International Journal of Biomedical Soft Computing and Human Sciences: the official journal of the Biomedical Fuzzy Systems Association
Online ISSN : 2424-256X
Print ISSN : 2185-2421
ISSN-L : 2185-2421
Evolutionary Computational Approach for Disassembly Sequencing in a Multiproduct Environment(<Special Issue>TOTAL OPERATIONS MANAGEMENT)
Surendra M. GUPTAPrasit IMTANAVANICH
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ジャーナル オープンアクセス

2010 年 15 巻 1 号 p. 71-76

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When a product reaches its end-of-life (EOL), it can be reused, remanufactured, recycled or disposed of. Often, in most of these processes, a certain level of disassembly may be necessary to separate components and materials. Therefore, optimal disassembly sequences are important to increase the efficiency of the disassembly. Since the complexity of the disassembly sequencing problem dramatically increases with the increase in the number of products and component types, we propose an evolutionary computational approach to solve it. Specifically, we use Genetic Algorithm (GA) to solve the problem. A numerical example is considered to illustrate the use of this methodology.

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© 2010 Biomedical Fuzzy Systems Association
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