基于改进协同优化的不确定集成生产计划调度与风险管理研究

Song Zheng, Jun Liu, Di Wu
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引用次数: 0

摘要

生产计划与调度的优化是现代过程工业的重要问题。由于它们的时间维度不同,如果单独求解,容易造成优化结果之间的冲突,最终结果不可行。当面对生产模型这样的复杂问题时,协同优化是可以应用的,但它仍然存在不足。为此,提出了改进的协同优化方法,并将改进的协同优化方法应用于求解不确定生产模型。仿真结果表明,改进后的协同优化方法具有更好的全局优化能力和实用性。本文不仅拓展了协同优化的应用范围,而且为求解不确定生产模型提供了一种新的思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on uncertain integrated production planning and scheduling with risk management based on improved collaborative optimization
The optimization of production planning and scheduling is important for modern process industry. Due to different time dimensions of them, it is easy to create conflicts between the optimization results if they are solved separately, and the final results are not feasible. When facing a complex problem like production model, Collaborative optimization could be applied, but it still has shortcomings. Therefore, the improvement of collaborative optimization is proposed and improved collaborative optimization is applied to solve the uncertain production model. At last, the simulation results show that improved collaborative optimization can achieve better global optimization capability and practicability. This paper not only shows that the application scope of collaborative optimization has been expanded, but also provides a new idea for solving the uncertain production model.
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