In: Encyclopedia of operations research and management science, Springer, USA, pp 910–912īastian ND, Mcmurry P, Fulton LV, Griffin PM, Cui S, Srinivas S (2015) The AMEDD uses goal programming to optimize workforce planning decisions.
In: Proceedings of the 30th international conference of the system dynamics society, number 1īartholomew DJ (2013) Manpower planning. In: Proceedings - winter simulation conference, pp 2187–2195Īrmenia S, Centra A, Cesarotti V, Angelis AD, Retrosi C (2012) Military workforce dynamics and planning in the Italian AirForce. For the illustration of our approach, we focus on a military organization, but it could be used for any hierarchical organization, such as a police force or a university.Īn L, Jeng JJ, Lee YM, Ren C (2007) Effective workforce lifecycle management via System Dynamics modeling and simulation.
This solving approach is applied to a case study of the Belgian Defence’s manpower and results in valuable insights for military human resources managers. Adequate solutions through this model are generated by mixed integer goal programming. This paper proposes a model that assigns personnel to career paths (CPs) pre-defined as feasible prior to optimization. Addressing these tasks simultaneously represents a significant challenge for human resources managers. Moreover, they include ensuring that the personnel allocated to the various roles of the defence force will be adequate throughout the planning period.
Requirements relevant to military manpower planning include the need to maintain distributions of manpower characteristics (such as rank and age) with respect to career advancement within acceptable proximity to desired norms. This article presents a modeling approach to tackle the multidimensional military manpower planning problem.