Paper
11 February 2002 Reverse production system design for recycling under uncertainty
Jane Ammons, Tiravat Assavapokee, David Newton, Matthew J. Realff
Author Affiliations +
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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jane Ammons, Tiravat Assavapokee, David Newton, and Matthew J. Realff "Reverse production system design for recycling under uncertainty", Proc. SPIE 4569, Environmentally Conscious Manufacturing II, (11 February 2002); https://doi.org/10.1117/12.455278
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Cited by 7 scholarly publications.
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KEYWORDS
Computer programming

Electronics

Manufacturing

Product engineering

Computing systems

CRTs

Stochastic processes

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