IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v155y2007i1p41-4910.1007-s10479-007-0208-y.html
   My bibliography  Save this article

A stochastic manpower planning model under varying class sizes

Author

Listed:
  • Asis Chattopadhyay
  • Arindam Gupta

Abstract

Solution related to different types of manpower planning problems arising in different industries and organizations are very much helpful for proper planning and implementation of different objectives. Previously those type of problems are mostly solved under the deterministic set up. Gradually several scientists have developed different types of stochastic models appropriate for solving such types of problems. The present study is an attempt to develop a stochastic manpower planning model under the set up where the classes are of varying sizes and promotion occurs only on the basis of seniority. Copyright Springer Science+Business Media, LLC 2007

Suggested Citation

  • Asis Chattopadhyay & Arindam Gupta, 2007. "A stochastic manpower planning model under varying class sizes," Annals of Operations Research, Springer, vol. 155(1), pages 41-49, November.
  • Handle: RePEc:spr:annopr:v:155:y:2007:i:1:p:41-49:10.1007/s10479-007-0208-y
    DOI: 10.1007/s10479-007-0208-y
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10479-007-0208-y
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10479-007-0208-y?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.

    References listed on IDEAS

    as
    1. T. T. Abodunde & S. I. McClean, 1980. "Production Planning for a Manpower System with a Constant Level of Recruitment," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(1), pages 43-49, March.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Edouard Ribes, 2020. "Organizational sustainability and career frameworks in professional services firms," Economics Bulletin, AccessEcon, vol. 40(1), pages 880-889.
    2. Mariel Lavieri & Martin Puterman, 2009. "Optimizing nursing human resource planning in British Columbia," Health Care Management Science, Springer, vol. 12(2), pages 119-128, June.
    3. Guy C. Huntsinger & Roger Chapman Burk & Timothy E. Trainor, 2012. "The US Army Projects the Effect of Merit Pay on Payroll Growth," Interfaces, INFORMS, vol. 42(4), pages 395-405, August.
    4. Tim De Feyter & Marie-Anne Guerry & Komarudin, 2017. "Optimizing cost-effectiveness in a stochastic Markov manpower planning system under control by recruitment," Annals of Operations Research, Springer, vol. 253(1), pages 117-131, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:155:y:2007:i:1:p:41-49:10.1007/s10479-007-0208-y. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.