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Staff scheduling in elderly care - A simulation study of trade-offs
Linköping University, Department of Mathematics, Optimization . Linköping University, The Institute of Technology.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Numerous studies have been done in the area of nurse scheduling, since this is a complex area with a lot of aspects that has to be taken into account. An interesting but little studied subject is how the requirements for the scheduling affect the possibility to construct a feasible schedule, or how the requirements affect the quality of the schedule. Of special interest is the effect of the composition of the workforce and of the change in scheduling rules. What is missing is results showing which composition and changes that are possible, and if so what is needed to be able to follow through with them.

The changes tested in our simulation study are changes that is up for discussion at many wards in Sweden today, with topics such as split shifts and high part-time work percentages within the staff. In order to simulate various scheduling requirements and changes, an integer linear model for creating nurse schedules is developed. The results provide some insight into the dependence between scheduling requirements and the resulting schedules. In particular our simulation results indicate that there is an inherent conflict between high part-time work percentages and split or long work shifts. Our results can be used as a basis for future research on these topics in the area of nurse scheduling.

Place, publisher, year, edition, pages
2015. , 57 p.
Keyword [en]
Nurse scheduling, Nurse rostering, Causality relationships, Split shifts, Long shifts, Workforce composition, Integer linear programming.
National Category
URN: urn:nbn:se:liu:diva-115754ISRN: LiTH-MAT-EX--2015/02--SEOAI: diva2:796283
Subject / course
Available from: 2015-03-18 Created: 2015-03-18 Last updated: 2015-03-19Bibliographically approved

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Håkansson, Rebecka
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Optimization The Institute of Technology

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