Abstract

The main objective of this research is to effectively solve a disassembly-to-order (DTO) problem. DTO is a system where a variety of returned products are disassembled to fulfill the demand for specified numbers of components and materials. Therefore, the optimal DTO plan must be generated in order to satisfy all demands, as well as to maximize profit and minimize costs of the system. Techniques implemented to solve the problem are Genetic Algorithm (GA), Linear Physical Programming (LPP) and refining algorithm. In this paper, we describe how GA and LPP techniques together with a refining algorithm can be combined to solve for the optimal numbers of take-back products. A numerical example is considered to illustrate the methodology.

Notes

Originally published in Proceedings of the 2007 Northeast Decision Sciences Institute Conference,Baltimore, Maryland, pp. 462-467, March 28-March 30, 2007

Keywords

Disassembly-to-order (DTO), disassembly, Linear physical programming (LPP), End of life products

Subject Categories

Production engineering

Disciplines

Engineering

Publisher

Omnipress

Publication Date

2007

Rights Information

Copyright 2007, Surendra M. Gupta

Rights Holder

Gupta M. Surendra



Click button above to open, or right-click to save.

Included in

Engineering Commons

Share

COinS