This article presents a modeling approach to tackle the multidimensional military manpower planning problem. 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. Moreover, they include ensuring that the personnel allocated to the various roles of the defence force will be adequate throughout the planning period. Addressing these tasks simultaneously represents a significant challenge for human resources managers. This paper proposes a model that assigns personnel to career paths (CPs) pre-defined as feasible prior to optimization. Adequate solutions through this model are generated by mixed integer goal programming. 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. 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.

中文翻译：

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基于职业路径方法的多维军事人力规划

本文提出了一种解决多维军事人力规划问题的建模方法。与军事人力规划有关的要求包括需要在可接受的标准范围内维持与职业发展有关的人力特征（例如等级和年龄）分布。此外，它们还包括确保在整个计划期间分配给国防军各种角色的人员都足够。同时完成这些任务对于人力资源经理来说是一个巨大的挑战。本文提出了一个模型，该模型将人员分配给在优化之前预先定义为可行的职业道路。通过该模型的充分解决方案是通过混合整数目标编程生成的。这种解决方法适用于比利时国防人员的案例研究，并为军事人力资源经理提供了宝贵的见解。为了说明我们的方法，我们将重点放在军事组织上，但是它可以用于任何等级的组织，例如警察部队或大学。