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Operation of the Collaborative Composite Manufacturing CCM System
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A simple method and case study of task planning for collaborative design based on FDSM.

Beihai Wang1, Jieqing Lei1, Zean Wang1

  • 1College of Mechanical Engineering, Wuhan Polytechnic University, Wuhan, 430023, China.

Heliyon
|December 6, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a fuzzy design structure matrix (FDSM) method for efficient collaborative mechanical design task planning. It optimizes task allocation, reducing complexity and rework in teams relying on experience.

Keywords:
Collaborative designFuzzy design structure matrix (FDSM)Riveting-machine design for capacitor cover plateTask planning

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Area of Science:

  • Mechanical Engineering
  • Operations Research
  • Product Design

Background:

  • Unreasonable task allocation in collaborative mechanical design leads to task coupling, communication complexity, and rework.
  • Small enterprises and experience-reliant teams are particularly susceptible to these inefficiencies.

Purpose of the Study:

  • To propose a simple and efficient task-planning method for multiperson collaborative mechanical product design.
  • To address issues of excessive task coupling and rework through optimized task allocation.

Main Methods:

  • Utilized a fuzzy design structure matrix (FDSM) for task planning.
  • Employed single-level task decomposition and a three-level numerical assignment for coupling relationships.
  • Applied a structural tree algorithm for decoupling and G-value for validation.

Main Results:

  • Developed an optimized sequence and allocation for collaborative design tasks.
  • Quantified task-correlation degrees using personal experience-based numerical values.
  • Validated the method's effectiveness by measuring matrix tightness before and after planning.

Conclusions:

  • The proposed FDSM-based method provides a simple and efficient approach to collaborative mechanical design task planning.
  • The method effectively optimizes task allocation, reduces design complexity, and minimizes rework.
  • Demonstrated practical applicability through a riveting machine design case study.