Multi-attribute Decision-making for Cnc Machine Tool Selection in Fmc Based on the Integration of the Improved Consistent Fuzzy Ahp and Topsis

Globalization of business and the competitiveness of manufacturing have motivated companies to improve the facilities to respond to the market requirements. Machine tool selection plays a major role in the improvement of productivity, flexibility in uncertain manufacturing. The objective of this study is to present the simple approach for machine tool selection based on the integration of consistent fuzzy AHP and TOPSIS. In particular, the fuzzy linguistic reference relation is integrated into AHP to solve the imprecise and vague information, and simplify the data collection in the pair-wise comparison matrix, which determines the weight of attributes. The output of fuzzy AHP is imported into the TOPSIS method for ranking alternatives through the closeness coefficient. The numerical example is implemented based on the data collecting by questionnaire and literature to validate the model. The results show that the proposed approach is a simple tool and reaches an effective multi-attribute decision in machine tool selection.