Complex process module division method for large-scale customization

A process module and large-scale technology, applied in database models, structured data retrieval, resources, etc., can solve problems such as inapplicable process modules and failure to integrate individual needs, and achieve the effect of perfect process, precise control, and tight logic

Active Publication Date: 2019-10-18
HENAN UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] At present, the modular design method has been widely used in the product family system module division, but the existing division method is more concerned with th

Method used

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  • Complex process module division method for large-scale customization
  • Complex process module division method for large-scale customization
  • Complex process module division method for large-scale customization

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Embodiment Construction

[0041] Specific examples are given below to further describe the technical solution of the present invention in a clear, complete and detailed manner. This embodiment is the best embodiment on the premise of the technical solution of the present invention, but the protection scope of the present invention is not limited to the following embodiments.

[0042] A method for dividing complex process modules for mass customization, comprising the following steps:

[0043] S1: The module characteristic attribute is established by the modular mapping mechanism, and the correlation between the process modules is established by the attribute, and the correlation is described as replaceable correlation and influence correlation;

[0044] S2: The degree of interrelationship between process modules is related to the replaceability characteristics and influence degree correlation, and is expressed by the mathematical model of fuzzy correlation matrix R: R=ω f F+ω p P;

[0045] S3: Using...

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Abstract

The invention discloses a complex process module division method for large-scale customization. The complex process module division method includes the steps: based on the characteristic relationshipbetween the processes corresponding to a workpiece, providing a method for dividing a model on the process level; constructing a fuzzy incidence matrix between process modules; converting and solvingthe fuzzy incidence matrix by using a fuzzy clustering analysis method, and obtaining a transfer closure matrix; and forming a module clustering graph according to different partition threshold sequences, obtaining different module division schemes by selecting different lambda values. The complex process module division method is tight in logic, and is accurate and efficient in control, thus rapidly and efficiently producing personalized finished products adapting to market and technology changes, and improving the high-level requirements of the process.

Description

technical field [0001] The invention belongs to the technical field of complex process planning and relates to a complex process module division method for mass customization. Background technique [0002] At present, the rapid development of the economy and the continuous advancement of technology have prompted the personalized customization process to gradually win the favor of the economic market. Providing customized services to customers and comprehensively improving customer satisfaction has become a trend in the competition among modern enterprises. [0003] The mass customization production method combines the advantages of customized production and mass production. While meeting the individual needs of customers, it can also ensure the completion of production tasks at low cost and within a short production cycle. With its unique advantages, it has attracted widespread attention from manufacturing companies focus on. One of the core technologies of mass customizati...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06Q10/06G06F16/28G06F16/2458
CPCG06Q30/0621G06Q10/0633G06F16/2468G06F16/285
Inventor 范波宋晓明付主木许惠
Owner HENAN UNIV OF SCI & TECH
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