An enhanced assembly planning approach using a multi-objective genetic algorithm

被引：32

作者：

Lu, C. ^{[1
]}

Wong, Y. S. ^{[1
]}

Fuh, J. Y. H. ^{[1
]}

机构：

[1] Natl Univ Singapore, Dept Mech Engn, Singapore 117576, Singapore

来源：

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE | 2006年 / 220卷 / 02期

关键词：

assembly planning; tolerance; clearance; assemblability; genetic algorithm; multi-objective;

D O I：

10.1243/09544054JEM359

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper proposes an assembly planning approach using a multi-objective genetic algorithm (GA). The influence of tolerance and clearance on product assemblability in different assembly sequences is considered and used as a constraint in assembly planning. For a more comprehensive search for feasible non-dominated solutions, this paper proposes a multi-objective genetic algorithm that establishes different fitness functions through a fuzzy weight distribution algorithm. It also considers the experience of the decision maker. The results of the case study are given to verify the proposed approach.

引用

页码：255 / 272

页数：18

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