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Developing Talent from a Supplya??Demand Perspective: An Optimization Model for Managers

机译：从供需角度发展人才：经理的优化模型

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While executives emphasize that human resources (HR) are a firma??s biggest asset, the level of research attention devoted to planning talent pipelines for complex global organizational environments does not reflect this emphasis. Numerous challenges exist in establishing human resource management strategies aligned with strategic operations planning and growth strategies. We generalize the problem of managing talent from a supplya??demand standpoint through a resource acquisition lens, to an industrial business case where an organization recruits for multiple roles given a limited pool of potential candidates acquired through a limited number of recruiting channels. In this context, we develop an innovative analytical model in a stochastic environment to assist managers with talent planning in their organizations. We apply supply chain concepts to the problem, whereby individuals with specific competencies are treated as unique products. We first develop a multi-period mixed integer nonlinear programming model and then exploit chance-constrained programming to a linearized instance of the model to handle stochastic parameters, which follow any arbitrary distribution functions. Next, we use an empirical study to validate the model with a large global manufacturing company, and demonstrate how the proposed model can effectively manage talents in a practical context. A stochastic analysis on the implemented case study reveals that a reasonable improvement is derived from incorporating randomness into the problem.
机译：尽管高管强调人力资源（HR）是企业的最大资产，但致力于为复杂的全球组织环境规划人才管道的研究关注水平却没有反映出这种强调。建立与战略运营计划和增长战略保持一致的人力资源管理战略时，存在许多挑战。从供应需求的角度，通过资源获取的角度，我们将人才管理的问题概括为一个工业商业案例，在该商业案例中，组织通过有限数量的招聘渠道获得了有限的潜在候选人，从而招聘了多个职位。在这种情况下，我们在随机环境中开发了一种创新的分析模型，以帮助经理制定组织中的人才计划。我们将供应链概念应用于该问题，从而将具有特定能力的个人视为独特的产品。我们首先开发一个多周期混合整数非线性规划模型，然后将机会约束规划用于模型的线性化实例，以处理随机参数，该随机参数遵循任意分布函数。接下来，我们使用经验研究来与一家大型的全球制造公司一起验证该模型，并演示所提出的模型如何在实际情况下有效地管理人才。对已实施的案例研究的随机分析表明，将随机性纳入问题可以得出合理的改进。

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