A fuzzy decision support approach for modularization scheme selection of product-service offerings

Abstract

Many manufacturers today are striving to offer high value-added product-service offerings (PSO) due to increasing competitions and environmental concerns. Modularization of PSO can improve design efficiency and quickly response to customer’s personalized requirements. However, research has rarely been conducted on the PSO modularization schemes evaluation which is critical to the success of the whole modularization. There are also no proper evaluation criteria for such heterogeneous form of hybrid solution. Therefore, in order to select reasonable modularization scheme of PSO, an approach based on fuzzy TOPSIS with integrated weights is proposed in this paper. Integration of subjective weight and objective weight helps to avoid underestimating or overestimating weigh of evaluation criteria, while the fuzzy TOPSIS approach provides a structure of multi-criteria decision-making (MCDM) under uncertain environment. A case study of compressor rotor service is used to validate the feasibility and effectiveness of the proposed method.