Supply chainmanagement is an increasingly important organizational concern, and proper evaluation of suppliers constitutes one essential element of supply chain success. Continuous evaluation of a particular supplier becomesmore important considering the fact that in most industries the cost of raw materials and component parts constitutes the main cost of a product, such that in some cases it can account for up to 70%. However, there is little research that has helped organizations in continuous evaluation of their suppliers. We propose a newmodel based on fuzzy logic to handle the various attributes associated with supplier evaluation problems. Four multi-input single-output (MISO) Mamdani fuzzy inference systems have been proposed for supplier evaluation. The proposed model has also been illustrated through a case study. © 2013 Elsevier Ltd. All rights reserved.