通过弹性休息分配优化医生日程安排

IF 6.7 2区 管理学 Q1 MANAGEMENT
Sebastian Kraul , Melanie Erhard , Jens O. Brunner
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引用次数: 0

摘要

本文介绍了一种新颖的模式,用于根据德国一家教学医院的规定为医生建立双周花名册,同时确保休息时间的可行性。目前,花名册都是由经验丰富、具备基本电子表格知识的医生手工编制的,由于问题的复杂性和医生各自的工作条件,导致了大量的成本和时间消耗。遗憾的是,人工生成的花名册经常不符合劳动法规和人体工程学协议,导致潜在的加班时间和员工不满。一个特别令人担忧的问题是,医生无法强制休息,这对员工的积极性和医院的服务水平都产生了负面影响。为了应对这些挑战,我们提出了一个以数据为驱动的医生排班问题,将超员和加班时间作为主要的成本驱动因素,并将轮班偏好和休息可行性作为人体工程学目标。我们开发并训练了一个生存回归模型来预测休息时间的可行性,使从业人员能够适当地定义休息时间窗口。鉴于标准求解器在合理时间内生成高质量解决方案方面的局限性,我们采用了 Dantzig-Wolfe 分解法来重新表述所提出的模型。此外,我们还开发了一种分支-价格算法来实现最优解,并引入了针对特定问题的变量选择策略来实现高效分支。为了评估该算法的有效性并检验新的中断分配约束的影响,我们利用一家德国培训医院的实际数据进行了全面的计算研究。利用我们的方法,医疗机构可以简化名册编制流程,最大限度地降低与人员过剩和加班时间相关的成本,并通过确保医生能够依法休息来提高员工满意度。最终,这将有助于提高员工的积极性,并改善医院的整体服务水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing physician schedules with resilient break assignments

This article presents a novel model for building biweekly rosters for physicians according to the regulations of a German teaching hospital, while also ensuring the viability of breaks. Currently, rosters are manually prepared by experienced physicians with basic spreadsheet knowledge, leading to significant costs and time consumption because of the complexity of the problem and the individual working conditions of the physicians. Unfortunately, manually generated rosters frequently prove to be non-compliant with labor regulations and ergonomic agreements, resulting in potential overtime hours and employee dissatisfaction. A particular concern is the inability of physicians to take mandatory breaks, which negatively affects both employee motivation and the hospital service level. To address these challenges, we propose a data-driven formulation of an operational physician scheduling problem, considering overstaffing and overtime hours as primary cost drivers and integrating shift preferences and break viability as ergonomic objectives. We develop and train a survival regression model to predict the viability of breaks, allowing practitioners to define break-time windows appropriately. Given the limitations of standard solvers in producing high-quality solutions within a reasonable timeframe, we adopt a Dantzig–Wolfe decomposition to reformulate the proposed model. Furthermore, we develop a branch-and-price algorithm to achieve optimal solutions and introduce a problem-specific variable selection strategy for efficient branching. To assess the algorithm’s effectiveness and examine the impact of the new break assignment constraint, we conducted a comprehensive computational study using real-world data from a German training hospital. Using our approach, healthcare institutions can streamline the rostering process, minimize the costs associated with overstaffing and overtime hours, and improve employee satisfaction by ensuring that physicians can take their legally mandated breaks. Ultimately, this contributes to better employee motivation and improves the overall level of hospital service.

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来源期刊
Omega-international Journal of Management Science
Omega-international Journal of Management Science 管理科学-运筹学与管理科学
CiteScore
13.80
自引率
11.60%
发文量
130
审稿时长
56 days
期刊介绍: Omega reports on developments in management, including the latest research results and applications. Original contributions and review articles describe the state of the art in specific fields or functions of management, while there are shorter critical assessments of particular management techniques. Other features of the journal are the "Memoranda" section for short communications and "Feedback", a correspondence column. Omega is both stimulating reading and an important source for practising managers, specialists in management services, operational research workers and management scientists, management consultants, academics, students and research personnel throughout the world. The material published is of high quality and relevance, written in a manner which makes it accessible to all of this wide-ranging readership. Preference will be given to papers with implications to the practice of management. Submissions of purely theoretical papers are discouraged. The review of material for publication in the journal reflects this aim.
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