Evaluating relief center designs for disaster relief distribution. Issue 1 (3rd April 2018)

• Record Type: Journal Article
• Authors: Ozen, Merve; Krishnamurthy, Ananth
• Is Part Of: Journal of humanitarian logistics and supply chain management. Volume 8:Issue 1(2018)
• Page Start: 22
• Page End: 48
• Publication Date: 2018-04-03
• Subjects: Distribution -- Disaster relief operations -- Disaster aid -- Blocking -- Nepal earthquake -- Queuing network; Humanitarian assistance -- Management -- Periodicals; Emergency management -- Periodicals; Disaster relief -- Periodicals; Business logistics -- Periodicals; 361.26
• DOI: 10.1108/JHLSCM-03-2017-0012
• Languages: English
• ISSNs: 2042-6747

Abstract

Abstract : 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.