基于模型预测控制的供应链操作优化仿真方案

基于模型预测控制算法为供应链中的操作决策问题建立动态定量的供应链整体系统模型进行研究,结合供应链特点改进目标函数,使得利润最大化同时保证了客户服务最大可能地接近期望水平,提出了一整套供应链滚动操作优化决策方案,为供应链决策者提供一体化的动态决策支持;并进一步针对不确定性市场需求的现实,引入风险值库存管理策略,定量测量和控制需求预测误差带来的库存风险,设计出应用于需求不确定市场环境下供应链滚动操作优化决策方案.基于GAMS的仿真结果证明了算法的有效性.

Simulation Scheme for Centralized Supply Chain Operation Based on Model Predictive Control Strategy

A dynamic quantitative model for the supply chain operation process was established to obtain an integrative decision-making solution schema based on model predictive control strategy, and a revision to the optimization objective was made to ensure that the optimal solution minimizes overall costs, while it satisfies a certain customer demand satisfactory (CDS) level; Furthermore, the Value-at-Risk (VaR) inventory management strategy was inducted to measure and control the inventory risk quantitatively, and a dynamic rolling decision-making schema for supply chain operation was proposed under uncertainty of demands. The GAMS simulation results prove the efficiency of the algorithm.