The selection of a better fantasy sports team can substantially improve performance. Excel plus OpenSolver can pick an optimal team.
We experiment with the new Python in Excel feature, building and solving a linear program using the Python SciPy library.
We replicate a wood cutting pattern model from a published academic paper. Surprisingly, we find a better optimal solution.
We compare a linear programming model written using Julia/JuMP with the same model written using Python/Pyomo.
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?
Bin packing is a common optimization problem. A new formulation helps us solve a simple, yet difficult to solve, bin packing model.
We present an example of project crashing using an optimization model to help the project manager decide what to do.
Formulating logic conditions in linear programs can be difficult. This two-part article series explains how, using easy to follow steps.