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

Abstract

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.

Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art

“…Jun et al (2007) develop a multi objective evolutionary algorithm to select the best EOL options of parts for maximizing the recovery value of an EOL product including recovery cost and quality. Fernandez et al (2008) develop a fuzzy approach to evaluate five recovery options and one disposal option by considering four criteria: product value, recovery value, useful life and level of sophistication. Wadhwa et al (2009) propose a FLbased MCDM methodology to consider the knowledge of experts (evaluators or sortation specialists) in the selection of most appropriate alternative(s) for product reprocessing with respect to existing criteria.…”

An Axiomatic Design Approach to the Classification of Reverse Logistics Network Design Studies Under Fuzziness

“…Fernández et al (2008) proposed a fuzzy decision support system to analyze recovery policies suggested by different researchers for different products. Pochampally and Gupta (2012) addressed the best recovery policy determination problem with the selection of collection centers.…”

Evaluating the Performance of Recoverable End-of-life Products in the Reverse Supply Chain

“…Much research has been done on identifying the critical factors for determining the performance of recoverable end-of-life products in an organization. 4,[11][12][13][14][15][16][17][18][19][20] . Du et al 4 Ziout et al 15 show that the effectiveness of recoverable end-of-life products is determined by the environmental, the societal, and the corporate intangible benefits.…”