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Product Module Network Modeling and Evolution Analysis.

Hu Qiao1, Zhaohui Xu1, Jiang He1

  • 1School of Mechatronic Engineering, Xi'an Technological University, Xi'an 710021, Shaanxi, China.

Computational Intelligence and Neuroscience
|April 9, 2019
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Summary
This summary is machine-generated.

This study introduces a complex network approach to manage product module complexity in mass customization. It uses brittleness risk entropy to identify and improve unstable module structures for better product design and manufacturing.

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Area of Science:

  • Engineering
  • Complex Systems Analysis
  • Manufacturing Systems

Background:

  • Mass customization presents challenges in managing product module complexity.
  • Existing methods struggle with the intricate structures arising from multi-batch, small-batch production.

Purpose of the Study:

  • To develop a novel method for analyzing and optimizing product module structures in mass customization.
  • To address the complexity issue inherent in modular product design and manufacturing.

Main Methods:

  • Mapping product modules as vertices in a complex network, with dependencies as edges.
  • Introducing brittleness risk entropy to assess module network stability and identify critical subsystems.
  • Utilizing a Barrat-Barthelemy-Vespignani (BBV) model for dynamic risk assessment and network evolution analysis.

Main Results:

  • A method to quantify the stability uncertainty of product module networks using brittleness risk entropy.
  • Identification of the most brittle subsystems within the product module network.
  • Demonstrated effectiveness of the proposed method in optimizing modularity structures, verified through a special vehicle case study.

Conclusions:

  • The complex network approach effectively manages product module complexity in mass customization.
  • Brittleness risk entropy provides a rational measure for evaluating module organizational structures.
  • The method enhances the evolution and stability of product module networks for improved manufacturing.