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A Method for Dividing Complex Process Modules Oriented to Mass Customization

A process module, large-scale technology, applied in the field of complex process module division, can solve the problems of not integrating individual requirements, inappropriate process modules, etc., to achieve the effect of perfect process, tight logic, and precise control

Active Publication Date: 2022-02-25
HENAN UNIV OF SCI & TECH
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  • Abstract
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  • Claims
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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 the general performance division of the product, and does not incorporate the idea of ​​individual needs, and is not suitable for creating complex products. Process module

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  • A Method for Dividing Complex Process Modules Oriented to Mass Customization
  • A Method for Dividing Complex Process Modules Oriented to Mass Customization
  • A Method for Dividing Complex Process Modules Oriented to Mass Customization

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[0037] 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.

[0038] A method for dividing complex process modules for mass customization, comprising the following steps:

[0039] 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;

[0040] 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;

[0041] S3: Using...

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Abstract

The invention discloses a method for dividing complex process modules oriented to mass customization, and proposes a method for dividing models at the process level by means of the characteristic relationship between processes corresponding to workpieces, by constructing a fuzzy correlation matrix between process modules , use the fuzzy clustering analysis method to convert and solve it, obtain the transitive closure matrix, form a module cluster diagram according to different partition threshold sequences, and obtain different module division schemes by selecting different λ values, with tight logic, precise control, and Efficient, in order to achieve fast and efficient production of personalized finished products that adapt to market and technological changes and high-level requirements for perfect craftsmanship.

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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Patent Type & Authority Patents(China)
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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