This course consists of two major parts. The first one provides an overview of mathematical programming models and algorithms. Main topics include optimization theory, nonlinear and linear programming, logic and disjunctions, mixed-integer linear and nonlinear programming, global optimization. The second part focuses on the application of mathematical programming in planning and scheduling. Topics include discrete and continuous time mixed-integer models for batch and continuous processes, sequential and network topologies, cyclic scheduling, production planning and its integration with scheduling, supply chain optimization, planning models for oil and gas oil fields.
This course consists of two major parts. The first one provides an overview of mathematical programming models and algorithms. Main topics include optimization theory, nonlinear and linear programming, logic and disjunctions, mixed-integer linear and nonlinear programming, global optimization. The second part focuses on the application of mathematical programming in planning and scheduling. Topics include discrete and continuous time mixed-integer models for batch and continuous processes, sequential and network topologies, cyclic scheduling, production planning and its integration with scheduling, supply chain optimization, planning models for oil and gas oil fields.
