Supplier Evaluation with Hesitant Fuzzy Analytic Hierarchy Process in Bearing Sector and Consistency Analysis

摘要

The bearing sector has a demand for high precision and expensive machine tools. To ensureproduct quality and reduction of operating costs, the manufacturers in this sector should developan appropriate supplier evaluation mechanism for the bearings. Therefore, this studypresents a Hesitant Fuzzy Analytic Hierarchy Process (HF-AHP) technique for the evaluationof suppliers. HF-AHP, which is an extension of the well-known Fuzzy AHP (F-AHP), allows morespace to decision makers while they are performing pairwise comparisons in hesitant situations.This article also introduces a consistency analysis technique for the preferences. Thistechnique firstly sorts out the hesitancy and then deals with fuzzy comparisons. In addition,to demonstrate the applicability of the proposed approach, a case study is presented as anumerical example in the bearing industry. The results of this application are compared withthe results of the same case that was previously handled with the traditional F-AHP method inthe literature. Finally, sensitivity analysis, which is performed to check the robustness of thedecision, investigates the effects of changes in criteria weights.