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Combining workload balance and patient priority maximisation in operating room planning through hierarchical multi-objective optimisation
European Journal of Operational Research ( IF 6.4 ) Pub Date : 2021-07-24 , DOI: 10.1016/j.ejor.2021.07.033
Roberto Aringhieri 1 , Davide Duma 1, 2 , Paolo Landa 3 , Simona Mancini 4, 5
Affiliation  

Previous analysis suggested the opportunity to consider the preferences of different stakeholders (hospital, patients, doctors and nurses) through the adoption of both patient priority maximisation and workload balance as performance criteria. The aim of this paper is to develop an effective and efficient solution approach for the operating room planning and scheduling capable to take into account the patient priority maximisation and workload balance criteria at the same time. This work is inspired by the need of a deeper understanding of the quality of the solutions obtained when a combination of the two criteria leads the OR planning decisions. Starting from a hierarchical multi-objective optimisation model for the combined master surgical scheduling and surgical cases assignment problems, we develop a class of new multi-neighbourhood local search based matheuristic algorithms, whose main feature is to exploit an ad hoc neighbourhood to generate better solutions in a significant shorter running time. A broad quantitative analysis on new realistic instances proves the effectiveness and the efficiency of the proposed matheuristic algorithms as well as to evaluate the quality of the computed solution from an operating room management perspective.



中文翻译:

通过分层多目标优化在手术室规划中结合工作量平衡和患者优先级最大化

先前的分析表明,通过采用患者优先级最大化和工作量平衡作为绩效标准,有机会考虑不同利益相关者(医院、患者、医生和护士)的偏好。本文的目的是开发一种有效且高效的手术室规划和调度解决方案,能够同时考虑患者优先级最大化和工作量平衡标准。这项工作的灵感来自需要更深入地了解当两个标准的组合导致 OR 规划决策时获得的解决方案的质量。从组合主手术调度和手术病例分配问题的分层多目标优化模型开始,我们开发了一类新的基于多邻域局部搜索的数学算法,其主要特征是利用临时邻域在显着更短的运行时间内生成更好的解决方案。对新现实实例的广泛定量分析证明了所提出的数学算法的有效性和效率,并从手术室管理的角度评估了计算解决方案的质量。

更新日期:2021-07-25
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