• 论文 •    

基于解析—仿真反馈的动态随机生产决策模型

张人千,魏法杰   

  1. 北京航空航天大学 经济管理学院,北京  100083
  • 出版日期:2005-12-15 发布日期:2005-12-25

Dynamic & stochastic production decision-making model based on analytic-simulation feedback

ZHANG Ren-qian, WEI Fa-jie   

  1. Sch. of Economics & Management, Beihang Univ., Beijing  100083, China
  • Online:2005-12-15 Published:2005-12-25

摘要: 为了解决动态随机因素在综合生产计划决策中造成的生产计划不可行问题,提出了使用仿真方法近似实际的生产系统,结合随机解析模型,通过反馈方法进行决策参数修正的解析—仿真动态随机生产决策模型,并给出了作业参数的反馈松弛修正方法。该方法首先通过静态随机解析模型求解最优生产决策,将最优决策结果输入仿真模型,以此比较实际仿真生产结果和静态解析模型决策结果的差别,基于该差别对随机决策参数进行松弛修正,将松弛之后的决策参数带入解析模型再次循环建模并求解和仿真,直到符合停止准则。通过算例验证了该决策方法的收敛性,并通过实例证明了该方法在实际生产系统的动态随机决策中是有效的。

关键词: 仿真, 动态随机生产决策, 反馈

Abstract: To cope with infeasible production planning during the decision-making of integrated production plan owing to dynamic and stochastic production process, a decision-making model based on analytic-simulation feedback was put forward. For feasibility of analytic production decision-making model, dynamic simulation technology was used to describe real production system and feedback method was used to modify decision parameters. A feedback-based relaxation method for modify decision parameters was proposed. To revise stochastic decision-making parameters, an analysis model was constructed firstly, and its result was used in a simulation model to observe real production status. Then, the stochastic decision parameters were modified through comparison between the analysis model and simulation model. Continuously, the modified parameters were used to continue the process of analytic decision-making and dynamic simulation until the stop rule was satisfied. Algorithm convergence was proved by an example and decision-making effectiveness was proved by a case study.

Key words: simulation, dynamic & stochastic production decision-making, feedback

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