A generalized linear programming model for nurse scheduling

Jaumard, Brigitte; Semet, Frédéric; Vovor, T

doi:10.1016/s0377-2217(97)00330-5

Cited by 175 publications

(77 citation statements)

References 13 publications

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“…The properties and structure of the mid term planning problem makes it well suited for addressing with operations research methodology, and a lot of research has been carried out within this field during the last five decades. Some examples can be found in Dowsland [8], Dowsland and Thompson [9], Bard and Purnomo [3], Berrada et al [5], and Jaumard et al [16].…”

Section: The Mid Term Planningmentioning

confidence: 99%

Automating the self-scheduling process of nurses in Swedish healthcare: a pilot study

Rönnberg

Larsson

2009

Health Care Manag Sci

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Hospital wards need to be staffed by nurses round the clock, resulting in irregular working hours for many nurses. Over the years, the nurses' influence on the scheduling has been increased in order to improve their working conditions. In Sweden it is common to apply a kind of self-scheduling where each nurse individually proposes a schedule, and then the final schedule is determined through informal negotiations between the nurses. This kind of self-scheduling is very time-consuming and does often lead to conflicts.We present a pilot study which aims at determining if it is possible to create an optimisation tool that automatically delivers a usable schedule based on the schedules proposed by the nurses. The study is performed at a typical Swedish nursing ward, for which we have developed a mathematical model and delivered schedules. The results of this study are very promising.

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Section: The Mid Term Planningmentioning

confidence: 99%

Automating the self-scheduling process of nurses in Swedish healthcare: a pilot study

Rönnberg

Larsson

2009

Health Care Manag Sci

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“…Operations research methodology is well suited to addressing the mid-term planning problem, and a lot of research has been carried out within this field during the last five decades. Some examples can be found in Dowsland [9], Dowsland and Thompson [10], Bard and Purnomo [3], Berrada et al [5], and Jaumard et al [17].…”

Section: Mid-term Planningmentioning

confidence: 99%

Automatic Scheduling of Nurses: What Does It Take in Practice?

Rönnberg

Larsson

Bertilsson

2012

Systems Analysis Tools for Better Health Care Delivery

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Abstract:Many hospital wards need to be staffed by nurses around the clock every day of the year, and because of that, many nurses have to work irregular hours and according to schedules that have a great impact on their personal lives. Today most schedules are made by hand or with limited computer support, and this is both difficult and very time consuming. A common consequence of making the schedules by hand is that the outcome is neither favourable for the nurses nor satisfactory for the running of the ward. The nurse scheduling problem is well suited for addressing with operations research methods, but a challenge for automated scheduling of nurses is the ability to adapt the scheduling to the specific conditions on each ward. The intention of this paper is to provide a piece of practical experience that can help bridge the gap between advanced method development and the use of automatic nurse scheduling in practice. Our approach is to take on the real life scheduling problem with all its details, and to use a straightforward meta-heuristic in order to deliver automatically generated schedules. The contribution of the paper is based on the result of two case studies, which will provide insights into examples of real world nurse scheduling, including evaluation and feedback from the wards.

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“…[33]), health care (medical, nursery shift scheduling) (see, e.g. [34,35]), and many other cases where shift scheduling planning has been revealing an important component of ongoing productivity improvement.…”

Section: Introductionmentioning

confidence: 99%

Workforce planning in a lotsizing mail processing problem

Júdice

Martins

Nunes³

2005

Computers & Operations Research

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The treatment of mail objects in a mail processing centre involves many operations, in particular sorting by destination. Out of the batching problem that we can identify in such a process, there are also sta planning concerns. In this paper, we analyse a treatment area (registered mail) belonging to a mail processing center, where mail objects are treated in a chain production process. The production quantities and the transfer amounts among machines are required to be determined along the daily work period. The objective is to minimize the costs with human resources needed in the process, linked with the lotsizing production plan, by matching sta to work requirements. This leads into a lotsizing and workforce problem, for which we propose an integer programming formulation. A case study of a particular treatment area is also discussed. The formulation is adjusted to the speciÿc constraints of this case study and some computational results are included, considering average, small and high daily amounts of mail arrived to that particular treatment area. ?

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A generalized linear programming model for nurse scheduling

Cited by 175 publications

References 13 publications

Automating the self-scheduling process of nurses in Swedish healthcare: a pilot study

Automating the self-scheduling process of nurses in Swedish healthcare: a pilot study

Automatic Scheduling of Nurses: What Does It Take in Practice?

Workforce planning in a lotsizing mail processing problem

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