TY - JOUR AB - Purpose Relief item distribution to victims is a key activity during disaster response. Currently many humanitarian organizations follow simple guidelines based on experience to assess need and distribute relief supplies. However, the interviews with practitioners suggest a problem in efficiency in relief distribution efforts. The purpose of this paper is to develop a model and solution methodology that can estimate relief center (RC) performance, measured by waiting time for victims and throughput, for any RC design and analyze the impact of key design decisions on these performance measures.Design/methodology/approach Interviews with practitioners and current practice guidelines are used to understand relief distribution and a queuing network model is used to represent the relief distribution. Finally, the model is applied to data from the 2015 Nepal earthquake.Findings The findings identify that dissipating congestion created by crowds, varying item assignment decisions to points of distribution, limiting the physical RC capacity to control congestion and using triage queue to balance distribution times, are effective strategies that can improve RC performance.Research limitations/implications This research bases the RC designs on Federal Emergency Management Agency guidelines and assumes a certain area and volunteer availability.Originality/value This paper contributes to humanitarian logistics by discussing useful insights that can impact how relief agencies set up and operate RCs. It also contributes to the queuing literature by deriving analytic solutions for the steady state probabilities of finite capacity, state dependent queues with blocking. VL - 8 IS - 1 SN - 2042-6747 DO - 10.1108/JHLSCM-03-2017-0012 UR - https://doi.org/10.1108/JHLSCM-03-2017-0012 AU - Ozen Merve AU - Krishnamurthy Ananth PY - 2018 Y1 - 2018/01/01 TI - Evaluating relief center designs for disaster relief distribution T2 - Journal of Humanitarian Logistics and Supply Chain Management PB - Emerald Publishing Limited SP - 22 EP - 48 Y2 - 2024/04/20 ER -