A fuzzy cost-benefit function to select economical products for processing in a closed-loop supply chain
Originally published in Proceedings of the SPIE International Conference on Environmentally Conscious Manufacturing III
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.
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" (2003).
Available at: http://works.bepress.com/tcullinane/1