Simulation-based optimal tuning of model predictive control policies for supply chain management using simultaneous perturbation stochastic approximation

Jay D. Schwartz, Daniel E. Rivera. Simulation-based optimal tuning of model predictive control policies for supply chain management using simultaneous perturbation stochastic approximation. In American Control Conference, ACC 2006, Minneapolis, MN, USA, 14-16 June, 2006. IEEE, 2006. [doi]

Abstract

Abstract is missing.