Integrating product modularization and assembly line reconfiguration decisions: a genetic algorithm approach

Authors:
Zhonghui Xu;Ming Liang
Affiliations:
Department of Mechanical Engineering, University of Ottawa, Ottawa, Ontario, Canada;Department of Mechanical Engineering, University of Ottawa, Ottawa, Ontario, Canada
Venue:
MS'06 Proceedings of the 17th IASTED international conference on Modelling and simulation
Year:
2006

Citing 2
Cited 0

Designing an assembly line for modular products

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Abstract

To avoid conflicting decisions in modular product design and assembly system reconfiguration, the two issues have to be addressed jointly. In this paper, the integrated problem is formulated as a non-linear integer model. The quality loss function (QLF) is used to quantify non-comensurable and conflicting objectives. Several evaluation metrics in both design and manufacturing are incorporated into the model. The integrated nature of the problem leads to NP-hard complexity of the model. A genetic algorithm (GA) is therefore developed to provide near optimal solutions. The GA has been applied to a modular product.