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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 48878 (01)
- University: Sharif University of Technology
- Department: Industrial Engineering
- Advisor(s): Rafiee, Majid
- Abstract:
- The aim of Emergency Medical Services (EMS) is to provide fast medical care and to transport patients to hospitals at the earliest possible time, so as to reduce injury and fatality rate. Healthcare managers try to improve healthcare systems by reducing the response time to demands. In this thesis, we present mathematical models for the problem of location and relocation of emergency vehicles after the end of their service time or after they have returned to a hospital. We believe that implementing these models can help managers improve the performance of emergency medical services. In the first part of this study, we present a two-level deterministic optimization model considering demand points and emergency stations; then we present a three-level formulation of the same deterministic model that considers demand points, emergency stations and hospitals. In order to fully represent real world conditions, these models are defined in a multi-period way and in real-time. The objective function is to minimize response time and the return time of emergency vehicles. Because of the uncertain nature of emergency demand at demand points and in different periods, in the second part we present the two-level and three-level uncertain formulation of these models using Robust Optimization framework. For validation of models and testing their performance, numerous numerical examples are solved by each model. All of the numerical examples are solved by Optimization Programming Language (OPL) and CPLEX 12.6 software
- Keywords:
- Location ; Emergency Medical Services ; Uncertainty ; Health Care System ; Emergency Vehicle
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