity and quality of the product as much as possible by improving the work process to the optimal state, and thus, a digital factory that can produce a good quality product, and can expect the cost reduction effect To provide a customized digital production system construction method using

Another object of the present invention is to build a virtual digital factory to produce and manufacture a virtual product, while creating a customized digital production system using a digital factory to implement a variety of scenarios according to the daily production plan To provide.

Another object of the present invention, by configuring to implement a scenario suitable for the daily production plan, it is possible to implement in advance the daily production plan for the production of small quantities of multi-products, as a result, the optimum work process suitable for small quantities of small quantities production The present invention provides a method for building a customized digital production system using a digital factory that can be used to derive

Another object of the present invention, by building a virtual digital factory to produce and produce a virtual product in various scenarios, it is possible to accumulate and learn a variety of information necessary for the production and production of the product, as a result, The present invention provides a method for building a customized digital production system using a digital factory that can maximize production efficiency and minimize unnecessary waste.

Another object of the present invention is to produce a digital product using a virtual digital factory, but analyzes the data of the machine (Machine), man (Man), material (Material), manufacturing method (Method) By producing a digital product, the company provides a method for building a customized digital production system using a digital factory that can derive the optimal production process required for the production and production of a product.

In order to achieve the above object, a method for constructing a company-specific digital production system using the digital factory of the present invention is a method of constructing a digital production system using a digital factory, comprising: a) human and physical material for constructing a virtual digital factory; Measuring and collecting data of specifications; b) classifying the measured and collected data of the human and physical specifications into machines, machines, workers, materials, and methods; c) modeling human and material specifications based on the databased data; d) selecting specific ones of the modeled human and material specifications to build a virtual digital factory; e) running the established virtual digital factory; f) detecting performance data of selected human and material specifications in a database, and calculating and calculating production related information of the product based on the detected performance data; g) comparing and analyzing the performance differences by human and physical specifications based on the calculation and the production related information of the product; h) displaying the production-related information of the calculated and calculated products and the performance difference for each of the analyzed specifications; i) re-selecting the Man, the Material, and the Manufacturing Method in step d) to maximize the yield.

According to the method of building a customized business production system using the digital factory according to the present invention, since the structure can be produced and manufactured by creating a virtual digital factory, unnecessary waste generated during the production and production of the product It has the effect of finding elements in advance.

In addition, since unnecessary waste elements can be found in advance, there is an effect of improving the production and manufacturing process to an optimal state based on this.

In addition, since the production and manufacturing process can be improved to the optimum state, it is possible to improve the productivity and quality of the product as much as possible, and as a result, it is possible to produce high quality products and expect the effect of cost reduction. Has

In addition, the virtual product can be produced and produced in various scenarios, which not only finds unnecessary waste elements but also has the effect of deriving the optimal production and manufacturing processes required for the production and production of the product. have.

In addition, since the virtual product can be produced and manufactured, the actual product yield, production period, etc. in the factory can be predicted in advance.

In addition, the actual production capacity and production period of the product can be predicted in advance, so it is possible to predict the supply amount of raw materials, subsidiary materials, etc. required for the production of the product in advance, and thus improve the flow of logistics. It has an effect.

In particular, since the flow of logistics can be improved, raw materials and subsidiary materials can be quantitatively supplied on time, and as a result, there is an effect of maximizing product productivity and product quality.

In addition, since a virtual digital factory is constructed, only a man, a material, and a manufacturing method can be reselected, and a corresponding product can be manufactured virtually. Production planning can be planned in advance, and as a result, the optimal production process can be planned in advance.

In particular, since the production plan of the product can be prepared in advance, the next day's production can be predicted in advance, and as a result, it is very suitable for implementing the daily production plan for the production of small quantities of various products in advance.

In addition, the virtual digital factory is built to produce and manufacture virtual products in various scenarios, so that various information necessary for the production and production of products can be accumulated and learned. As a result, the production efficiency of products It can maximize and minimize the unnecessary waste.

In addition, a digital product is produced using a virtual digital factory, but the data of the machine, the man, the material, and the method are analyzed and the digital product is produced based on this. Because of the structure, there is an effect that can derive the optimum production process required for the production and production of the product.

