An Integrated Fuzzy Group Decision Support Framework for Performance Assessment of Advanced Manufacturing Technologies: An Eclectic Comparison

In a highly volatile manufacturing world, the demand of a product changes on everyday basis. Thus, there is a need of flexibility and competitiveness in the part of manufacturing organizations to cope with the situation. It becomes an absolute necessity for any organization to plump for the implementation of advanced manufacturing technology (AMT) for its betterment. The present paper exhibits a decision model based on Taguchi loss function under fuzzy environment in the process of evaluating the AMTs. Triangular fuzzy numbers are used in the analytics to quantify the obscurity immanent in the subjective estimates. An objective estimate is also undertaken in the model to make it more effective and fruitful. The applicability of the algorithm is exhibited by pitting it against a more orthodox fuzzy VIKOR method on a case study of AMT selection. The results gained thereafter could establish the superiority of the proposed approach.