Evaluation of a supply chain performance using a Fuzzy Decision Support System

Abstract

This paper presents the application of a Fuzzy Decision Support System (FDSS) model designed to assist managers in their decision process related with the choice of the best alternative to face Supply Chain (SC)disturbances. The FDSS operates supported on two main pillars, one is the use of Fuzzy Set Theory to model the uncertainty associated with disturbance occurrences, their effects on the SC and the computation of a Performance Index; the other is the use of ARENA (commercial simulation tool) to study the behavior of a SC subject to disturbances, and the effects of the implementation of mitigation or contingency plans designed to counter such disturbances. Using this FDSS, the decision maker can choose which the best solution is for his company considering not only his company's characteristics, but also the characteristics of the other SC entities.

Application of fuzzy logic in performance management: a literature review

“…Serna et al (2008) study the mathematical models that use the principles of fuzzy logic to measure supply chain performance in uncertainty environments and then, they are applied to a set of bakeries. Nunes et al (2011) use a model of fuzzy system for aiding decision-making in order to choose the better alternatives to deal with supply chain disturbances. Ganga & Carpinetti (2011) propose a model of performance measurement based on fuzzy logic to predict performance with respect to causal relations that exist among indicators of the SCOR model.…”