需求与公用工程不确定的生产计划与调度集成

发布时间：2018-08-18 10:08

【摘要】：为了降低生产过程中的不确定因素对生产计划和调度的影响,考虑需求和公用工程的不确定性,建立多周期计划和调度双层集成模型.根据时间尺度的不同,分别在计划层和调度层处理需求和公用工程的不确定性.在计划层,引入机会约束随机规划来描述需求不确定性,基于离散时间建模方法建立离散时间线性不确定模型,考虑了生产率波动和参考库存约束.在调度层,引入模糊理论来表示公用工程的不确定性,基于特定单元事件点的连续时间建模方法建立关于多阶段多用途的间歇过程连续时间混合整数线性不确定模型.利用滚动优化策略对计划和调度双层模型进行迭代求解.通过经典算例验证了该模型的可行性和有效性.采用该方法有效地降低了两种不确定参数对优化结果的影响,提高了设备和公用工程的利用率.
[Abstract]:In order to reduce the influence of uncertain factors in production process on production planning and scheduling, considering the uncertainty of demand and public works, a multi-period planning and scheduling bilevel integrated model is established. According to the time scale, we deal with the uncertainty of demand and public works in the planning layer and scheduling layer, respectively. In the planning layer, opportunistic stochastic programming is introduced to describe demand uncertainty, and discrete time linear uncertain model is established based on discrete time modeling method. Productivity fluctuation and reference inventory constraints are considered. In the scheduling layer, the fuzzy theory is introduced to represent the uncertainty of public works. The continuous time modeling method based on specific cell event points is used to establish a mixed integer linear uncertainty model for multistage multipurpose batch processes. The bilevel model of planning and scheduling is solved iteratively by rolling optimization strategy. The feasibility and validity of the model are verified by a classical example. This method can effectively reduce the influence of two kinds of uncertain parameters on the optimization results and improve the utilization ratio of equipment and public works.
【作者单位】：浙江大学智能系统与控制研究所;
【基金】：国家“863”高技术研究发展计划资助项目(2014AA041803) 国家自然科学基金资助项目(61134007)
【分类号】：F274

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