Hereinafter, a preferred embodiment of a method for constructing an enterprise-customized digital production system using a digital factory according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram showing hardware suitable for implementing a method for building a digital production system according to the present invention, Figure 2 is a flow chart showing each step of the method for building a digital production system according to the present invention.

First, referring to FIG. 1, hardware suitable for implementing the present invention includes a digital factory construction unit 10.

The digital factory building unit 10 is hardware for constructing a virtual digital factory using various data and information, and includes data measuring devices 12.

The data measuring instruments 12 measure and collect data of human and material specifications for constructing a virtual digital factory. And a worker-specific capability meter 16.

The performance measuring device 14 for each machine is composed of a counter, a stopwatch, and the like, and measures the performance for each machine, for example, the number of parts per minute for each machine and the speed for processing the parts for each machine.

The worker's capacity measuring device 16 is composed of a counter, a stopwatch, and the like, and measures the worker's work ability, for example, the number of parts processed per minute per worker, the speed of parts processed by each worker, and the like.

In addition, the data measuring device 12 is equipped with various measuring devices which can measure the copper wire of the worker and the logistics, the size of the mechanical equipment, the size of each component, and the like in various ways.

The digital factory construction unit 10 of the present invention includes a main server 18. The main server 18 is composed of a hard disk drive (HDD) and the like, and is connected to a user through an interface device 18a, for example, a keyboard, a mouse, a joystick, a scanner, and the like. .

The main server 18 includes a server control unit 20 and a plurality of databases 22, 24, 26, and 28.

The server control unit 20 includes data of human and material specifications input through the interface device 18a, for example, "performance data for each machine facility" and "workability data for each worker" measured by the data measuring unit 12. "Is stored in the corresponding database 22, 24, 26, 28.

In addition, the server control unit 20 includes the databases 22, 24, 26, 28 corresponding to "material type data of the product", "product manufacturing method data", etc. inputted through the interface device 18a. Store in

The databases 22, 24, 26, 28 are equipped with the hardware database 22, the worker database 24, the material database 26, and the manufacturing method database 28. As shown in FIG.

The mechanical equipment database 22 stores the specifications of various mechanical equipment for manufacturing a product, performance data for each mechanical equipment, for example, the number of parts processed per minute, the processing speed, and the like for each mechanical equipment.

The worker database 24 stores work capability data for each worker for assembling and manufacturing a product, for example, the number of parts per minute for each part, the processing speed, and the like.

In the material database 26, the material of the product to manufacture is classified and stored by type. In addition, the flow of logistics from the receipt of materials to the delivery of goods, for example, logistics supply, logistics storage, and logistics movement are stored in various ways.

The manufacturing method database 28 classifies and stores the manufacturing method of a product, for example, a work route replacement time, an assembly sequence, an assembly method, etc. by type.

Here, various data stored in each of the databases 22, 24, 26, and 28 can be modified, added, supplemented, and edited as necessary, and such correction, addition, supplementation, and editing are performed through the interface device 18a. .

The digital factory construction unit 10 of the present invention includes a modeling tool 30 for modeling a factory to be diagnosed.

The modeling tool 30 is constituted by a normal personal computer (PC) and incorporates a modeling tool program.

Modeling tool programs include 2D, 3D modeling programs such as Auto CAD, 3D MAX, Pro-E, Quest, eM-Plant, and Arena (ARENA). Simulation programs, and these programs are based on the data of human and physical specifications stored in the databases 22, 24, 26, 28, and the like. Workers are modeled in two-dimensional (2D) and three-dimensional (3D).

The modeling tool program also models the overall layout of the factory to be diagnosed in two dimensions (2D) and three dimensions (3D). In particular, the arrangement position of the mechanical equipment, the working position of the worker and the movement of the worker and logistics are modeled accurately.

On the other hand, each modeling data of human and material specifications modeled in two-dimensional (2D) and three-dimensional (3D) is classified and stored in the corresponding database (22, 24, 26, 28).

