Optimized production method and system for equipment manufacturing workshop based on value flow graph

Abstract

The invention discloses an optimized production method and system for an equipment manufacturing workshop based on a value flow graph, and belongs to the field of production management, and the method comprises the steps: analyzing the current situation and existing problems of an intelligent manufacturing equipment workshop; drawing a value flow current graph of the intelligent manufacturing equipment workshop, and analyzing the production management problem of the intelligent manufacturing equipment workshop based on the value flow current graph; and generating an adjustment suggestion according to the existing problem. According to the optimized production method and system for the equipment manufacturing workshop based on the value flow graph, waste generated by analysis of the value flow graph is reduced, the delivery time is effectively controlled, and the on-time delivery rate is increased.

Description

Technical Field

[0001] The present invention relates to the technical field of production management, and in particular to an optimized production method and system for an equipment manufacturing workshop based on a value stream map. Background Art

[0002] Intelligent manufacturing equipment refers to equipment that is endowed with the functions of sensing changes in the surrounding environment and its own environment, analyzing, judging, and even making decisions and executing. It deeply integrates advanced manufacturing, digital and intelligent technologies to meet the development requirements of digitalization and informatization of the manufacturing industry. The overall development level of intelligent manufacturing equipment has become one of the main indicators for measuring the level of industrial modernization in my country.

[0003] However, in the actual production process, there are isolated production, delayed information transmission, chaotic management of design or process changes, lack of flexibility in production planning, lack of effective monitoring of production progress and large amounts of work-in-progress inventory, which leads to low enterprise efficiency, long production cycle, and failure to deliver on time. Summary of the invention

[0004] The purpose of the present invention is to provide an optimized production method and system for an equipment manufacturing workshop based on a value stream map, so as to solve the problems mentioned in the above background technology.

[0005] To achieve the above object, the present invention provides an optimized production method for an equipment manufacturing workshop based on a value stream map, comprising the following steps:

[0006] S1. Analyze the current status and existing problems of intelligent manufacturing equipment workshops;

[0007] S2. Draw a value stream status map of the intelligent manufacturing equipment workshop, and analyze the production management issues of the intelligent manufacturing equipment workshop based on the value stream status map;

[0008] S3. Generate adjustment suggestions based on the problems in S1 and S2.

[0009] Preferably, S1 is as follows:

[0010] S11. Collect production information of the enterprise where the intelligent manufacturing equipment workshop is located, including order requirements, material procurement, product inventory quantity, maximum warehouse storage, product production cycle and delivery rate, and store it in a preset database;

[0011] S12. Determine the workshop with the lowest delivery rate within the specified time based on S11.

[0012] Preferably, S2 is as follows:

[0013] S21. Determine the analysis topic of the workshop with the lowest delivery rate, and retrieve relevant topic information in the database according to the analysis topic;

[0014] S22, performing data analysis on relevant subject information to obtain analysis results;

[0015] S23. Based on the analysis results, determine the pre-adjusted production process in the production process of the workshop with the lowest delivery rate, determine the target production process after the pre-adjusted production process is adjusted, and perform corresponding management.

[0016] Preferably, S22 includes determining standard indicators according to the analysis subject and selecting an appropriate analysis method according to the standard indicators.

[0017] Preferably, the appropriate analysis method is selected as follows:

[0018] Obtaining analysis record data of the corresponding analysis topic from a preset big data sharing platform;

[0019] Extracting multiple analysis semantics from the analysis record data, and sorting the analysis semantics according to extraction positions of the analysis semantics in the analysis record data, to obtain an analysis semantic sorting group;

[0020] Determine the key semantics of the analysis behavior in the analysis semantic sorting group according to the analysis semantics in the analysis semantic sorting group;

[0021] Obtain the analysis semantics of the analysis behavior key semantics within the preset semantic range before and after the corresponding analysis semantic sorting group, and use them together with the corresponding analysis behavior key semantics as the extraction corpus;

[0022] Extraction Extraction Analytical methods from the corpus.

