Abstract

In this paper, we consider the disassembly-to-order (DTO) problem where a variety of returned end-of-life (EOL) products are disassembled in order to satisfy the demand for specified numbers of components. However, a lot of uncertainties exist in the disassembly process that further complicates the process. A DTO model has been developed that takes into consideration the different system uncertainties and variability. The DTO model was solved in multiple periods using dynamic programming (DP). The main objective was to determine optimal number of takeback EOL products in every period from each supplier to fulfill the demand of components while maximizing total profit of the system. A numerical example is considered to illustrate the model approach.

Notes

Originally published in the Proceedings of the 2009 Northeast Decision Sciences Institute Conference, Uncasville, CT, April 1-3, 2009 (CD-ROM)

Keywords

end-of-life processing, disassembly-to-order, dynamic programming

Disciplines

Industrial Engineering | Mechanical Engineering

Publisher

Northeast Decision Sciences Institute

Publication Date

2009

Rights Information

Copyright 2009, Surendra M. Gupta

Rights Holder

Surendra M. Gupta

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