A hybrid genetic approach for solving an integrated multi-objective operating room planning and scheduling problem
A hybrid genetic approach for solving an integrated multi-objective operating room planning and scheduling problem
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DOI：
10.1016/j.cor.2016.11.009
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发表时间：
2017-11-01
影响因子：
4.6
通讯作者：
Conforti, Domenico
中科院分区：
文献类型：
--
作者：
Guido, Rosita;Conforti, Domenico
在本文中，我们提出了一个多目标整数线性规划模型，旨在有效地规划和管理医院手术室套房。通过有效地利用一种新的混合遗传解决方案的方法，设计的优化模型是能够确定，在一个集成的方式，（i）手术室时间分配给每个外科专业，（ii）手术室时间分配给每个手术团队，（iii）手术入院计划和（iv）手术调度。由此产生的帕累托边界提供了一组“最优”的解决方案，能够支持医院管理者有效地协调所涉及的资源和规划外科医生和手术。在此基础上，建议的解决方案框架可以代表一个合适的引擎，先进的和有效的医疗管理决策支持系统的发展。(C)2016爱思唯尔有限公司版权所有
In this paper, we propose a multi-objective integer linear programming model aiming at efficiently planning and managing hospital operating room suites. By effectively exploiting a novel hybrid genetic solution approach, the devised optimization model is able to determine, in an integrated way, (i) the operating room time assigned to each surgical specialty, (ii) the operating room time assigned to each surgical team, (iii) the surgery admission planning and (iv) the surgery scheduling. The resulting Pareto frontiers provide a set of "optimal" solutions able to support hospital managers in efficiently orchestrating the involved resources and planning surgeons and surgeries. On this basis, the proposed solution framework could represent a suitable engine for the development of advanced and effective health care management decision support systems. (C) 2016 Elsevier Ltd. All rights reserved.