Authors: Umut Rıfat Tuzkaya; Sunderesh S. Heragu; Gerald W. Evans; Michael Johnson
Addresses: Department of Industrial Engineering, Yildiz Technical University, Istanbul 34349, Turkey ' Department of Industrial Engineering, University of Louisville, Louisville, KY 40292, USA ' Department of Industrial Engineering, University of Louisville, Louisville, KY 40292, USA ' Health and Medical Emergency Operations Section Supervisor, Department for Public Health, Commonwealth of Kentucky, Frankfort, KY 40621, USA
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.
European Journal of Industrial Engineering, 2014 Vol.8 No.4, pp.513 - 532
Published online: 14 Sep 2014 *Full-text access for editors Access for subscribers Purchase this article Comment on this article