A fuzzy cost-benefit function to select economical products for processing in a closed-loop supply chain

Kishore K. Pochampally; Surendra M. Gupta; Thomas P. Cullinane

doi:10.1117/12.516189

27 February 2004 A fuzzy cost-benefit function to select economical products for processing in a closed-loop supply chain

Kishore K. Pochampally, Surendra M. Gupta, Thomas P. Cullinane

Author Affiliations +

Proceedings Volume 5262, Environmentally Conscious Manufacturing III; (2004) https://doi.org/10.1117/12.516189
Event: Photonics Technologies for Robotics, Automation, and Manufacturing, 2003, Providence, RI, United States

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.

Citation Download Citation

Kishore K. Pochampally, Surendra M. Gupta, and Thomas P. Cullinane "A fuzzy cost-benefit function to select economical products for processing in a closed-loop supply chain", Proc. SPIE 5262, Environmentally Conscious Manufacturing III, (27 February 2004); https://doi.org/10.1117/12.516189

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