Abstract
In this paper, we concentrate on the disassembly-to-order (DTO) system, where end-of-life (EOL) products are taken back from last users to be disassembled to fulfill the demands for components and materials. The objective is to determine the number of EOL products that would be needed to maximize the profit and minimize the costs of the system. The conditions of EOL products are not always certain, which makes the problem difficult. We use a heuristic approach which transforms the stochastic disassembly yields into their deterministic equivalents and use a multi-criteria decision-making technique to solve the problem. In addition, we take the products' ages (and thus their deterioration) into account to determine their yield rates (e.g., older products tend to have lower yield rates for usable components) and generate the DTO plans for multiple periods. A numerical example is considered to illustrate the implementation of the approach.
Keywords
disassembly-to-order (DTO) system, end-of-life (EOL), heuristic approach, products
Subject Categories
Production engineering
Disciplines
Engineering
Publisher
SPIE
Publication Date
2005
Rights Information
Copyright Society for Photo-Optical Instrumentation Engineers
Restrictions
Made available as an electronic reprint with permission of SPIE.
Rights Holder
Society for Photo-Optical Instrumentation Engineers
Permanent URL
Recommended Citation
Gupta, Surendra M. and Imtanavanich, Prasit, "Multi-criteria decision making approach in multiple periods for a disassembly-to-order system under product's deterioration and stochastic yields" (2005). . Paper 75. http://hdl.handle.net/2047/d10010531
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Notes
Originally published in the Proceedings of the SPIE International Conference on Environmentally Conscious Manufacturing V, Boston, Massachusetts, pp. 10-21, October 23-24, 2005