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TITLE: Integrated Stochastic Resource Planning of Human Capital Supply Chains
SPEAKER: Mark Squillante
ABSTRACT:
We consider an integrated suite of mathematical models and methods that supports the effective and efficient management and planning of human capital supply chains by addressing distinct features and characteristics of human talent and skills which cannot be handled via traditional supply chain management. This consists of solutions for (1) statistical forecasting of future demand and human-talent requirements, (2) risk-based stochastic human-talent capacity planning, (3) stochastic modeling and optimization/control of human-talent supply evolutionary dynamics over time, (4) optimal multiskill supply-demand matching, and (5) stochastic optimization of business decisions and investments to manage human-talent shortages and overages. These solutions include contributions in the areas of stochastic models and stochastic optimization/control. The suite of models and methods constitutes an end-to-end framework that has been deployed as an important part of a human talent management and planning process within IBM.
