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Proceedings Paper

A fuzzy cost-benefit function to select economical products for processing in a closed-loop supply chain
Author(s): Kishore K. Pochampally; Surendra M. Gupta; Thomas P. Cullinane
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Paper Abstract

The cost-benefit analysis of data associated with re-processing of used products often involves the uncertainty feature of cash-flow modeling. The data is not objective because of uncertainties in supply, quality and disassembly times of used products. Hence, decision-makers must rely on “fuzzy” data for analysis. The same parties that are involved in the forward supply chain often carry out the collection and re-processing of used products. It is therefore important that the cost-benefit analysis takes the data of both new products and used products into account. In this paper, a fuzzy cost-benefit function is proposed that is used to perform a multi-criteria economic analysis to select the most economical products to process in a closed-loop supply chain. Application of the function is detailed through an illustrative example.

Paper Details

Date Published: 27 February 2004
PDF: 10 pages
Proc. SPIE 5262, Environmentally Conscious Manufacturing III, (27 February 2004); doi: 10.1117/12.516189
Show Author Affiliations
Kishore K. Pochampally, Northeastern Univ. (United States)
Surendra M. Gupta, Northeastern Univ. (United States)
Thomas P. Cullinane, Northeastern Univ. (United States)

Published in SPIE Proceedings Vol. 5262:
Environmentally Conscious Manufacturing III
Surendra M. Gupta, Editor(s)

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