A λ-Shapley Choquet operator-based collaborative manufacturing capability optimization model in smart fuzzy system

As an advanced manufacturing form, collaborative manufacturing meets the needs of efficient production. With the development of production technology and increasingly complex market demand, manufacturing enterprises need to make more flexible production plans and resource utilization programs to cope with this change. We build a new smart fuzzy system and use it in the distributed manufacturing network of an enterprise to enhance the collaborative manufacturing capability within the network to help manufacturing enterprises create more economic benefits with limited production resources. This smart fuzzy system combines the arithmetical intuitionistic fuzzy generalized λ-Shapley Choquet (AIFGSC
gλ
) operator to consider the relationship between index factors, firstly, a multi-objective robust optimization model is constructed by the manufacturing enterprise according to its own equipment requirements and solved by the NSGA-II-MOPSO algorithm. Secondly, combined with the AIFGSC
gλ
operator to select the optimal equipment transfer scheme and achieve dynamic equipment resource allocation combined with practical cases to illustrate that this new smart fuzzy system will help manufacturing enterprises to make better use of existing manufacturing resources and reduce unnecessary capacity waste. It helps enterprises to establish equipment transfer plan and production planning plan more quickly and easily; it verifies the practicality and effectiveness of this new smart fuzzy system applied in manufacturing enterprises.