关键词: 计划与调度, 不确定性, 随机规划, 优化, 模型, 系统工程

Abstract: Production planning and scheduling are two of the most important decision-making problems in supply chain optimization. To ensure the efficiency of decision-making, planning and scheduling were integrated, with consideration of demand uncertainty. For a multi-period production planning and scheduling problem, planning and scheduling deterministic models were established in each period firstly, and they were integrated through production correlation. Then, demand uncertainty was introduced and decision variables were represented with a finite number of scenarios in a two-stage stochastic programming model. At last, rolling horizon strategy was used to achieve consistency between planning and scheduling results in an iterative process. The case study demonstrated that compared with the conventional method, the stochastic programming method could reduce total cost under demand uncertainty. Combined with the hierarchical integration method, production operational and economic optimization was achieved.

Key words: planning and scheduling, uncertainty, stochastic programming, optimization, model, systems engineering