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

被引：0

作者：

Yang, Youdong ^{[1
,2
]}

Zhang, Shuting ^{[1
]}

Li, Zhihua ^{[1
]}

Gao, Shuming ^{[1
]}

机构：

[1] Zhejiang Univ, State Key Lab CAD&CG, Hangzhou 310027, Peoples R China

[2] Zhejiang Univ Technol, Zhijing Coll, Hangzhou 310024, Peoples R China

来源：

COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN III | 2007年 / 4402卷

关键词：

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：409 / +

页数：3

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