The Customer Requirements Analysis Method of Engineering Products Based on Multiple Preference Information

Abstract

To effectively evaluate the fuzziness of the market environment in product planning, a customer requirements analysis method based on multiple preference information is proposed. Firstly, decision-makers use a preferred information form to evaluate the importance of each customer requirement. Secondly, a transfer function is employed to unify various forms of preference information into a fuzzy complementary judgment matrix. The ranking vector is then calculated using row and normalization methods, and the initial importance of customer requirements is obtained by aggregating the weights of decision members. Finally, the correction coefficients of initial importance and each demand are synthesized, and the importance of customer requirements is determined through normalization. The development example of the PE jaw crusher demonstrates the effectiveness and feasibility of the proposed method.