Production planning conflict resolution of complex product system in group manufacturing: A novel hybrid approach using ant colony optimization and Shapley value

• Considering production planning conflict resolution of complex product system in group manufacturing.
• Develop a novel hybrid approach using ant colony optimization and Shapley value.
• Conduct a case study to test the performances of the approaches.
• Results show proposed approach outperforms for optimal solution searching.

Production planning conflict (PPC) is a key factor leads to production delay in manufacturing system. As production planning of complex product system (CoPS) is more complex than commodity products, some manufacturing enterprises set up a new group manufacturing (GMfg) enterprise to decrease conflict and expand resources deployment. Besides, group members have been forced by customers not only to supply products timely but also to be responsible for product cost. In addition, with conflict resolution of production planning, allocating the conflict resolution profits (CRP) among group members becomes an unsolved issue in GMfg. Hence, a new variant of conflict resolution model named GMfg production planning conflict resolution of CoPS (GPPCR&CoPS) is addressed in this paper. In the proposed approach, a Multi-level progress view (MLPV) model is used to detect the conflict of CoPS. Also, a bi-objective (schedule delay and total cost) is used and the CRP allocation among group members is considered. Moreover, a novel hybrid approach using dual-path searching ant colony optimization (DPS-ACO) and Shapley value is proposed to solve the bi-objective problem. Finally, a case study and comparison of performances with ant colony optimization (ACO) and NSGA-II are presented. Experimental results show the proposed method is more preferable in optimal solution searching.