Abstract: In order to solve the problem of QoS evaluation for manufacturing services with heterogeneous decision information and dynamic changes in the number of candidate services in shared manufacturing, this paper proposes a multi-party heterogeneous evaluation method for QoS in manufacturing services that conforms to the characteristics of shared manufacturing based on the tripartite decision information of the platform, service demanders and service providers. First, heterogeneous information is processed through crisp numbers, language variables and Z-number theory. Second, the weight vector of the decision maker is calculated based on consensus maximization, while the attribute weight is determined based on the dispersion maximization model after using the TrFWAA operator to gather multi-party information. On this basis, RIM is used to evaluate and rank each service. Finaly, the proposed method is verified and analyzed through a case study of manufacturing service optimization in the shared manufacturing condition. Results show that the method has good practicality and superiority.

Key words: shared manufacturing, Z-number theory, reference ideal model (RIM), group decision-making, QoS evaluation