A multiperiod set covering location model for dynamic redeployment of ambulances

Authors:
Hari K. Rajagopalan;Cem Saydam;Jing Xiao
Affiliations:
School of Business, Francis Marion University, Florence, SC 29501, USA;Business Information Systems and Operations Management Department, The Belk College of Business, The University of North Carolina at Charlotte, Charlotte, NC 28223, USA;Computer Science Department, College of Information Technology, The University of North Carolina at Charlotte, Charlotte, NC 28223, USA
Venue:
Computers and Operations Research
Year:
2008

Citing 10
Cited 9

The maximum reliability location problem and x&agr;-reliable &rgr;-center problem: derivatives of the probabilistic location set covering problem

Annals of Operations Research
A reliability model applied to emergency service vehicle location

Operations Research
Modeling co-located servers and dispatch ties in the hypercube model

Computers and Operations Research
Tabu Search

Tabu Search
Fast heuristics for large scale covering-location problems

Computers and Operations Research - Location analysis
On the use of genetic algorithms to solve location problems

Computers and Operations Research - Location analysis
Parallel Tabu Search for Real-Time Vehicle Routing and Dispatching

Transportation Science
A note on solutions to the maximal expected covering location problem

Computers and Operations Research
A maximal covering location model in the presence of partial coverage

Computers and Operations Research
Towards unified formulations and extensions of two classical probabilistic location models

Computers and Operations Research

EMS call volume predictions: A comparative study

Computers and Operations Research
Ambulance redeployment: an approximate dynamic programming approach

Winter Simulation Conference
Decision support systems and the coordination of supply consortium partners

Computers in Industry
Survey: Covering problems in facility location: A review

Computers and Industrial Engineering
Survey: Facility location dynamics: An overview of classifications and applications

Computers and Industrial Engineering
Exploring bounds on ambulance deployment policy performance

Proceedings of the Winter Simulation Conference
Optimizing the facility location design of organ transplant centers

Decision Support Systems
Anticipatory routing of police helicopters

Expert Systems with Applications: An International Journal
Survey: A review on simulation models applied to emergency medical service operations

Computers and Industrial Engineering

Quantified Score

Hi-index	0.01

Visualization

Abstract

Emergency medical service (EMS) providers continually seek ways to improve system performance particularly the response time to incidents. The demand for ambulances fluctuate throughout the week, depending on the day of week, and even the time of day, therefore EMS operators can improve system performance by dynamic relocation/redeployment of ambulances in response to fluctuating demand patters. The objective of the model is to determine the minimum number of ambulances and their locations for each time cluster in which significant changes in demand pattern occur while meeting coverage requirement with a predetermined reliability. The model is further enhanced by calculating ambulance specific busy probabilities and validated by a comprehensive simulation model. Computational results on experimental data sets and data from an EMS agency are provided.