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.
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
Permanent URL
Recommended Citation
Gupta, Surendra M. and Imtanavanich, Prasit, "Generating a disassembly-to-order plan" (2007). . Paper 58. http://hdl.handle.net/2047/d10013544
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Notes
Originally published in Proceedings of the 2007 Northeast Decision Sciences Institute Conference,Baltimore, Maryland, pp. 462-467, March 28-March 30, 2007