Referring back to FIG. 1, the hardware required to implement the present invention includes a digital factory diagnostic unit 50.

The digital factory diagnosis unit 50 includes an input unit 52 and a control unit 54 as a part for virtually diagnosing an actual factory using a digital factory built in advance.

The input unit 52 is composed of a normal interface device, for example, a keyboard, a mouse, a joystick, a scanner, and the like.

The input unit 52 allows the user to produce the human and physical specifications required for the construction of the digital factory, for example, the type of product to be produced in the digital factory, the production period, the amount of production, and the type of machinery required for the production of the product. And, it is possible to select the number of workers, specific workers and the like.

In particular, it is possible to select a kind of product, a kind of mechanical equipment, an operator, and the like stored in advance in the databases 22, 24, 26, 28 of the digital factory construction unit 10, and as a result, It allows you to build the virtual virtual factory you need.

Here, the input unit 52 may use the interface device 18a of the digital factory construction unit 10 in common or may be configured separately in some cases. Preferably, the interface device 18a of the digital factory construction unit 10 may be shared.

The control unit 54 includes a microprocessor, and the control unit 54 stores the human and physical specifications previously stored in the databases 22, 24, 26, and 28 in response to the selection signals of the human and physical specifications input from the input unit 52. And the like. For example, the kind of product, the kind of mechanical equipment, the operator, etc. are detected.

And build a virtual digital factory based on human and material specifications. In particular, a virtual digital factory is constructed based on the human and material specifications modeled in advance in 2D and 3D, namely, the layout of machinery, workers, products, and factories. Thus, as shown in FIGS. 3, 4 and 5, the virtual digital factory can be displayed in two dimensions (2D) and three dimensions (3D).

Here, the controller 54 has a built-in drive program for displaying the human and material specifications modeled in two dimensions (2D) and three dimensions (3D) in two dimensions (2D) and three dimensions (3D). to be.

Referring to FIG. 1, the control unit 54 includes an internal computing unit 56, a comparison analysis unit 58, and a data reproducing unit 60.

When the operation signal of the digital factory is input from the input unit 52, the calculating unit 56 stores the performance data of the human and material specifications, for example, the performance data and the work capability data of the machinery and the workers. It detects at (22, 24, 26, 28).

On the basis of the detected data, information related to the production of the product, for example, the production quantity and the production period, is calculated and calculated. In particular, the total output of the product for a specific period, the product output per line for a specific period, the product output per machine for a specific period, the product output for each worker for a specific period, and the production period for the product for a specific production period. Calculate and calculate.

That is, for example, the production quantity per part "A part" of "A machine equipment" is five, and the production quantity per part "B part" of "B machinery" is four, and "A part" and "B part" are " When the assembly amount per minute of the "worker" assembled by "C part" is three, it is detected by the databases 22, 24, 26 and 28. FIG.

On the basis of the detected "Part A" manufacturing quantity, the "Part B" manufacturing quantity 4 and the "C part" assembling quantity of the "A part" and the "B part" three, it is 1440 at 8 hours a day. It calculates that the dog can be assembled by the operator, and as a result, it calculates the total output of the product for a certain period of time.

The comparison and analysis unit 58, based on the results calculated by the calculation unit 56, the performance difference between human and physical specifications, for example, the difference in product throughput and processing speed between the mechanical equipment, and the product throughput and processing speed between workers Compare and analyze the differences and output the results.

For example, when the production amount of parts of "A machine equipment" and "B machine equipment" installed on the same production line is 5 pieces and 4 pieces per minute, respectively, they are compared and analyzed to output the difference in production quantity between the two as data. In particular, it analyzes by time and machine facilities and outputs it as data.

In addition, when the number of parts assembly of "worker A" and "worker B" installed on the same production line is 3 and 5 per minute, respectively, they are compared and analyzed to output the difference in the amount of assembly between the two. In particular, it analyzes by time and individual and outputs it as data.

On the other hand, the data reproducing unit 60, the production-related information of the product calculated by the calculating unit 56, for example, the total output of the product for a specific period, the product output for each production line for a specific period, for a specific period Product output per machine facility, product output for individual workers for a specific period of time, production period of the product for a specific production amount, etc. are processed and output through the display unit 62. In particular, the control results are displayed in graphs, tables, and the like.

