TY - JOUR
AU - J. J. Glen, C. L. Yang
AB - In optimization models of hierarchical manpower systems, the numbers promoted from each of the grades in a time period are normally considered as decision variables. As a result, promotion rates, defined in terms of the proportions of staff promoted, can vary substantially from period to period in these models. Policies of this type may be unacceptable in practice because of their adverse impact on staff morale. In this paper, a mixed integer programming (MIP) manpower planning model is developed for determining minimum-cost manpower policies in which promotion rates remain stable while satisfying specified manpower requirements over the planning period. In this MIP model, promotion rates are considered as decision variables by using binary variables, and the model is solved by using an iterative procedure. The use of the approach is illustrated with representative data for a military system. © 1996 Oxford University Press « Previous | Next Article » Table of Contents This Article IMA J Management Math (1996) 7 (3): 197-206. doi: 10.1093/imaman/7.3.197 » Abstract Free Full Text (PDF) Free Classifications Article Services Article metrics Alert me when cited Alert me if corrected Find similar articles Similar articles in Web of Science Add to my archive Download citation Request Permissions Citing Articles Load citing article information Citing articles via CrossRef Citing articles via Scopus Citing articles via Web of Science Citing articles via Google Scholar Google Scholar Articles by Glen, J. J. Articles by Yang, C. L. Search for related content Related Content Load related web page information Share Email this article CiteULike Delicious Facebook Google+ Mendeley Twitter What's this? 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TI - A model for promotion rate control in hierarchical manpower systems
JF - IMA Journal of Management Mathematics
DO - 10.1093/imaman/7.3.197
DA - 1996-07-01
UR - https://www.deepdyve.com/lp/oxford-university-press/a-model-for-promotion-rate-control-in-hierarchical-manpower-systems-e0ZXDf6p7K
SP - 197
VL - 7
IS - 3
DP - DeepDyve
ER -