Capacity planning for networks of stem-cell donation centres under uncertainty

Elvan Gokalp, Nalan Gulpinar, Xuan Vinh Doan

Research output: Contribution to journalArticlepeer-review

3 Citations (SciVal)


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.
Original languageEnglish
Pages (from-to)281-297
Number of pages17
JournalProduction and Operations Management
Issue number2
Early online date19 Oct 2019
Publication statusPublished - 11 Feb 2020


Dive into the research topics of 'Capacity planning for networks of stem-cell donation centres under uncertainty'. Together they form a unique fingerprint.

Cite this