Nurse scheduling problem by considering fuzzy modeling approach to treat uncertainty on nurses’ preferences for working shifts and weekends off

Q2 Engineering

Journal of Optimization in Industrial Engineering Pub Date : 2019-09-22 DOI:10.22094/JOIE.2019.576759.1595

H. Jafari, H. Haleh

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引用次数: 5

Abstract

Nowadays, the nurse scheduling problem (NSP) has attracted a great amount of attentions. In this problem,the nurses are scheduled to be assigned to the shifts by considering the required nurses for each day during the planning horizon. In the current study, a bi-objective mathematical model is formulated in order to maximize the preferences of the nurses to work on the shifts in addition to be off on the weekends. In real-world problems, higher quality schedules are provided considering the uncertainty. In this point of view, we investigate the uncertainty on the preferences of the nurses for the working shifts and the weekends off. In fact, a compensatory fuzzy approach based on the Werners’ fuzzy and operator is proposed to investigate the effects of the uncertainty on the considered research problem. Then, several sample problems are generated to support the efficiency of the developed fuzzy model. Finally, a sensitivity analysis is implemented to determine the effects of the changes of the parameters on the obtained results.

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采用模糊建模方法处理护士轮班和周末休假偏好的不确定性

目前，护士调度问题引起了人们的广泛关注。在这个问题中，通过考虑在计划范围内每天所需的护士来安排护士分配到班次。在目前的研究中，为了最大限度地提高护士在轮班工作和周末休息的偏好，制定了一个双目标数学模型。在实际问题中，考虑到不确定性，提供了更高质量的进度表。从这个角度来看，我们调查了护士对轮班和周末休息偏好的不确定性。实际上，提出了一种基于Werners模糊和算子的补偿模糊方法来研究不确定性对所考虑的研究问题的影响。然后，生成了几个示例问题，以支持所开发的模糊模型的有效性。最后进行了灵敏度分析，以确定参数变化对所得结果的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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