Integrated planning for product module selection and assembly line design/reconfiguration

Integrated planning for product module selection and assembly line design/reconfiguration

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Article ID: iaor2007108
Country: United Kingdom
Volume: 44
Issue: 11
Start Page Number: 2091
End Page Number: 2117
Publication Date: Jan 2006
Journal: International Journal of Production Research
Authors: ,
Keywords: heuristics: genetic algorithms
Abstract:

To take full advantage of product modularity, modular product design and assembly system design/reconfiguration have to be simultaneously addressed. The emerging reconfigurable production and flexible assembly techniques have made such an integrated approach possible. As such, this paper proposes an integrated approach to product module selection and assembly line design/reconfiguration problems. It further suggests that quality loss functions be used in a generic sense to quantify non-comparable and possibly conflicting performance criteria involved in the integrated problem. The complexity of the problem precludes the use of commercial software for solving meaningful sized problems in polynomial time. A genetic algorithm is therefore developed to provide quick solutions. An example problem is solved to illustrate the application of the proposed approach. Based on 72 randomly generated test problems, ANOVA analysis is further carried out to investigate the effects of genetic algorithm parameters. The convergence behaviour of the search processes is also examined by solving large problems with different numbers of operations and product modules.

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