A CASE STUDY FOR PRE-POSITIONING A GLOBAL HUMANITARIAN RELIEF NETWORK

Year 2017, Volume: 13 Issue: 1, 23 - 30, 28.04.2017

Ertan Yakıcı

Abstract

In
this case study, we have investigated the optimal design of a network of
warehouses to be pre-positioned for humanitarian relief operations to be
executed when expected disasters happen. A model which is previously introduced
in the literature is applied with the most recent data. The model responds to
decision requirements in both locations of warehouses and allocation of
resources to these warehouses, assuming the disaster pattern of last decade
will continue. A sensitivity analysis is also conducted to observe how the
average response time changes as the allowed number of warehouses increases.

Keywords

Pre-positioning, Humanitarian Relief Logistics, Warehouse Location

References

• [1] Ergun O., Karakus G., Keskinocak P., Swann J., and Villarreal, M., (2008). Overview of Supply Chains for Humanitarian Logistics. In Encyclopedia in Operations Research and Management Science; Cochran, J., Ed.; John Wiley Sons: Hoboken, NJ, USA.
• [2] Van Wassenhove L.N., (2006). Blackett memorial lecture-humanitarian aid logistics: Supply chain management in high gear, J. Oper. Res. Soc., 57, pp. 475–489.
• [3] Duran S., Gutierrez M.A., and Keskinocak P., (2011). Pre-positioning of emergency items for care international, Interfaces, vol. 41(3), pp. 223–237.
• [4] EM-DAT The International Disaster Database Homepage. Available online: http://www.emdat.be (accessed on 5 March 2017).
• [5] Bozkurt M., and Duran S., (2012). Effects of Natural Disaster Trends: A Case Study for Expanding the Pre-Positioning Network of CARE International, Int. J. Environ. Res. Public Health, 9, pp. 2863-2874.
• [6] Bozkurt M., (2011). The effects of natural disaster trends on the prepositioning implementation in humanitarian logistics networks, MS Thesis, METU, Ankara.