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Research in Engineering Design

05.03.2024 | Original Paper

Module partition for complex products based on stable overlapping community detection and overlapping component allocation

verfasst von: Zhenyu Liu, Pengcheng Zhong, Hui Liu, Weiqiang Jia, Guodong Sa, Jianrong Tan

Erschienen in: Research in Engineering Design

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Abstract

The rationality of product module partition is crucial to the success of modular design. The correlations between components of complex products are complex, increasing the difficulty of module partition. Thus, many existing methods of module partition have difficulty realizing this process effectively for complex products with a large number of components. This paper proposes a module partition method for complex products based on stable overlapping community detection and overlapping component allocation. The correlations between components are analyzed to obtain a comprehensive correlation strength matrix. The undirected weighted network is used to represent components and the correlations between them. A stable overlapping community detection algorithm based on the improved judgement of within-community Shapley values is proposed to generate multiple preliminary schemes of module partition. Overlapping components among modules are allocated to the most suitable modules by adopting a genetic algorithm (GA). The scheme with the largest modularity measure Q is selected as the final scheme of module partition. The proposed method is applied to a computer numerical control (CNC) grinding machine. The proposed module partition method for complex products is demonstrated to be superior to other effective methods.

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Titel: Module partition for complex products based on stable overlapping community detection and overlapping component allocation
verfasst von: Zhenyu Liu
Pengcheng Zhong
Hui Liu
Weiqiang Jia
Guodong Sa
Jianrong Tan
Publikationsdatum: 05.03.2024
Verlag: Springer London
Erschienen in: Research in Engineering Design
Print ISSN: 0934-9839
Elektronische ISSN: 1435-6066
DOI: https://doi.org/10.1007/s00163-024-00432-y

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