A Probabilistic Location Model for an Emergency Medical Service System

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Locating emergency service facilities is an interesting problem. Planners do not know definitely, where emergencies will take place and, consequently, struggle to find a location that proficiently ensures the risk of poor service to any specific emergency is minimized. This paper is concerned with the formulation and the solution of a probabilistic model for determining the optimal location of emergency medical services (EMS) that supports servicing patients from different demand points in its area, as well as transportation costs, capacities of service stations, outsourcing costs and probabilities. In this regard, we propose a mixed integer non-linear programming (MINLP) model and solve the represented model by means both exact and Meta heuristic solution approaches. Then we will assess the performnace of our Meta-heuristic algorithm in contrast with the outputs from the exact solution approach.
Over the last 100 years, quality of life and human continued existence have improved in most of the mechanized world because of progresses in human health. We have promoted from reduced exposure to disease, and developed treatments that reduce the consequences of exposed disease. Nevertheless, individuals continue to suffer because they do not have access to appropriate healthcare, or since healthcare is provided in a way that is bewildering or inefficient. Consequently, there exists a large gap between the science and the practice of healthcare.
This study is dedicated to enlightening healthcare through reducing the delays experienced by patients. One aspect of this objective is to help improving the flow of patients with the purpose of reduce experiencing unnecessary waits as they flow through a healthcare system. Another aspect is...

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Rosenhead, J., Elton, M. & Gupta, S. K., 1972. Robustness and optimality as criteria for strategic decisions. Operational Research Quarterly, 23(4), pp. 413-431.
Sheppard, E. S., 1974. A conceptual framework for dynamic location-allocation analysis. allocation analysis A, Volume 6, pp. 547-564.
Shortell, S. & Kaluzny, A., 2000. HealthCare Management. 4th ed. New York: Delmar Publishers Inc..
Snyder, L. V., 2006. Facility location under uncertainty: a review. IIE Transactions, Volume 38, pp. 537-554.
Wan, T. T. H., 2002. Evidence-based health caremanagement. 1st ed. New York: Springer.
Weaver, J. R. & Church, R. L., 1983. Computational procedures for location problems on stochastic networks. Trnasportation Science, 17(2), pp. 168-180.
Ye, Q., Song, J., Yang, Z. & Wang, L., 2011. Emergency Vehicle Location Model and Algorithm Under Uncertainty. Beijing, IEEE.

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