Release Time:2019-03-09  Hits:

Indexed by: Journal Papers

Date of Publication: 2015-12-01

Journal: ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH

Included Journals: Scopus、EI、SCIE

Volume: 32

Issue: 6

ISSN: 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.