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.
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
Permanent URL
Recommended Citation
Massoud, Amre Z. and Gupta, Surendra M., "Dynamic programming for solving disassembly-to-order system under stochastic yields, limited supply, and quantity discount" (2009). Mechanical and Industrial Engineering Faculty Publications. Paper 7. http://hdl.handle.net/2047/d20000255
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Notes
Originally published in the Proceedings of the 2009 Northeast Decision Sciences Institute Conference, Uncasville, CT, April 1-3, 2009 (CD-ROM)