11 February 2002 Reverse production system design for recycling under uncertainty
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Proceedings Volume 4569, Environmentally Conscious Manufacturing II; (2002) https://doi.org/10.1117/12.455278
Event: Intelligent Systems and Advanced Manufacturing, 2001, Boston, MA, United States
Abstract
Our research has focused on the development of mathematical programming tools to support infrastructure decision-making for reverse production systems. In this paper we present a robust framework for strategic decision-making in recycling systems when uncertainty greatly affects the outcomes of the decisions. Parametric uncertainty is described by ranges on costs, prices and volumes. The maximum regret is defined as the deviation of the profit of the chosen design from the optimal profit of the best design under a particular realization of the parameters. The robust metric used is to minimize the maximum regret. This problem structure extends our earlier work on robust reverse production system design where a finite set of scenarios was proposed to capture the uncertainty. We develop a solution methodology using an upper and lower-bounding scheme on the robust objective function. The application of the approach is illustrated using a case study from the electronics industry.
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Jane Ammons, Jane Ammons, Tiravat Assavapokee, Tiravat Assavapokee, David Newton, David Newton, Matthew J. Realff, Matthew J. Realff, } "Reverse production system design for recycling under uncertainty", Proc. SPIE 4569, Environmentally Conscious Manufacturing II, (11 February 2002); doi: 10.1117/12.455278; https://doi.org/10.1117/12.455278
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