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A Stochastic Model of Demand Forecasting for Technical Manpower Planning

Author

Listed:
  • N. K. Kwak

    (Saint Louis University)

  • Walter A. Garrett, Jr.

    (Saint Louis University)

  • Sam Barone

    (Wright State University)

Abstract

This paper presents a stochastic technique for short-term demand forecasting of manpower requirements for a particular functional skin group. The demand model is adaptable to any organization in which the demand for services from a skill group is derived from several projects or activities. Working from these multi-project demands for skill group services, Bayesian decision analysis is used to produce a composite forecast of total skill group manpower demand. Options in the model provide for selectively varying the number and level of detail of the multi-project demand curves. The output of the model is useful for further manpower planning.

Suggested Citation

  • N. K. Kwak & Walter A. Garrett, Jr. & Sam Barone, 1977. "A Stochastic Model of Demand Forecasting for Technical Manpower Planning," Management Science, INFORMS, vol. 23(10), pages 1089-1098, June.
    • Handle: RePEc:inm:ormnsc:v:23:y:1977:i:10:p:1089-1098
    DOI: 10.1287/mnsc.23.10.1089
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    Cited by:

    1. Soong Chung & Doo Jung & Seong Yoon & DonHee Lee, 2010. "A dynamic forecasting model for nursing manpower requirements in the medical service industry," Service Business, Springer;Pan-Pacific Business Association, vol. 4(3), pages 225-236, December.
    2. Dimitrova, Dimitrina S. & Ignatov, Zvetan G. & Kaishev, Vladimir K. & Tan, Senren, 2020. "On double-boundary non-crossing probability for a class of compound processes with applications," European Journal of Operational Research, Elsevier, vol. 282(2), pages 602-613.

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