期刊
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
卷 230, 期 3, 页码 643-655出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ejor.2013.04.040
关键词
Scheduling; Combinatorial optimization; Emergency response
资金
- UKs EPSRC [EP/G057516/1]
- Engineering and Physical Sciences Research Council [EP/G057516/1] Funding Source: researchfish
- EPSRC [EP/G057516/1] Funding Source: UKRI
During the emergency response to mass casualty incidents decisions relating to the extrication, treatment and transporting of casualties are made in a real-time, sequential manner. In this paper we describe a novel combinatorial optimization model of this problem which acknowledges its temporal nature by employing a scheduling approach. The model is of a multi-objective nature, utilizing a lexicographic view to combine objectives in a manner which capitalizes on their natural ordering of priority. The model includes pertinent details regarding the stochastic nature of casualty health, the spatial nature of multi-site emergencies and the dynamic capacity of hospitals. A Variable Neighborhood Descent metaheuristic is employed in order to solve the model. The model is evaluated over a range of potential problems, with results confirming its effective and robust nature. (C) 2013 The Authors. Published by Elsevier B.V. All rights reserved.
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