考虑需求时序关联性的MTO企业订单选择和调度综合决策

发布时间：2018-11-16 13:48

【摘要】：综合考虑计划期内订单之间存在的序列相关的转换时间和转换成本以及客户当期订单需求与未来需求之间存在的时间序列关联,构建了包括当前计划期收益及未来期望引致收益的长期收益目标函数,建立了产能有限的MTO企业面向长期收益最优化的订单选择与调度综合决策的模型。为了求解此复杂问题,在模型中引入一个虚拟订单,并对所建的整数规划模型实施了转化和松弛;随后针对模型设计了相应算法,并通过数值仿真对该算法进行了分析和验证。仿真结果表明:所建模型可以得出近似最优的订单选择与调度综合策略;考虑订单需求之间的时序关联性影响进行订单选择与调度决策比不考虑该因素更优;所设计算法对不同转换时间和转换成本、不同任务规模的订单决策问题求解同样有效。
[Abstract]:Considering the conversion time and cost of the sequence correlation between the order during the planning period, and the time series correlation between the customer's current order demand and the future demand, In this paper, the objective function of long-term income is constructed, which includes the income in the current planning period and the expected income in the future, and the comprehensive decision model of order selection and scheduling for the MTO enterprises with limited capacity is established for the optimization of long-term income. In order to solve this complex problem, a virtual order is introduced into the model, and the integer programming model is transformed and relaxed. Then, the corresponding algorithm is designed for the model, and the algorithm is analyzed and verified by numerical simulation. The simulation results show that the proposed model can obtain an approximate optimal order selection and scheduling strategy, and it is better to take account of the temporal correlation between order requirements to make order selection and scheduling decision than not to consider this factor. The proposed algorithm is also effective in solving order decision problems with different conversion time, conversion cost and task size.
【作者单位】：重庆大学经济与工商管理学院;重庆大学现代物流重庆市重点实验室;中共重庆市委党校公共管理学教研部;
【基金】：国家自然科学基金资助项目(71272086) 国家科技支撑计划资助项目(2012BAF12B09)
【分类号】：F274;O221.4

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