Soumyadip Ghosh, Yingdong Lu, et al.
Journal of Applied Analysis
A framework for unified decision making under uncertainty that supports financial planning, operations management, and risk management for workforce applications is proposed and analyzed. The management of enterprise workforce is conducted at the granularity of cohorts of individuals with similar attributes of interest. A time inhomogeneous Markov chain is developed to model the evolution of these cohorts over time. Stochastic control problems based on versions of the controlled Markov chain are formulated to maximize profit under a set of workforce decisions. Extensive data analysis and innovative computational approaches enable us to solve these stochastic control problems for large-scale systems, with real-world business case studies demonstrating the use of this unified decision support capability for large-scale enterprises.
Soumyadip Ghosh, Yingdong Lu, et al.
Journal of Applied Analysis
Pavithra Harsha, Mayank Sharma, et al.
IEEE Transactions on Smart Grid
Jianying Hu, Yingdong Lu, et al.
Performance Evaluation Review
Kyomin Jung, Yingdong Lu, et al.
SIGMETRICS 2008