关键词: 多工厂, 协同生产计划, 个体利益平衡, 快速非支配排序遗传算法

Abstract: For the distributed system consisting of multiple factories, the multi-objective planning model for coordinative production is established considering the individual interests of different factories. In this model, the maximization of overall profit is designed as the first optimization objective. Meanwhile, based on the Adams's fairness theory, adopting the deviation coefficient method, the minimization of individual profit balance deviation is designed as the second optimization objective. According to the characteristics of model structure, the corresponding solving process is designed based on Fast Elitist Non-dominated Sorting Genetic Algorithm(NSGA-II).Finally, the multi-objective multi-factory coordinative production planning model and solution method designed in this paper are applied to a multi-factory coordinative production system of automobile engines. The numerical example shows that the multi-objective planning model and the solution method designed in this paper can not only coordinate the production, inventory and transportation activities of each factory from the perspective of network integration, but also achieve the minimization of the non-uniformity between overall interests and individual ones, effectively protecting the individual interests of each factory and the overall benefits of the system.

Key words: multi-factory, coordinative production planning, individual interests balance, NSGA-II