第三方仓库作为服务提供商,主要以期望收益最大化为目标,但是必须满足一定的顾客服务标准。针对高需求环境,考虑顾客服务水平约束,提出了一个基于排队论的随机设计优化模型以使仓库的期望收益最大化。采用动态优化算法对模型求解,选取实例进行了数值实验。结果显示,模型的优化设计显著地提高了高需求环境下该第三方仓库的期望收益。在此基础上,找到了服务约束的可行范围和有效范围,为决策者制定服务标准提供了依据。 Third-party warehouses, as service providers, aim primarily at maximizing return on earnings, but must meet certain customer service standards. In view of the high demand environment and customer service constraints, a stochastic design optimization model based on queuing theory is proposed to maximize the expected benefits of warehouses. The dynamic optimization algorithm is used to solve the model, and the numerical examples are selected. The results show that the optimal design of the model significantly improves the expected return of the third-party warehouse in high demand environment. On this basis, the feasible range and effective scope of service constraints are found, which provides the basis for decision makers to set service standards.