Formulating a linear programming problem requires identifying the decision variables, the objective function, and the constraints that apply to the problem.

Learn how to identify and resolve infeasibility in linear programming problems using common methods and tools. Avoid infeasibility by following best practices.

We introduce a novel linear programming approach to the maximum lifetime routing problem. To the best of our knowledge, this is the first mathematical programming of the maximum lifetime routing ...

Job-shop scheduling is an important but difficult problem arising in low-volume high-variety manufacturing. It is usually solved at the beginning of each shift with strict computational time ...

Industrial Process and Energy Systems Engineering, École Polytechnique Fédérale de Lausanne, Sion, Switzerland This research presents a mathematical formulation for optimizing integration of complex ...

Duration: 4 hours. This module will cover integer linear programming and its use in solving NP-hard (combinatorial optimization) problems. We will cover some examples of what integer linear ...