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.
Cost effectiveness, Supply and demand, Fuzzy sets
Copyright Society for Photo-Optical Instrumentation Engineers
Made available as an electronic reprint with permission of SPIE.
Society for Photo-Optical Instrumentation Engineers
Pochampally, Kishore K.; Gupta, Surendra M.; and Cullinane, Thomas P., "A fuzzy cost-benefit function to select economical products for processing in a closed-loop supply chain" (2003). . Paper 4. http://hdl.handle.net/2047/d1000323x
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