[0023] Preferably, S23 is as follows:

[0024] According to the standard indicators, data of each production process in the workshop is collected and compared with the standard indicators, and the production processes that do not meet the standard indicators in the production process are obtained as pre-adjustment production processes;

[0025] Analyze the pre-adjusted production process according to the analysis record data in the preset big data sharing platform, find out the defects of the pre-adjusted production process, correct and verify them.

[0026] The optimized production system of equipment manufacturing workshop based on value stream mapping includes the following modules:

[0027] The collection module is used to collect production information of the enterprise where the intelligent manufacturing equipment workshop is located and the production data of the pre-adjustment process;

[0028] The retrieval module is used to obtain the analysis topic of the workshop with the lowest delivery rate and retrieve the relevant topic information in the database according to the analysis topic;

[0029] The analysis module determines the defects in the pre-adjustment process based on the analysis results and standard indicators;

[0030] The management module generates lean suggestions based on defects for reference.

[0031] Therefore, the present invention adopts the above-mentioned optimization production method of the equipment manufacturing workshop based on the value stream map, which has the following beneficial effects:

[0032] (1) Analyze the problems in the workshop more clearly based on the value stream map;

[0033] (2) Analyze the process steps within the workshop, accurately identify problematic process steps and make corrections, effectively improving work efficiency.

[0034] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 is a schematic diagram of a flow chart of an embodiment of the present invention;

[0036] Figure 2 It is a flow chart of selecting an analysis method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0037] Example

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] Reference Figure 1 The present invention discloses an optimized production method for an equipment manufacturing workshop based on a value stream map, comprising the following steps:

[0040] S1. Analyze the current status and existing problems of intelligent manufacturing equipment workshops;

[0041] S11. Collect production information of the enterprise where the intelligent manufacturing equipment workshop is located, including order demand, material procurement, product inventory quantity, maximum warehouse storage, product production cycle and delivery rate, and store it in a preset database; set upper limits and warning lines based on the collected data, such as the warning line of product inventory quantity and the upper limit of product quantity;

[0042] S12. Determine the workshop with the lowest delivery rate within the specified time based on S11.

[0043] S2. Draw a value stream status map of the intelligent manufacturing equipment workshop, and analyze the production management issues of the intelligent manufacturing equipment workshop based on the value stream status map;

[0044] S21. Determine the analysis topic of the workshop with the lowest delivery rate, and retrieve relevant topic information in the database according to the analysis topic;

[0045] S22. Conduct data analysis on relevant subject information to obtain analysis results, including determining standard indicators based on the analysis subject and selecting appropriate analysis methods based on the standard indicators.

[0046] like Figure 2 , select the appropriate analysis method as follows:

[0047] Obtaining analysis record data of the corresponding analysis topic from a preset big data sharing platform;

[0048] Extracting multiple analysis semantics from the analysis record data, and sorting the analysis semantics according to extraction positions of the analysis semantics in the analysis record data, to obtain an analysis semantic sorting group;

[0049] Determine the key semantics of the analysis behavior in the analysis semantic sorting group according to the analysis semantics in the analysis semantic sorting group;

[0050] Obtain the analysis semantics of the analysis behavior key semantics within the preset semantic range before and after the corresponding analysis semantic sorting group, and use them together with the corresponding analysis behavior key semantics as the extraction corpus;

[0051] Extraction Extraction Analytical methods from the corpus.

[0052] S23. Based on the analysis results, determine the pre-adjusted production process in the production process of the workshop with the lowest delivery rate, determine the target production process after the pre-adjusted production process is adjusted, and perform corresponding management.

[0053] According to the standard indicators, data of each production process in the workshop is collected and compared with the standard indicators, and the production processes that do not meet the standard indicators in the production process are obtained as pre-adjustment production processes;

[0054] Analyze the pre-adjusted production process according to the analysis record data in the preset big data sharing platform, find out the defects of the pre-adjusted production process, correct and verify them.

[0055] S3. Generate adjustment suggestions based on the problems in S1 and S2.

