Triage Scheduling Optimization for Mass Casualty and Disaster Response

被引：5
|
作者：
Chu, Xiang [1 ,2 ]
Zhong, Qiu-Yan [1 ]
Khokhar, Shahid G. [1 ]
机构：
[1] Dalian Univ Technol, Sch Management Sci & Engn, Dalian 116024, Peoples R China
[2] Dalian Inst Software & Serv Outsourcing, Dalian 116024, Peoples R China
来源：
ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH | 2015年 / 32卷 / 06期
基金：
美国国家科学基金会;
关键词：
Emergency management; scheduling optimization; triage of casualty; mortalities; job shop scheduling; genetic algorithm; EMERGENCY RESPONSE; IMPATIENT JOBS; CREATING ORDER; PART II; SHOP; MEDICINE; RESOURCE; CHAOS; CARE;
D O I：
10.1142/S0217595915500414
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
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.
引用
收藏
页数：20
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