A GA based task grouping for top-down collaborative assembly design

  • Authors:

  • Youdong Yang;Shuting Zhang;Zhihua Li;Shuming Gao

  • Affiliations:

  • State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China and Zhijing College, Zhejiang University of Technology, Hangzhou, China;State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China;State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China;State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China

  • Venue:
  • CSCWD'06 Proceedings of the 10th international conference on Computer supported cooperative work in design III
  • Year:
  • 2006

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Abstract

The top-down collaborative assembly design process of a product is highly concurrent and tightly coupled. Rational task planning significantly affects cycle time and efficiency of the product design. Task grouping is one of the key issues of task planning and it is discussed for top-down collaborative assembly design. An improved genetic algorithm (GA) for the task grouping is developed according to two principles: (1) the workload should be equilibrium among the design teams; (2) the tasks with high coupling relationships should be grouped into the same task group. As a case study, top-down collaborative assembly design of the shaper is demonstrated and the result illustrates the effectiveness of the proposed algorithm.