The cutting blade selection has been important issue for manufacturing systems due to the fact that it might affect productivity, precision and manufacturing cost. It is a multiple-criteria decision making problem for evaluating blade alternatives. In this paper, the hybrid approach is discussed,which combined the fuzzy AHP and benefit cost analysis. An improved AHP method based on triangular fuzzy number is used to analyze the cutting performance of blade alternatives. It can make up for the deficiency in the conventional AHP. Furthermore, the benefit cost analysis is carried out to evaluate the economic performance of alternatives. The benefit cost ratio is calculated by using the fuzzy AHP score and tool consumption cost. Tool consumption cost is obtained in consideration of tool service life and procurement cost. The optimal blade alternative with highest benefit/cost ratio can be found out. In addition, the proposed approach is also illustrated on a sample case study.
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