IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v35y1987i1p100-110.html
   My bibliography  Save this article

A Modular Approach to Optimal Multiple-Shift Manpower Scheduling

Author

Listed:
  • R. N. Burns

    (Queen's University, Kingston, Ontario, Canada)

  • G. J. Koop

    (Queen's University, Kingston, Ontario, Canada)

Abstract

This paper introduces a practical approach to multiple-shift manpower scheduling by presenting an algorithm that applies the approach to a large and common class of problems. The algorithm constructs schedules that utilize no more than the minimum number of workers necessary for a schedule satisfying constraints that include two offdays each week, a specified number of offweekends in any fixed number of consecutive weekends, a maximum of six consecutive work shifts and different staffing demands for each type of shift. We discuss the application of the approach to several other classes of manpower scheduling problems.

Suggested Citation

  • R. N. Burns & G. J. Koop, 1987. "A Modular Approach to Optimal Multiple-Shift Manpower Scheduling," Operations Research, INFORMS, vol. 35(1), pages 100-110, February.
  • Handle: RePEc:inm:oropre:v:35:y:1987:i:1:p:100-110
    DOI: 10.1287/opre.35.1.100
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.35.1.100
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.35.1.100?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
    ---><---

    Citations

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


    Cited by:

    1. Elín Björk Böðvarsdóttir & Niels-Christian Fink Bagger & Laura Elise Høffner & Thomas J. R. Stidsen, 2022. "A flexible mixed integer programming-based system for real-world nurse rostering," Journal of Scheduling, Springer, vol. 25(1), pages 59-88, February.
    2. Cipriano Santos & Tere Gonzalez & Haitao Li & Kay-Yut Chen & Dirk Beyer & Sundaresh Biligi & Qi Feng & Ravindra Kumar & Shelen Jain & Ranga Ramanujam & Alex Zhang, 2013. "HP Enterprise Services Uses Optimization for Resource Planning," Interfaces, INFORMS, vol. 43(2), pages 152-169, April.
    3. Hertz, Alain & Lahrichi, Nadia & Widmer, Marino, 2010. "A flexible MILP model for multiple-shift workforce planning under annualized hours," European Journal of Operational Research, Elsevier, vol. 200(3), pages 860-873, February.
    4. Jaumard, Brigitte & Semet, Frederic & Vovor, Tsevi, 1998. "A generalized linear programming model for nurse scheduling," European Journal of Operational Research, Elsevier, vol. 107(1), pages 1-18, May.
    5. Michael J. Brusco & Larry W. Jacobs, 1998. "Personnel Tour Scheduling When Starting-Time Restrictions Are Present," Management Science, INFORMS, vol. 44(4), pages 534-547, April.
    6. Cambini, Riccardo & Riccardi, Rossana, 2009. "Theoretical and algorithmic results for a class of hierarchical fleet mix problems," European Journal of Operational Research, Elsevier, vol. 198(3), pages 741-747, November.
    7. Narasimhan, Rangarajan, 1997. "An algorithm for single shift scheduling of hierarchical workforce," European Journal of Operational Research, Elsevier, vol. 96(1), pages 113-121, January.
    8. Cheang, B. & Li, H. & Lim, A. & Rodrigues, B., 2003. "Nurse rostering problems--a bibliographic survey," European Journal of Operational Research, Elsevier, vol. 151(3), pages 447-460, December.
    9. Easton, F. F. & Rossin, D. F., 1997. "Overtime schedules for full-time service workers," Omega, Elsevier, vol. 25(3), pages 285-299, June.
    10. Azmat, Carlos S. & Widmer, Marino, 2004. "A case study of single shift planning and scheduling under annualized hours: A simple three-step approach," European Journal of Operational Research, Elsevier, vol. 153(1), pages 148-175, February.
    11. Millar, Harvey H. & Kiragu, Mona, 1998. "Cyclic and non-cyclic scheduling of 12 h shift nurses by network programming," European Journal of Operational Research, Elsevier, vol. 104(3), pages 582-592, February.
    12. B Maenhout & M Vanhoucke, 2009. "The impact of incorporating nurse-specific characteristics in a cyclical scheduling approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(12), pages 1683-1698, December.
    13. G Laporte & G Pesant, 2004. "A general multi-shift scheduling system," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(11), pages 1208-1217, November.

    More about this item

    Keywords

    581 manpower scheduling;

    Statistics

    Access and download statistics

    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:inm:oropre:v:35:y:1987:i:1:p:100-110. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.