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Proceedings Paper

Evolutionary computation with linear physical programming for solving a disassembly-to-order system
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Paper Abstract

We solve the disassembly-to-order (DTO) problem by using Evolutionary Computation. DTO is a system where a variety of returned products are disassembled to fulfill the demand for specified numbers of components and materials. The main objective is to determine the optimal number of take-back EOL products for the DTO system which satisfy the desirable criteria of the system. One of the most widely used forms of Evolutionary Computation is Genetic Algorithm (GA). GA, which has the capability to improve a set of solutions over evolutionary steps, is used to generate optimal number of take-back EOL products. Moreover, linear physical programming (LPP), which has key features to entirely remove the decision maker (DM) from the process of choosing weights and to handle the vagueness of aspiration levels, is used to calculate fitness values in the GA process. A numerical example is considered to illustrate the methodology.

Paper Details

Date Published: 9 October 2006
PDF: 12 pages
Proc. SPIE 6385, Environmentally Conscious Manufacturing VI, 638504 (9 October 2006); doi: 10.1117/12.686269
Show Author Affiliations
Prasit Imtanavanich, Northeastern Univ. (United States)
Surendra M. Gupta, Northeastern Univ. (United States)

Published in SPIE Proceedings Vol. 6385:
Environmentally Conscious Manufacturing VI
Surendra M. Gupta, Editor(s)

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