A fuzzy based decision support model for non-traditional machining process selection

Abstract

Usages of non-traditional machining processes are rapidly increasing together with increases in demand and usage of high strength, temperature resistant and complex materials. Due to their advantages such as cutting speed, surface quality and economizing, they became a vital process of manufacturing. Because of the conflicting criteria, the selections of appropriate non-traditional machining process highly require usage of multi criteria decision making methods. This study provides distinct systematic approaches both in fuzzy and crisp domain to deal with the selection problem of appropriate non-traditional machining process and proposes a decision support model for forth leading decision makers to assess potentials of distinct non-traditional machining processes. The required data for decision matrices is obtained via a questionnaire to specialists as well as deep discussions with experts, making use of past studies, and experimentally. An application of the proposed model is also performed to show the applicability of the model.