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.

Notes

Originally published in Proceedings of the SPIE International Conference on Environmentally Conscious Manufacturing III

Keywords

Cost effectiveness, Supply and demand, Fuzzy sets

Subject Categories

Reverse engineering

Disciplines

Engineering

Publisher

SPIE

Publication Date

2003

Rights Information

Copyright Society for Photo-Optical Instrumentation Engineers

Restrictions

Made available as an electronic reprint with permission of SPIE.

Rights Holder

Society for Photo-Optical Instrumentation Engineers



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