Target-based resource pooling problem

• 成果类型: Article
• 署名作者: Cui, Zheng; Ding, Jianpeng; Long, Daniel Zhuoyu; Zhang, Lianmin
• 署名单位: Zhejiang University; Nanjing University of Finance & Economics; Chinese University of Hong Kong; Shenzhen Research Institute of Big Data; Hohai University; Nanjing University of Finance & Economics
• 刊物名称: PRODUCTION AND OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1059-1478
• DOI: 10.1111/poms.13920
• 发表日期: 2023
• 页码: 1187-1204
• 关键词: column and constraint generation algorithm; distributionally robust optimization; resource pooling; robust satisficing; target-based decision making

摘要

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.