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Proceedings Paper

Reverse production system design for recycling under uncertainty
Author(s): Jane Ammons; Tiravat Assavapokee; David Newton; Matthew J. Realff
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Paper 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.

Paper Details

Date Published: 11 February 2002
PDF: 12 pages
Proc. SPIE 4569, Environmentally Conscious Manufacturing II, (11 February 2002); doi: 10.1117/12.455278
Show Author Affiliations
Jane Ammons, Georgia Institute of Technology (United States)
Tiravat Assavapokee, Georgia Institute of Technology (United States)
David Newton, United Airlines (United States)
Matthew J. Realff, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 4569:
Environmentally Conscious Manufacturing II
Surendra M. Gupta, Editor(s)

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