Title
A maximum expected covering problem for locating and dispatching two classes of military medical evacuation air assets.
Abstract
Military medical evacuation (MEDEVAC) systems respond to casualty incidents and transport the most urgent casualties to a medical treatment facility via multiple types of air ambulance assets. Military MEDEVAC systems are subject to an uncertain number of service calls and each service call demands different system operations depending on type and the priority level. Therefore, military medical planners need an air MEDEVAC asset management system that determines how to dispatch multiple types of air assets to prioritized service calls to maintain a high likelihood of survival of the most urgent casualties. To reach this goal, we propose a novel binary linear programming (BLP) model to optimally locate two types of air assets and construct response districts using a dispatch preference list. Additionally, the BLP model balances the workload among assets and enforces contiguity in the first assigned locations for each air asset. The objective of the BLP model is to maximize the proportion of high-priority casualties responded to within a pre-specified time threshold while meeting performance benchmarks to other types of casualties. A spatial queuing approximation model is derived to provide inputs to the BLP model, which thus reflects the underlying queuing dynamics of the system. We illustrate the model and algorithms with a computational example that reflects realistic military data.
Year
DOI
Venue
2015
10.1007/s11590-014-0819-6
Optimization Letters
Keywords
Field
DocType
Air MEDEVAC asset management, Casualty triage, Spatial queuing, Binary linear programming, Military medicine
Mathematical optimization,Military medicine,Contiguity,Workload,Computer security,Binary linear programming,Aviation,Operations research,Queueing theory,Linear programming,Asset management,Mathematics
Journal
Volume
Issue
ISSN
9
8
1862-4480
Citations 
PageRank 
References 
3
0.44
5
Authors
3
Name
Order
Citations
PageRank
Benjamin C. Grannan130.44
Nathaniel D Bastian2233.31
Laura A. Mclay319215.16