[0056] The optimized production system of equipment manufacturing workshop based on value stream mapping includes the following modules:

[0057] The collection module is used to collect production information of the enterprise where the intelligent manufacturing equipment workshop is located and the production data of the pre-adjustment process;

[0058] The retrieval module is used to obtain the analysis topic of the workshop with the lowest delivery rate and retrieve the relevant topic information in the database according to the analysis topic;

[0059] The analysis module determines the defects in the pre-adjustment process based on the analysis results and standard indicators;

[0060] The management module generates lean suggestions based on defects for reference.

[0061] Therefore, the present invention adopts the above-mentioned value stream map-based equipment manufacturing workshop optimization production method and system to reduce the waste analyzed by the value stream map, effectively control the delivery period, and improve the on-time delivery rate.

[0062] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solution of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the present invention.

Claims

1. An optimized production method for an equipment manufacturing workshop based on a value stream map, characterized in that: The following steps are involved: S1. Analyze the current status and existing problems of intelligent manufacturing equipment workshops; S2. Draw a value stream status map of the intelligent manufacturing equipment workshop, and analyze the production management issues of the intelligent manufacturing equipment workshop based on the value stream status map; S3. Generate adjustment suggestions based on the problems in S1 and S2.

2. The optimized production method of equipment manufacturing workshop based on value stream mapping according to claim 1 is characterized in that: S1 is as follows: S11. Collect production information of the enterprise where the intelligent manufacturing equipment workshop is located, including order requirements, material procurement, product inventory quantity, maximum warehouse storage, product production cycle and delivery rate, and store it in a preset database; S12. Determine the workshop with the lowest delivery rate within the specified time based on S11.

3. The optimized production method of equipment manufacturing workshop based on value stream mapping according to claim 1 is characterized in that: S2 is as follows: S21. Determine the analysis topic of the workshop with the lowest delivery rate, and retrieve relevant topic information in the database according to the analysis topic; S22, performing data analysis on relevant subject information to obtain analysis results; S23. Based on the analysis results, determine the pre-adjusted production process in the production process of the workshop with the lowest delivery rate, determine the target production process after the pre-adjusted production process is adjusted, and perform corresponding management.

4. The method for optimizing production of equipment manufacturing workshops based on value stream mapping according to claim 3 is characterized in that: S22 includes determining standard indicators according to the analysis subject and selecting appropriate analysis methods according to the standard indicators.

5. The optimized production method of equipment manufacturing workshop based on value stream mapping according to claim 4 is characterized in that: Select the appropriate analysis method as follows: Obtaining analysis record data of the corresponding analysis topic from a preset big data sharing platform; Extracting multiple analysis semantics from the analysis record data, and sorting the analysis semantics according to extraction positions of the analysis semantics in the analysis record data, to obtain an analysis semantic sorting group; Determine the key semantics of the analysis behavior in the analysis semantic sorting group according to the analysis semantics in the analysis semantic sorting group; Obtain the analysis semantics of the analysis behavior key semantics within the preset semantic range before and after the corresponding analysis semantic sorting group, and use them together with the corresponding analysis behavior key semantics as the extraction corpus; Extract analytical methods from the extractive corpus.

6. The optimized production method of equipment manufacturing workshop based on value stream mapping according to claim 5 is characterized in that: S23 is as follows: According to the standard indicators, data of each production process in the workshop is collected and compared with the standard indicators, and the production processes that do not meet the standard indicators in the production process are obtained as pre-adjustment production processes; Analyze the pre-adjusted production process according to the analysis record data in the preset big data sharing platform, find out the defects of the pre-adjusted production process, correct and verify them.

7. A system for optimizing production method of equipment manufacturing workshop based on value stream map according to any one of claims 1 to 6, characterized in that: Includes the following modules: The collection module is used to collect production information of the enterprise where the intelligent manufacturing equipment workshop is located and the production data of the pre-adjustment process; The retrieval module is used to obtain the analysis topic of the workshop with the lowest delivery rate and retrieve the relevant topic information in the database according to the analysis topic; The analysis module determines the defects in the pre-adjustment process based on the analysis results and standard indicators; The management module generates lean suggestions based on defects for reference.

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