In addition, the data reproducing unit 60 processes the performance difference for each specification output from the comparative analysis unit 58, for example, a product throughput and a processing speed difference between machine facilities, a product throughput and a processing speed difference between workers, and the like. To be output through the display unit 62.

In particular, it is possible to control the display of the product throughput and processing speed difference between machine facilities and the product throughput and processing speed difference between workers in graphs and charts, or to model 2D and 3D models. Control to be displayed in the digital factory.

Next, a method for constructing a digital production system according to the present invention implemented through hardware having such a configuration will be described with reference to FIGS. 1 to 6 (to easily understand the method for constructing a digital production system, a pump for a cosmetic container) We will explain by taking a plant as an example.

First, the digital production system construction method of the present invention, as shown in Figures 1 and 2, comprising the steps of measuring and collecting data of human and physical specifications for building a digital factory (S101). At this time, the data of human and physical specifications include the performance of each facility, the ability of individual workers, and the like, and these data are measured and collected through a data measurer 12 such as a counter and a stopwatch.

When the measurement and collection of the data is completed, the data of the measured and collected human and material specifications are mainized to the main server 18 by type (S103). In this case, it is preferable to classify the collected data into machines, machines, workers, materials, and methods.

When the database of the data is completed, the human and material specifications are modeled in two or three dimensions or both two and three dimensions based on the data of the human and material specifications stored in the database (S105).

In the step of modeling the human and physical specifications, the human and physical specifications stored in the database 22, 24, 26, and 28 are modeled by type, as well as the arrangement position of the human and physical specifications and the movement of logistics, and The layout of the factory is also modeled exactly as it is in the real world.

On the other hand, when the modeling of the specifications is completed, the modeled human and physical specifications are selected to build a virtual digital factory, and operate the built digital factory to manufacture a virtual product.

That is, the human and material specifications are selected according to the product to be produced (S107). For example, the type of equipment required for the production of the product, the number of workers, a specific worker, and the like are selected.

Then, the control unit 54 detects the human and physical specifications previously stored in the databases 22, 24, 26, and 28 corresponding to the selected human and physical specifications (S109), and based on the detected results, virtual digital The factory is constructed in two and three dimensions (S111).

Referring to FIGS. 3, 4, and 5, it can be seen that virtual digital factories constructed through the selection of human and material specifications are expressed in two and three dimensions. In particular, Figure 5 shows a part of the assembly line for assembling the pump for cosmetic containers is built in three dimensions.

1 and 2, when the construction of the virtual digital factory is completed, the virtual digital factory is started (S113). Then, the virtual digital factory starts to operate according to the data previously stored in the databases 22, 24, 26, and 28.

At this time, the calculation unit 56 of the control unit 54, the performance data of the human and physical specifications for building the digital factory, that is, the performance data and work ability data of the machinery and workers, database 22, 24, 26, 28) (S115).

On the basis of the detected data, the production related information of the product, for example, the production amount and the production period, is calculated and calculated (S117). In particular, it calculates and calculates the total output of a product for a specific period, the product output for each production line, machine facilities, and individual workers for a specific period, and the production period of the product for a specific production.

The comparison and analysis unit 58 of the control unit 54, based on the result calculated by the operation unit 56, the performance difference between the human and physical specifications, for example, the difference in product throughput and processing speed between the mechanical equipment, and the worker Compare and analyze the product throughput and processing speed difference between the (S119).

Then, the data reproducing unit 60 of the control unit 54 stores the production related information of the product calculated by the calculating unit 56, for example, the total output of the product for a specific period and the machine-specific line and production line for the specific period. The product output for each star and worker, the production period of the product for a specific production, etc. are processed and output through the display unit 62.

Then, the display unit 62, the production-related information of the product processed in the operation unit 56, that is, the total production of the product for a specific period, the product output for each machine equipment, production line, worker individual for a specific period, The production period of the product for a specific production amount is displayed in graphs, diagrams, etc. (S121).

