Evolutionary Computational Approach for Disassembly Sequencing in a Multiproduct Environment(<Special Issue>TOTAL OPERATIONS MANAGEMENT)

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概要

• 論文の詳細を見る

• 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.

• バイオメディカル・ファジィ・システム学会の論文

著者

• Gupta Surendra

  Laboratory For Responsible Manufacturing 334 Sn Department Of Mie Northeastern University

• IMTANAVANICH Prasit

  Laboratory for Responsible Manufacturing, Department of MIE, Northeastern University

関連論文

• Approaches for strategic planning of a reverse supply chain (特集 次世代生産システム)
• Using Neural Networks to Solve a Disassembly-to-Order Problem(TOTAL OPERATIONS MANAGEMENT)
• Evolutionary Computational Approach for Disassembly Sequencing in a Multiproduct Environment(TOTAL OPERATIONS MANAGEMENT)

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