Author: Wang, Wei
Title: EMS location-allocation problem under uncertainties
Advisors: Wang, Shuaian Hans (LMS)
Degree: M.Phil.
Year: 2022
Subject: Ambulance service
Emergency medical services
Transport of sick and wounded
Hong Kong Polytechnic University -- Dissertations
Department: Department of Logistics and Maritime Studies
Pages: 39 pages : color illustrations
Language: English
Abstract: Emergency especially routine emergency that happens on a daily basis poses great threat to our health, life, and property. Immediate response and treatment can greatly mitigate these threats. This research optimizes location of ambulance stations, deployment of ambulances, and vehicle dispatching under demand and traffic uncertainty, which are the main factors that influence response time. The problem is formulated as a dynamic scenario-based two-stage stochastic programming model with the aim of minimizing total cost under service level requirements and is solved by Sample Average Approximation. Finally, we conduct numerical experiments using real-world emergency data to evaluate the performance of our methods, which yields valuable managerial insights for the design of EMS response system.
Rights: All rights reserved
Access: open access

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