Model-Driven Objective Functions in MPC using Economic Engineering Systems Theory: With an Application to Supply-Chain Scheduling at Shell

This thesis introduces a theory for model-driven objective functions in Model Predictive Control (MPC) algorithms. For scheduling supply chains, such model-driven objective functions allow the MPC algorithm to make optimal scheduling decisions by anticipating future changes in product flow and transfer price dynamics. Including such dynamics...