Capacity Planning for Networks of Stem-Cell Donation Centers under Uncertainty

• 成果类型: Article
• 署名作者: Gokalp, Elvan; Gulpinar, Nalan; Xuan Vinh Doan
• 署名单位: University of Warwick; University of Warwick
• 刊物名称: PRODUCTION AND OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1059-1478
• DOI: 10.1111/poms.13090
• 发表日期: 2020
• 页码: 281-297
• 关键词: health-care modeling; capacity planning; donation centers; Stochastic Programming

摘要

Stem-cell transplantation is the last chance for patients of various blood-related diseases. Stem-cell donation centers admit patients in need of a stem-cell transplant and search for a perfect match between the patients and donors. The search process is time-consuming and requires expensive advanced equipments, in particular for DNA typing. In this study, we are concerned with a capacity planning problem in a network of stem-cell donation centers. The underlying optimization model integrates the operations for a donor search and aims to maximize the number of transplantations. A scenario-based stochastic programming approach is introduced to investigate the effect of the demand and service time variabilities into the capacity planning problem. We consider the maximum possible waiting time during the search process to obtain robust solutions against uncertainties. For this purpose, we approximate the maximum waiting time in the advanced blood testing with a robust queuing approach. The computational experiments are designed to illustrate the performance of the capacity planning model.