Behind-the-Scenes Weight Tuning for applied nurse rostering

IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES Operations Research for Health Care Pub Date : 2020-09-01 DOI:10.1016/j.orhc.2020.100265
Elín Björk Böðvarsdóttir , Pieter Smet , Greet Vanden Berghe
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引用次数: 2

Abstract

Although researchers have developed countless nurse rostering algorithms throughout the years, the paradigm of manual scheduling continues to hinder their application in practice. While manual scheduling gives practitioners full control in assigning nurses to shifts based on their knowledge of the personnel, it has some severe drawbacks. Manual scheduling is tremendously time-consuming and often fails to reach organizational targets, as practitioners need to address numerous constraints and objectives, which frequently conflict with one another. Until now, most nurse rostering formulations have employed weighted sum objective functions that rely on manually-set weights. Understanding the impact of those weights, and thus selecting appropriate values for them, is not trivial. Consequently, the optimization objective often does not capture the desired outcome, resulting in poor quality rosters with an unacceptable combination of constraint violations. This paper introduces a general methodology, Behind-the-Scenes Weight Tuning, which uses measurable targets for guidance in order to automatically set weights. As the methodology does not require practitioners to provide accurate objective weights, the level of manual effort is substantially reduced. Outcome of experiments has shown that by enabling the computer to make quantitatively-supported decisions in this manner, we consistently obtain better rosters than when relying on practitioners to set appropriate weights.

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幕后体重调整应用护士名册
尽管研究人员多年来开发了无数的护士名册算法,但人工调度的范式仍然阻碍了它们在实践中的应用。虽然手动调度给从业者完全控制分配护士轮班根据他们的人员的知识,它有一些严重的缺点。手动调度非常耗时,并且经常不能达到组织目标,因为从业者需要处理大量的约束和目标,这些约束和目标经常相互冲突。到目前为止,大多数护士名册公式已采用加权和目标函数,依赖于手动设置的权重。理解这些权重的影响,并因此为它们选择合适的值,并不是微不足道的。因此,优化目标通常不能获得期望的结果,从而导致质量差的名单和不可接受的违反约束的组合。本文介绍了一种通用的方法,幕后权重调优,它使用可测量的目标为指导,以自动设置权重。由于该方法不需要从业者提供准确的客观权重,因此大大减少了手工工作的水平。实验结果表明,通过使计算机以这种方式做出定量支持的决策,我们始终获得比依赖从业者设置适当权重时更好的名单。
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来源期刊
Operations Research for Health Care
Operations Research for Health Care HEALTH CARE SCIENCES & SERVICES-
CiteScore
3.90
自引率
0.00%
发文量
9
审稿时长
69 days
期刊最新文献
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