Abstract
This paper considers the disassembly-to-order (DTO) problem where end-of-life (EOL) products are purchased for disassembly in order to satisfy the demand for specified numbers of components. Previous work in the literature solved the DTO problem with multiple uncertainties under a single objective while others solved the multi-criteria model with a single uncertainty. This paper develop a multi-criteria DTO model that would takes into consideration multiple system uncertainties and variability. The multi-criteria DTO model was solved using preemptive goal programming (PGP). The main objective was to determine optimal number of take-back EOL products in every period from each supplier in order to satisfy the demand of components and materials while trying to achieve the aspiration levels of multiple goals. A numerical example is considered to illustrate the model approach.
Keywords
End-of-Life Processing, Disassembly-to-Order, Preemptive Goal Programming
Disciplines
Industrial Engineering | Mechanical Engineering
Publisher
Northeast Decision Sciences Institute
Publication Date
2010
Rights Information
Copyright 2010, Surendra M. Gupta
Rights Holder
Surendra M. Gupta
Permanent URL
Recommended Citation
Massoud, Amre Z. and Gupta, Surendra M., "Preemptive goal programming for solving the multi-criteria disassembly-to-order problem under stochastic yields, limited supply, and quantity discount" (2010). Mechanical and Industrial Engineering Faculty Publications. Paper 5. http://hdl.handle.net/2047/d20000253
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COinS
Notes
Originally published in the Proceedings of the 2010 Northeast Decision Sciences Institute Conference, Alexandria, Virginia, March 26-28, 2010 (CD-ROM)