IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v18y1988i1p57-73.html
   My bibliography  Save this article

The US Army's Occupational Specialty Manpower Decision Support System

Author

Listed:
  • Amir Eiger

    (General Research Corporation, Westgate Research Park, McLean, Virginia 22102)

  • Jonathan M. Jacobs

    (General Research Corporation, Westgate Research Park, McLean, Virginia 22102)

  • Donald B. Chung

    (US Army Command and Staff College, Leavenworth, Kansas 66207)

  • James L. Selsor

    (ANSER, Inc., 1215 Jefferson Davis Highway, Arlington, Virginia 22202)

Abstract

The Military Occupational Specialty Level System (MOSLS) of the US Army's enlisted force manpower decision support system (DSS) was developed to support programming and planning decisions in the areas of recruitment, training and education, promotion, reclassification and reenlistment, and separation and retirement. The DSS contains a combined linear optimization-simulation personnel flow model. The flow simulation is used as a controlling mechanism to stabilize the optimizer's results and to reflect in greater detail those facets of personnel management that cannot be modeled within a linear programming framework either because of problem size limitations or accuracy considerations. The models can be exercised in a what-if mode where policy can be modified and the predicted effects evaluated. The system is supported by a state-of-the-art, on-line data base and various support software permitting statistical analysis, report generation, and direct data base query.

Suggested Citation

  • Amir Eiger & Jonathan M. Jacobs & Donald B. Chung & James L. Selsor, 1988. "The US Army's Occupational Specialty Manpower Decision Support System," Interfaces, INFORMS, vol. 18(1), pages 57-73, February.
  • Handle: RePEc:inm:orinte:v:18:y:1988:i:1:p:57-73
    DOI: 10.1287/inte.18.1.57
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.18.1.57
    Download Restriction: no

    File URL: https://libkey.io/10.1287/inte.18.1.57?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
    ---><---

    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:orinte:v:18:y:1988:i:1:p:57-73. 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.