IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v127y2004i1p359-37210.1023-banor.0000019096.58882.54.html
   My bibliography  Save this article

Multi-Skilled Workforce Optimisation

Author

Listed:
  • Guy Eitzen
  • David Panton
  • Graham Mills

Abstract

This paper describes a problem faced by CS Energy's Swanbank Power Station in the Australian state of Queensland. It involved the personnel scheduling (rostering) of staff with multiple skill levels at the power station. Such a problem can be classified using the six stage construction process proposed by Ernst et al. We assume that the three processes of ‘demand modelling,’ ‘shift starting times’ and ‘task scheduling’ are specified. We are concerned with the essential processes of ‘day off scheduling,’ ‘line of work construction’ and ‘shift assignment to staff’ with requirements to maintain multiple skills. Several other authors have reported results for staff with hierarchical skills while the methods proposed in this paper are for non-hierarchical skill sets. The paper describes a set covering approach to the multi-skilled rostering problem. We propose a number of solution strategies for the set covering approach and give a comparison of the results. Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • Guy Eitzen & David Panton & Graham Mills, 2004. "Multi-Skilled Workforce Optimisation," Annals of Operations Research, Springer, vol. 127(1), pages 359-372, March.
  • Handle: RePEc:spr:annopr:v:127:y:2004:i:1:p:359-372:10.1023/b:anor.0000019096.58882.54
    DOI: 10.1023/B:ANOR.0000019096.58882.54
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/B:ANOR.0000019096.58882.54
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1023/B:ANOR.0000019096.58882.54?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gérard, Matthieu & Clautiaux, François & Sadykov, Ruslan, 2016. "Column generation based approaches for a tour scheduling problem with a multi-skill heterogeneous workforce," European Journal of Operational Research, Elsevier, vol. 252(3), pages 1019-1030.
    2. Salem Al-Yakoob & Hanif Sherali, 2007. "Mixed-integer programming models for an employee scheduling problem with multiple shifts and work locations," Annals of Operations Research, Springer, vol. 155(1), pages 119-142, November.
    3. Lin, Shih-Wei & Ying, Kuo-Ching, 2014. "Minimizing shifts for personnel task scheduling problems: A three-phase algorithm," European Journal of Operational Research, Elsevier, vol. 237(1), pages 323-334.
    4. S M Al-Yakoob & H D Sherali, 2008. "A column generation approach for an employee scheduling problem with multiple shifts and work locations," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(1), pages 34-43, January.
    5. Ladier, Anne-Laure & Alpan, Gülgün & Penz, Bernard, 2014. "Joint employee weekly timetabling and daily rostering: A decision-support tool for a logistics platform," European Journal of Operational Research, Elsevier, vol. 234(1), pages 278-291.
    6. Dohn, Anders & Mason, Andrew, 2013. "Branch-and-price for staff rostering: An efficient implementation using generic programming and nested column generation," European Journal of Operational Research, Elsevier, vol. 230(1), pages 157-169.
    7. Abdul Waheed & Majed Alharthi & Sher Zaman Khan & Muhammad Usman, 2022. "Role of Industry 5.0 in leveraging the Business Performance: Investigating Impact of Shared-Economy on Firms’ Performance with Intervening Role of i5.0 Technologies," SAGE Open, , vol. 12(2), pages 21582440221, April.
    8. Mark W. Isken & Osman T. Aydas, 2022. "A tactical multi-week implicit tour scheduling model with applications in healthcare," Health Care Management Science, Springer, vol. 25(4), pages 551-573, December.
    9. Marta Rocha & José Oliveira & Maria Carravilla, 2014. "A constructive heuristic for staff scheduling in the glass industry," Annals of Operations Research, Springer, vol. 217(1), pages 463-478, June.
    10. Cao, Nguyen Vi & Fragniere, Emmanuel, 2014. "A Service Production Planning Model Integrating Human Risk Factors," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Next Generation Supply Chains: Trends and Opportunities. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 18, volume 18, pages 345-359, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    11. Van den Bergh, Jorne & Beliën, Jeroen & De Bruecker, Philippe & Demeulemeester, Erik & De Boeck, Liesje, 2013. "Personnel scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 226(3), pages 367-385.
    12. De Bruecker, Philippe & Van den Bergh, Jorne & Beliën, Jeroen & Demeulemeester, Erik, 2015. "Workforce planning incorporating skills: State of the art," European Journal of Operational Research, Elsevier, vol. 243(1), pages 1-16.
    13. Wang, Wenshu & Xie, Kexin & Guo, Siqi & Li, Weixing & Xiao, Fan & Liang, Zhe, 2023. "A shift-based model to solve the integrated staff rostering and task assignment problem with real-world requirements," European Journal of Operational Research, Elsevier, vol. 310(1), pages 360-378.
    14. Adibah Shuib & Faiq Izzuddin Kamarudin, 2019. "Solving shift scheduling problem with days-off preference for power station workers using binary integer goal programming model," Annals of Operations Research, Springer, vol. 272(1), pages 355-372, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:127:y:2004:i:1:p:359-372:10.1023/b:anor.0000019096.58882.54. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.