基于最小最大后悔值准则的供应链鲁棒协调模型

A Robust Supply Chain Coordination Model based on Minimax Regret Criterion

研究了需求不确定条件下,基于最小最大后悔值准则的供应链鲁棒回购契约协调问题。针对未知需求具体分布形式的两级供应链系统,建立了供应链鲁棒回购契约协调模型。在仅知需求区间这一信息条件下,采用鲁棒优化方法求解了最小最大后悔值准则下的集成供应链鲁棒订货策略和分散供应链鲁棒契约协调策略。分析了不同服务水平和契约参数条件下,由于信息缺失而未能实现最优运作的供应链及其成员后悔值情况。最后,进行了数值计算,验证了不同需求分布形式假设下的最优决策与基于最小最大后悔值准则的鲁棒决策的优劣性,以及供应链鲁棒回购契约协调策略的有效性。结果表明,基于最小最大后悔值准则的供应链回购契约协调策略具有良好的鲁棒性,并且能够有效减少需求不确定性对系统及其成员运作绩效的影响。

A supply chain robust coordination model based on buyback contract is developed for the two-stage supply chain system with unknown demand distribution.The robust order policy for integrated supply chain,together with the robust contract coordination policy for decentralized supply chain,based on minimax regret criterion,is proposed by using robust optimization with only support information of demand.The regrets of a supply chain system and its members who do not operating optimally for lack of information are analyzed under different service levels and contract parameters.Lastly,numerical example is used to evaluate the optimal decision and robust decision based on minimax regret criterion,and to verify the effect of supply chain robust buyback contract coordination strategy under different demand distribution.The results show that supply chain coordination strategy with buyback contract based on minimax regret criterion has strong robustness and can reduce the impact of demand uncertainty on the performance of supply chain system and its members effectively.