Triage Scheduling Optimization for Mass Casualty and Disaster Response

Xiang Chu, Qiu-Yan Zhong () and Shahid G. Khokhar ()
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Xiang Chu: School of Management Science and Engineering, Dalian University of Technology, Dalian 116024, P. R. China2Dalian Institute of Software and Services Outsourcing, 116024 Dalian, P. R. China
Qiu-Yan Zhong: School of Management Science and Engineering, Dalian University of Technology, Dalian 116024, P. R. China
Shahid G. Khokhar: School of Management Science and Engineering, Dalian University of Technology, Dalian 116024, P. R. China

Asia-Pacific Journal of Operational Research (APJOR), 2015, vol. 32, issue 06, 1-20

Abstract: This paper discusses casualty and medical group scheduling for disaster response in order to reduce casualities. First, triage levels and their stochastic transition, Markov Chain, are introduced to establish a function from treated time to probability of death. Then, job shop scheduling model and a genetic algorithm are designed. Finally, we performed a simulation experiment, partially using real data of 5.12 Wenchuan earthquakes for reference. The results show that the algorithm reduces number of mortalities stably and efficiently while considering disturbance events.

Keywords: Emergency management; scheduling optimization; triage of casualty; mortalities; job shop scheduling; genetic algorithm (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1142/S0217595915500414

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