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Identification of Influential Modules Considering Design Change Impacts Based on Parallel Breadth-First Search and

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Summary

This study introduces a framework to analyze change impacts in modular product design. It identifies influential modules by exploring change propagation paths and measuring impact degrees.

Keywords:
change impact degreeengineering changeinfluential modulemodular productparallel breadth-first algorithm

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Area of Science:

  • Engineering
  • Product Design
  • Systems Engineering

Background:

  • Modular design is prevalent for meeting diverse customer needs.
  • Interdependencies within modules and between modules can lead to cascading changes.
  • Analyzing these change impacts is crucial for effective modular product development.

Purpose of the Study:

  • To present an approach for analyzing associations and change impacts between modules.
  • To identify influential modules in modular product design.
  • To quantify the degree of change impact propagation.

Main Methods:

  • Utilizing Design Structure Matrix (DSM) to represent part dependencies.
  • Constructing change propagation trees (CPPs) and reachable matrices.
  • Employing a parallel breadth-first search algorithm and the bat algorithm for path analysis and impact assessment.

Main Results:

  • The framework effectively explores all possible change propagation paths.
  • It quantifies change impact degrees between modules.
  • Influential modules are identified based on comprehensive impact scores.

Conclusions:

  • The proposed framework provides a systematic method for understanding and managing design change impacts in modular products.
  • Identifying influential modules aids in optimizing design processes and mitigating risks.
  • The case study demonstrates the practical application and effectiveness of the approach.