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.