著者

Surendra M. GUPTA Prasit IMTANAVANICH

出版者

バイオメディカル・ファジィ・システム学会

雑誌

International Journal of Biomedical Soft Computing and Human Sciences: the official journal of the Biomedical Fuzzy Systems Association (ISSN:21852421)

巻号頁・発行日

vol.15, no.1, pp.71-76, 2010 (Released:2017-09-04)

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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.