Application of Analytic Network Process in Selection of Six-Sigma Projects

This research aims at presenting a fuzzy model to evaluate and selectSix-Sigma projects. For this purpose, a model of fuzzy analyticnetwork process (ANP) was designed to consider the relation andmutual impact among the factors. In order to evaluate the projects,nine sub-criteria were considered which were classified into threecategories of business, finance and procedural ones. Also to considerthe ambiguity related to the pairwise comparisons being used in theresearch, the fuzzy logic was employed. The fuzzy algorithm being usedis in the method of Mikhailov which has various advantages such asthe presentation of consistency index and weight vector in a crisp form.At the end, in order to show the applicability, the proposedmethodology was applied in an automobile part manufacturing firm.