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A scatter search methodology for the nurse rostering problem.

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Title: A scatter search methodology for the nurse rostering problem.
Authors: Burke, E. K.1, Curtois, T.1 tec@cs.nott.ac.uk, Qu, R.1, Berghe, G. Vanden2
Source: Journal of the Operational Research Society. Nov2010, Vol. 61 Issue 11, p1667-1679. 13p. 4 Charts, 9 Graphs.
Subjects: Supervision of nurses, Hospital waiting lists, Scattering (Mathematics), Mathematical models, Quality of service
Abstract: The benefits of automating the nurse scheduling process in hospitals include reducing the planning workload and associated costs and being able to create higher quality and more flexible schedules. This has become more important recently in order to retain nurses and to attract more people into the profession. Better quality rosters also reduce fatigue and stress due to overwork and poor scheduling and help to maximise the use of leisure time by satisfying more requests. A more contented workforce will lead to higher productivity, increased quality of patient service and a better level of healthcare. This paper presents a scatter search approach for the problem of automatically creating nurse rosters. Scatter search is an evolutionary algorithm, which has been successfully applied across a number of problem domains. To adapt and apply scatter search to nurse rostering, it was necessary to develop novel implementations of some of scatter search's subroutines. The algorithm was then tested on publicly available real-world benchmark instances and compared against previously published approaches. The results show the proposed algorithm is a robust and effective method on a wide variety of real-world instances. [ABSTRACT FROM AUTHOR]
Copyright of Journal of the Operational Research Society is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: A scatter search methodology for the nurse rostering problem.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Operational+Research+Society%22">Journal of the Operational Research Society</searchLink>. Nov2010, Vol. 61 Issue 11, p1667-1679. 13p. 4 Charts, 9 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Supervision+of+nurses%22">Supervision of nurses</searchLink><br /><searchLink fieldCode="DE" term="%22Hospital+waiting+lists%22">Hospital waiting lists</searchLink><br /><searchLink fieldCode="DE" term="%22Scattering+%28Mathematics%29%22">Scattering (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+of+service%22">Quality of service</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: The benefits of automating the nurse scheduling process in hospitals include reducing the planning workload and associated costs and being able to create higher quality and more flexible schedules. This has become more important recently in order to retain nurses and to attract more people into the profession. Better quality rosters also reduce fatigue and stress due to overwork and poor scheduling and help to maximise the use of leisure time by satisfying more requests. A more contented workforce will lead to higher productivity, increased quality of patient service and a better level of healthcare. This paper presents a scatter search approach for the problem of automatically creating nurse rosters. Scatter search is an evolutionary algorithm, which has been successfully applied across a number of problem domains. To adapt and apply scatter search to nurse rostering, it was necessary to develop novel implementations of some of scatter search's subroutines. The algorithm was then tested on publicly available real-world benchmark instances and compared against previously published approaches. The results show the proposed algorithm is a robust and effective method on a wide variety of real-world instances. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Journal of the Operational Research Society is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=54709384
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      – Type: doi
        Value: 10.1057/jors.2009.118
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 1667
    Subjects:
      – SubjectFull: Supervision of nurses
        Type: general
      – SubjectFull: Hospital waiting lists
        Type: general
      – SubjectFull: Scattering (Mathematics)
        Type: general
      – SubjectFull: Mathematical models
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      – SubjectFull: Quality of service
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      – TitleFull: A scatter search methodology for the nurse rostering problem.
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            NameFull: Curtois, T.
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            NameFull: Qu, R.
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              M: 11
              Text: Nov2010
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              Y: 2010
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