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Indexed by:Journal Papers

Date of Publication:2015-12-01

Journal:ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH

Included Journals:SCIE、EI、Scopus

Volume:32

Issue:6

ISSN No.:0217-5959

Key Words:Emergency management; scheduling optimization; triage of casualty; mortalities; job shop scheduling; genetic algorithm

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.