Selection of Best Intelligent Manufacturing System (IMS) Under Fuzzy Moora Conflicting MCDM Environment

The selection decisions are complex, as intelligent manufacturing system selection is more challenging today. There is a need for simple, systematic, and logical methods or mathematical tools to guide decision makers in considering a number of selection attributes and their interrelations and in making right decisions. Although a large number of mathematical approaches are now available to evaluate, select and rank the alternative intelligent manufacturing system for a given engineering application, this paper explores the applicability and capability of Multi-objective optimization on the basis of ratio analysis (MOORA) method for as intelligent manufacturing system selection. The MOORA method based on ratio analysis and dimensionless measurement will accomplish the job of ranking the intelligent manufacturing system in a non-subjective way. Furthermore, the method uses fuzzy logic to convert the qualitative attributes into the quantitative attributes. Keywords—Intelligent Manufacturing System (IMS), MOORA Method, AHP and Fuzzy Numbers.