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Hari K. Rajagopalan, Ph.D.

Affiliations: 
2006 University of North Carolina, Charlotte, Charlotte, NC, United States 
Area:
Operations Research
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"Hari Rajagopalan"
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Cem Saydam grad student 2006 UNC Charlotte
 (Developing and validating realistic dynamic relocation models for emergency medical systems: A hybrid meta-heuristic approach.)

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Publications

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Enayati S, Mayorga ME, Rajagopalan HK, et al. (2018) Real-time ambulance redeployment approach to improve service coverage with fair and restricted workload for EMS providers Omega. 79: 67-80
Zaffar MA, Rajagopalan HK, Saydam C, et al. (2016) Coverage, survivability or response time: A comparative study of performance statistics used in ambulance location models via simulation–optimization Operations Research For Health Care. 11: 1-12
Toro-Díaz H, Mayorga ME, McLay LA, et al. (2015) Reducing disparities in large-scale emergency medical service systems Journal of the Operational Research Society. 66: 1169-1181
Saydam C, Rajagopalan HK, Sharer E, et al. (2013) The dynamic redeployment coverage location model Health Systems. 2: 103-119
Rajagopalan HK, Saydam C, Setzler H, et al. (2012) Decision making for emergency medical services International Series in Operations Research and Management Science. 167: 275-296
Rajagopalan HK, Saydam C, Setzler H, et al. (2011) Ambulance Deployment and Shift Scheduling: An Integrated Approach Journal of Service Science and Management. 4: 66-78
Khouja M, Rajagopalan HK, Sharer EE. (2010) Coordination and incentives in a supplier-retailer rental information goods supply chain International Journal of Production Economics. 123: 279-289
Rajagopalan HK, Saydam C. (2009) A minimum expected response model: Formulation, heuristic solution, and application Socio-Economic Planning Sciences. 43: 253-262
Rajagopalan HK, Saydam C, Xiao J. (2008) A multiperiod set covering location model for dynamic redeployment of ambulances Computers and Operations Research. 35: 814-826
Rajagopalan HK, Vergara FE, Saydam C, et al. (2007) Developing effective meta-heuristics for a probabilistic location model via experimental design European Journal of Operational Research. 177: 83-101
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