Real-world optimization problems with mixed-integer linear programming technology

Mixed-integer linear programming is not only an academic concern. It is currently adding value to thousands of companies across the globe by providing solutions to complex decision problems. Mixed-integer linear programming solutions are employed to solve strategic decision-making, as well as operational planning problems.

In this tutorial, we will provide you with the opportunity to formulate mixed-integer linear programming problems within a web-based modeling environment and solve these problems with Gurobi, the fastest mixed-integer programming solver in the world. For this purpose, attendees will make use of an internet browser – no installation of software or licenses will be required.

The following activities will form part of the tutorial agenda.

• Getting acquainted with the modeling environment.
• Making use of binary and integer decision variables for logical decision-making.
• Formulating a well-known combinatorial optimization problem.
• Introducing concepts of strong MIP formulations to improve computing performance.
• Accessing and executing the optimization model from within Excel.

The trial accounts for the modeling environment will still be available for use by the attendees upon completion of the tutorial.