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.

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

Explore our innovative technique for solving intuitionistic fuzzy linear programming problems without the need for existing rankings ... The advantage of the IFO problem is two-fold: they give a rich ...

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 ...

These 0-1 programming problems initially could not be solved with any standard techniques. We employed several approaches to take advantage of the hierarchical structure of variables (ordered by ...

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