Scheduling elective and emergency surgeries at shared operating rooms with emergency uncertainty and waiting time limit

启发式 调度(生产过程) 择期手术 计算机科学 时限 运筹学 地铁列车时刻表 急诊外科 动态优先级调度 运营管理 工程类 医学 外科 系统工程 操作系统
作者
Hongru Miao,Jianjun Wang
出处
期刊:Computers & Industrial Engineering [Elsevier BV]
卷期号:160: 107551-107551 被引量:21
标识
DOI:10.1016/j.cie.2021.107551
摘要

While timely emergency OR access is strictly required in many specialties, this paper provides a highly responsive preventive-reactive scheduling procedure to address emergency arrivals with waiting time limits before and on surgery day with no assumption on the emergency arrival patterns. To improve responsiveness in situations where existing break-in-moments-based scheduling does not perform well, a MIP model is first developed to generate initial schedules by making ex-ante preparations for future possible arrivals with the objective of minimizing the sacrifice in the throughput of elective surgeries. For applicability, two additional heuristics, which are derived from the MIP model but include other scheduling ideas, are also designed for preventive scheduling. Furthermore, as a supplement to preventive scheduling, a corresponding reactive scheduling method is designed to be applied on surgery day. Facing different emergency realizations, it provides effective and satisfactory adjustments on surgery day by scheduling arrived emergencies timely, properly updating the remaining schedule to prepare for subsequent arrivals with consideration of minimizing the adjusting impact on scheduled elective cases. The effectiveness and performances of the proposed procedures and heuristics are evaluated in comparison with traditional preventive and reactive scheduling strategies through simulations and statistical tests. The numerical results show that the methods developed in this study can significantly improve the responsiveness with an acceptable sacrifice in OR utilization and can provide satisfactory schedules for both types of patients. Some scheduling guidelines based on simulation results and the applicability of the proposed scheduless are also discussed at the end of this study.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
DONNYTIO完成签到,获得积分10
刚刚
开心超人发布了新的文献求助10
刚刚
万能图书馆应助月白采纳,获得10
刚刚
1秒前
CodeCraft应助胖子一个采纳,获得10
1秒前
英俊的铭应助勤奋无敌采纳,获得10
1秒前
1秒前
123应助若非菜孰愿弟采纳,获得10
3秒前
3秒前
llly发布了新的文献求助10
4秒前
4秒前
blt完成签到,获得积分10
4秒前
生动枫发布了新的文献求助10
5秒前
桐桐应助团子采纳,获得10
5秒前
p1发布了新的文献求助10
6秒前
6秒前
7秒前
8秒前
9秒前
DONNYTIO发布了新的文献求助10
9秒前
9秒前
研友_VZG7GZ应助酷酷采纳,获得10
9秒前
活力涟妖发布了新的文献求助10
11秒前
月白发布了新的文献求助10
12秒前
星辰大海应助辛勤的平露采纳,获得10
12秒前
12秒前
12秒前
轻舟轻舟发布了新的文献求助20
13秒前
14秒前
zzbyxh发布了新的文献求助20
14秒前
科研通AI2S应助Yzh666采纳,获得20
14秒前
nan完成签到 ,获得积分10
14秒前
嗝嗝完成签到,获得积分10
15秒前
xiajinjin完成签到,获得积分10
16秒前
16秒前
无名发布了新的文献求助10
17秒前
ssssyyn发布了新的文献求助10
18秒前
可爱的函函应助Dawn采纳,获得10
18秒前
18秒前
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Introducing the Learning Sciences 600
Resiliency Scale for Adolescents--Chinese Version 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7322171
求助须知:如何正确求助?哪些是违规求助? 8937608
关于积分的说明 18948674
捐赠科研通 6979994
什么是DOI,文献DOI怎么找? 3214923
关于科研通互助平台的介绍 2382478
邀请新用户注册赠送积分活动 2194151