We explore two aspects of refactoring an existing optimization model: Modularization and adding model variations.
This series explores optimization of a "picking warehouse" by improving the warehouse design and efficiency of the picking process.
The selection of a better fantasy sports team can substantially improve performance. Excel plus OpenSolver can pick an optimal team.
We minimize trim waste in a paper manufacturing process. A theoretically perfect solution is impractical, so what can we do?
We estimate the speed improvement for optimization solvers in the 35 years from 1989 to 2024. The results may be surprising.
Why does my model find different solutions? Some solutions are better than others – how can that be true? How do I find the overall best solution?
Designing an optimization model is difficult. This article explains common mathematical notation used to define optimization model formulations.
Sometimes we need more power to solve a model. This article describes how to solve a model using the CPLEX solver via the NEOS Server.