As a result, the user can grasp the production and manufacturing status and status of the product at a glance. Therefore, it is possible for the user to grasp in advance the various situations occurring during the production and manufacture of the product in the actual factory. In particular, it enables to identify and analyze in advance the various waste factors generated during the production and manufacture of the product.

In addition, the data reproducing unit 60 may measure the performance difference according to the human and material specifications output from the comparative analysis unit 58, for example, a product throughput and a processing speed difference between machine facilities, a product throughput and a processing speed difference between workers, and the like. Processing is then output via the display unit 62.

Then, the display unit 62 displays the processed result in a graph, diagram, or in a virtual digital factory modeled in three dimensions (3D) (S123). As a result, the user can grasp at a glance the performance difference between the mechanical equipment generated during the production and manufacture of the product, the ability difference for each worker, and the like.

Therefore, it is possible to identify and analyze in advance the various losses and waste factors caused by the performance difference between the machine facilities and the individual worker's ability difference during production and manufacturing of the product in actual factory. Based on the loss factor and the loss factor, it is possible to improve the working process of the product to the optimal state.

Referring to FIG. 5, it can be seen that the capability difference for each worker analyzed by the comparison analyzer 58 is displayed in the digital factory.

That is, Figure 5 shows the assembly line of the pump for cosmetic containers, in which the residual amount (R) of the parts not assembled on each side of each worker is displayed for each worker. Therefore, it is possible to know the difference in the ability of each worker through the residual amount (R) of the parts, thereby, it is possible to easily identify the waste and loss factors due to the worker's capacity difference.

6, it can be seen that the production completion time of the product for each production line calculated by the calculation unit 56 is displayed in a bar graph. The production line at this time is the production line of the pump for cosmetic containers.

According to this graph, it can be seen that the production completion time for each production line is different for a specific production amount. Therefore, it is possible to grasp the production status of the product for each production line at a glance through such a graph, and thus, it is possible to predict in advance various situations occurring during the production and production of the product in the actual factory.

Again, as shown in FIG. 1 and FIG. 2, when the display of the performance difference by the human and physical specifications is completed, the worker evaluates the human and the physical specification based on the performance difference by the human and physical specifications (S125). .

Then, the human and material specifications are reselected according to the evaluated result (S127). Then, in response to the reselected human and physical specifications, the human and physical specifications previously stored in the databases 22, 24, 26 and 28 are detected again (S109), and a virtual digital factory is constructed based on the detected results. (S111), the constructed virtual digital factory is started (S113).

In operation, the digital factory calculates and calculates production-related information of a new product according to the steps S115 to S123 in the series described above, and newly analyzes and displays performance differences between the human and physical specifications thereof. .

As a result, various production-related information corresponding to the reselected human and physical specifications are provided, and the various information thus provided are the basis for deriving an optimal production process.

In addition, to plan and predict next-day production in advance, reselect the human and material specifications corresponding to the next-day production process (S127), and execute the series of steps described above, You can predict ahead.

Therefore, the next day's production plan can be planned in advance, and as a result, an optimal production process can be derived.

On the other hand, in the step S127 of reselecting the human and material specifications, since the machine is set in advance, it is preferable to reselect mainly on the Man, the material, and the manufacturing method. desirable.

According to the present invention having such a configuration, since a virtual digital factory can be built to produce and manufacture a virtual product, unnecessary waste elements generated during production and production of the product can be found in advance. .

In addition, since unnecessary waste elements can be found in advance, the production and manufacturing process can be improved to an optimal state based on this structure.

In addition, since the work process can be improved to an optimal state, the productivity and quality of the product can be improved as much as possible, and as a result, a high quality product can be produced and the cost reduction effect can be expected.

In addition, the virtual product can be produced and manufactured in various scenarios, for example, using different machines, different numbers of workers, and different workers, thus not only finding unnecessary waste elements, It is possible to derive the optimal production and manufacturing processes for the production and manufacture of products.

In addition, since the virtual product can be produced and manufactured, it is possible to predict, in advance, the actual product production volume and production period.

