Computers and Industrial Engineering
Using the analytic network process (ANP) in a SWOT analysis - A case study for a textile firm
Information Sciences: an International Journal
An intelligent approach to machine tool selection through fuzzy analytic network process
Journal of Intelligent Manufacturing
A hybrid MCDM model for strategic vendor selection
Mathematical and Computer Modelling: An International Journal
Journal of Intelligent Manufacturing
A fuzzy ANP model for supplier selection as applied to IC packaging
Journal of Intelligent Manufacturing
Journal of Intelligent Manufacturing
Expert Systems with Applications: An International Journal
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In order to ensure the uninterrupted supply of items, the suppliers' performance needs to be evaluated periodically. The evaluation process typically consists of identifying the attributes and criteria relevant to the decision, and measuring the performance of a supplier by considering the relevant criteria. But the evaluation process is complex. Linguistic assessment of suppliers may be carried out based on several criteria. Much of the data are difficult to obtain and ambiguous or vague to interpret. Nonetheless, a rational process of evaluation must exist to select the most appropriate suppliers. This paper develops a supplier evaluation approach based on the analytic network process (ANP) and fuzzy synthetic evaluation under a fuzzy environment. The importance weights of various criteria are considered as linguistic variables. These linguistic ratings can be expressed in triangular fuzzy numbers by using the fuzzy extent analysis. Fuzzy synthetic evaluation is used to select a supplier alternative and the Fuzzy ANP (FANP) method is applied to calculate the importance of the criteria weights. Then an integrated FANP and fuzzy synthetic evaluation methodology is proposed for evaluating and selecting the most suitable suppliers. A hypothetical example is presented and the results indicated that the combination of ANP and fuzzy synthetic evaluation provided useful tool to select the optimal supplier.