Abstract

In this paper, we consider the disassembly-to-order (DTO) problem, where a variety of returned products are disassembled to fulfill the demand for specified numbers of components and materials. The objective is to determine the optimal numbers of returned products to disassemble so as to maximize profit and minimize costs. We model the DTO problem using a multi-criteria decision making approach. Since the condition of returned products are unknown, the yields from disassembly are considered to be stochastic. To solve the stochastic problem, we use one of two heuristic approaches (viz., one-to-one approach or one-to-many approach) that convert the problem into a deterministic equivalent. We compare the performance of the two heuristic approaches using a case example.

Notes

Originally published in the Proceedings of the 2005 Northeast Decision Sciences Institute Conference, Philadelphia, Pennsylvania, March 30-April 1, 2005 (CD-ROM)

Keywords

End of life products, Disassembly-to-order (DTO)

Subject Categories

Recycling (Waste (etc.))

Disciplines

Engineering

Publisher

Omnipress

Publication Date

2005

Rights Information

Copyright 2005, Surendra M. Gupta

Rights Holder

Gupta M. Surendra



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