In addition, it is possible to predict the actual production volume and production of the product in advance, so that it is possible to predict in advance the supply amount of raw materials, subsidiary materials, etc. required for the production of the product, the timing of supply, etc., as a result, improve the flow of logistics .

In particular, since the flow of logistics can be improved, raw materials and subsidiary materials can be quantitatively supplied on time, and as a result, product productivity and product quality can be maximized. In addition, virtual production learning, creation of virtual production scenarios for high efficiency production, and low cost automation (LCA) can be implemented.

In addition, since a virtual digital factory is constructed, only a man, a material, and a manufacturing method can be reselected, and a corresponding product can be manufactured virtually. Production plans can be pre-planned, and as a result, optimal production processes can be planned in advance.

In particular, since the production plan of the product can be prepared in advance, the next day's production can be predicted in advance, and as a result, it is very suitable for implementing the daily production plan for the production of small quantities of various products in advance.

In addition, the virtual digital factory is built to produce and manufacture virtual products in various scenarios, so that various information necessary for the production and production of products can be accumulated and learned. As a result, the production efficiency of products Can be maximized and unnecessary waste can be minimized.

In addition, a digital product is produced using a virtual digital factory, but the data of the machine, the man, the material, and the method are analyzed and the digital product is produced based on this. Because of this structure, it is possible to derive the optimum production process required for the production and production of products.

Although the preferred embodiment of the present invention has been described above by way of example, the scope of the present invention is not limited only to such specific embodiments, but may be appropriately changed within the scope described in the claims.

1 is a block diagram showing hardware suitable for implementing a method for building a customized business digital production system according to the present invention;

2 is a flow chart showing each step of the method for building a customized business digital production system according to the present invention;

3 is a diagram illustrating in two dimensions a virtual digital factory modeled according to a method for building a customized business digital production system according to the present invention;

4 is a diagram illustrating in three dimensions a virtual digital factory modeled according to a company-specific digital production system construction method according to the present invention;

5 is an enlarged view illustrating an assembly line of a virtual digital factory modeled in three dimensions according to a method for building a customized business digital production system according to the present invention;

Figure 6 is a graph showing the results calculated according to the enterprise-specific digital production system construction method according to the present invention, a graph showing the production completion time of the product for each production line.

♣ Explanation of symbols for the main parts of the drawing ♣

10: digital factory building unit 12: data measuring instrument

18: Main Server 18a: Interface Device

20: server control unit 22: hardware database

24: worker database 26: material database

28: manufacturing method database 30: modeling tool

50: digital factory diagnostic unit 52: input unit

54: controller 56: calculator

58: comparative analysis unit 60: data playback unit

62: Display R: Residual amount

Claims (5)

In the method of building a digital production system using a digital factory, a) measuring and collecting data of human and material specifications to build a virtual digital factory; b) classifying the measured and collected data of the human and physical specifications into machines, machines, workers, materials, and methods; c) modeling human and material specifications based on the databased data; d) selecting specific ones of the modeled human and material specifications to build a virtual digital factory; e) running the established virtual digital factory; f) detecting performance data of selected human and material specifications in a database, and calculating and calculating production related information of the product based on the detected performance data; g) comparing and analyzing the performance differences by human and physical specifications based on the calculation and the production related information of the product; h) displaying the production-related information of the calculated and calculated products and the performance difference for each of the analyzed specifications; i) re-selecting the man, material, and method in step d) to maximize production. How to build a production system. The method of claim 1, In step c), A method for building a customized digital production system using a digital factory, characterized in that the human, material specifications are modeled in two or three dimensions or both two and three dimensions. The method of claim 1, In step f), A company using a digital factory which calculates and calculates the total output of a product for a specific period, the product output for each production line, machine facility, and worker for a specific period, and the production period of the product for a specific production amount. How to build a customized digital production system. The method of claim 1, In step g), A method of building a customized digital production system using a digital factory, characterized by comparing and analyzing the difference in product throughput and processing speed between machines and the difference in product throughput and processing speed between workers. 5. The method according to any one of claims 1 to 4, In step h), The method of claim 1, wherein the production-related information and the performance difference according to the specifications are displayed in a graph and a chart.

Images