Name
Abstract | ||
|---|---|---|
The stochastic nature of emergency service requests and the unavailability of emergency vehicles when requested to serve demands
are critical issues in constructing valid models representing real life emergency medical service (EMS) systems. We consider
an EMS system design problem with stochastic demand and locate the emergency response facilities and vehicles in order to
ensure target levels of coverage, which are quantified using risk measures on random unmet demand. The target service levels
for each demand site and also for the entire service area are specified. In order to increase the possibility of representing
a wider range of risk preferences we develop two types of stochastic optimization models involving alternate risk measures.
The first type of the model includes integrated chance constraints (ICCs ), whereas the second type incorporates ICCs and
a stochastic dominance constraint. We develop solution methods for the proposed single-stage stochastic optimization problems
and present extensive numerical results demonstrating their computational effectiveness. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/s10479-010-0787-x | Annals OR |
Keywords | Field | DocType |
stochastic programming · random demand · risk constraints · integrated chance constraints · stochastic dominance · emergency system · facility location · ambulance allocation · equity,construct validity,stochastic dominance,service level,stochastic programming,facility location,stochastic optimization,system design | Mathematical optimization,Stochastic optimization,Service level,Service system,Stochastic dominance,Systems design,Facility location problem,Unavailability,Stochastic programming,Mathematics | Journal |
Volume | Issue | ISSN |
181 | 1 | 1572-9338 |
Citations | PageRank | References |
13 | 0.95 | 13 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nilay Noyan | 1 | 184 | 13.93 |