单件离散型生产作业排程的多目标协同优化

Multi-objective Collaborative Optimization of Production Scheduling for One-piece Discrete Manufacturing

以某重机企业为背景,分析了单件离散型生产作业排程的特征,提出多目标协同优化问题。基于改进的田口质量损失函数,确立质量、工期与成本之间的非线性关系,综合考虑单件离散型的约束条件,构建了生产作业排程多目标协同优化模型。集成仿真技术和遗传算法,为模型求解提供了有效方法。最后将模型和算法应用到企业的生产实践中,验证了其实用性和有效性,为解决单件离散型生产排程问题提供了科学方法。

Heavy machinery enterprise as research object, this paper analyses the feature of production scheduling for one-piece discrete manufacturing and proposes the collaborative multi-objective optimization problem. Based on the improved Taguchi loss function, nonlinear relationship of quality, delivery and cost is established. And the multi-objective collaborative optimization model of production scheduling is created as well as synthetically considering of one-piece discrete constraints. The effective solution was explored for solving the model Integrating simulation technique and genetic algorithm. Further, through the enterprise empirical study, the practicability and validity of the model and algorithm is verified. This study provides scientific method of production scheduling for one-piece discrete and improves the efficiency and scientific of the production scheduling.