汽车发动机多级混合流水车间协同调度优化方法

collaborative scheduling optimization method is proposed to coordinate the production process involving different workshops in the multi-stage hybrid engine shop, thus improving the collaborative production efficiency and reduce the cost for automotive engine production line. Firstly, the co-production relationship between each workshop and the co-production cost of engine multi-stage flow shop are analyzed and then the co-production model of multi-stage hybrid flow shop for automotive engine is established. Secondly, an improved reference vector guided multi-objective optimization evolutionary algorithm (RVEA) based on multi-threaded computation is proposed to improve the efficiency of optimally solving a multi-stage hybrid flow shop co-production model for automotive engines. Finally, the proposed multi-threaded (RVEA) is used to carry out a comparative analysis in a real-life case study from company, and the effectiveness and superiority of the model and method proposed in this paper have been verified.