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A Decision-Making Support System on a Products Recovery Management Framework. A Fuzzy Approach

Superior Polytechnical School of Engineering, Department of Bussiness Administration University of Oviedo, Campus Viesques s/n, 33204 Gijón, Asturias, Spain, ifq{at}uniovi.es

Javier Puente

Superior Polytechnical School of Engineering, Department of Bussiness Administration University of Oviedo, Campus Viesques s/n, 33204 Gijón, Asturias, Spain

Nazario García

Superior Polytechnical School of Engineering, Department of Bussiness Administration University of Oviedo, Campus Viesques s/n, 33204 Gijón, Asturias, Spain

Alberto Gómez

Superior Polytechnical School of Engineering, Department of Bussiness Administration University of Oviedo, Campus Viesques s/n, 33204 Gijón, Asturias, Spain

The considerable amount of uncertainty involved in defining the factors that affect reverse logistics (RL) decision-making and the complex interrelationships between those factors make it rather difficult to decide what recovery policy a business should pursue. This article proposes a fuzzy system that helps in such decision-making and thereby mitigates these difficulties. The knowledge related to the decision is incorporated into the system by means of conditional rules, which serve to provide the ideal recovery policy for each particular case. The model proposed is applied to the analysis of a number of examples and proves to be a versatile tool that provides coherent results. These characteristics could be of critical importance especially in the point of entry into the RL pipeline and in the centralized return centres.

Key Words: fuzzy decision support system • reverse logistics • recovery options.

Concurrent Engineering, Vol. 16, No. 2, 129-138 (2008)
DOI: 10.1177/1063293X08092486


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