Target‐based resource pooling problem
研究多资源多顾客的两阶段资源池化问题，在总预算内决定资源容量，再根据服务水平要求确定履约策略，采用鲁棒满意框架处理需求分布模糊性，并引入新概率距离实现精确求解。
We study a two‐stage resource pooling problem with multiple resources and customers. The central decision‐maker decides the capacity level of the resources within a total budget before the realization of uncertain demand. Then, the fulfillment policy is determined by individual service‐level requirements. We use a robust satisficing framework to formulate the problem and allow ambiguity in the distribution of demand. Moreover, we introduce a new utility‐based probability distance allowing the model to be solved exactly using a column and constraint generation algorithm. We also provide a more efficient solution method for some special cases. Finally, we conduct experiments for a process flexibility problem, which is an example of the resource pooling problem. We show the advantage of our model over some benchmark approaches, and show the impact of the flexibility structure and correlation between demands.