EconPapers    
Economics at your fingertips  
 

Designing a large-scale emergency logistics network - a case study for Kentucky

Umut Rıfat Tuzkaya, Sunderesh S. Heragu, Gerald W. Evans and Michael Johnson

European Journal of Industrial Engineering, 2014, vol. 8, issue 4, 513-532

Abstract: During a medical emergency in the USA, critical medical supplies such as medications, vaccines, gloves, masks and ventilators, are delivered to one location within each state. The state and local governments are responsible for delivering the supplies from this location, called the receiving, staging and storage (RSS) site to the points of dispense (PODs). The supplies can be sent from the RSS to PODs directly or via regional distribution nodes (RDNs). We develop two mixed-integer programming models for this emergency logistics network (ELN) problem. These two models are simplified to obtain equivalent models that lead to the same results, but with fewer constraints. The equivalent models are much less complex and have lower computational memory and time requirements. We optimise the required number and locations of RSSs and RDNs needed to satisfy the demands at the PODs within the required time windows. Experiments are conducted to illustrate how the proposed models can be applied to a real life problem. [Received 27 October 2011; Revised 24 February 2012; Revised 20 September 2012; Accepted 18 February 2013]

Keywords: large-scale emergency logistics; logistics network design; mixed-integer programming; emergency management; medical emergencies; critical medical supplies; modelling; USA; United States. (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.inderscience.com/link.php?id=64758 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:eujine:v:8:y:2014:i:4:p:513-532

Access Statistics for this article

More articles in European Journal of Industrial Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:eujine:v:8:y:2014:i:4:p:513-532