不确定条件下石化企业供应链计划优化

针对石化企业供应链计划层的不确定性，提出了一种多周期、多产品的计划优化模型。基于离散时间建模方法，利用模糊可能性方法将不确定性问题转化为确定性问题，建立了混合整数线性规划模型。同时采用模型预测控制思想，利用模型的动态属性为决策者提供了不同满意度下的决策序列。以某炼油企业供应链为实例，证明了本方法的有效性。

Optimization for petrochemical supply chain planning under uncertainty

A multi-period,multi-product planning optimization under uncertainty is discussed.Based on the discrete-time modeling method,a mixed integer linear programming(MILP)model,in which the nonlinear part is converted to linear problem using fuzzy possibility method is proposed.Meanwhile,the usefulness of MPC as a tactical decision policy is integrated to the model.The effectiveness of the proposed model is illustrated through a real world refinery supply chain.