We compare a linear programming model written using Julia/JuMP with the same model written using Python/Pyomo.
This article series implements a staff scheduling model in Excel using OpenSolver, then in Python using Pyomo.
We've collated links to dozens of websites about optimization modelling. The links are organized into several categories.
We minimize trim waste in a paper manufacturing process. A theoretically perfect solution is impractical, so what can we do?
We explore two aspects of refactoring an existing optimization model: Modularization and adding model variations.
Job sequencing is a common problem. Excel Solver can help managers make optimal job sequencing decisions to minimize cost.
We estimate the speed improvement for optimization solvers in the 35 years from 1989 to 2024. The results may be surprising.
To compare optimization modelling in Excel and Python, we replicate a Python model then compare it with an equivalent Excel implementation.