SELECTING LEAN SIX SIGMA MANAGER BY USING TYPE-2 FUZZY AHP WITH A REAL CASE APPLICATION IN A LOGISTICS FIRM

Abstract

The aim of this study is to develop a framework for Selecting Lean Six Sigma Manager among candidates by using Type-2 Fuzzy Sets. Some authors found that the management of six sigma projects and management’s commitment are very important for the prevention of failure of them. Since the problem of selection of lean six sigma manager has various and conflicting criteria, it is a Multi Criteria Decision Making problem. The trapezoidal interval type-2 fuzzy Analytic Hierarchy Process methodology, which is one of the most used methods, is applied for an industrial manager selection. The membership functions of type-1 fuzzy sets are two-dimensional, whereas the membership functions of type-2 fuzzy sets are three-dimensional. It is the new third-dimension that provides additional degrees of freedom that make it possible to directly model uncertainties. There is no study about the selection of lean six sigma manager in literature. Logistics industry is one of the most important sectors for employment all over the world. Some logistics companies are visited and studied their processes carefully. In Lean Six Sigma Manager selection process, there are multiple criteria to consider and many candidates. In order to put those linguistic criteria in numerical presentation and ranking, AHP is a widely used MCDM tool. In this paper, the proposed criteria are leadership (C1), sectoral expertise (C2), personal and environmental analysis ability (C3), education (C4).