Why does my model find different solutions? Some solutions are better than others – how can that be? How do I find the best solution?

Job sequencing is a common problem. Excel Solver can help you make optimal job sequencing decisions to minimize cost.

We minimize trim waste in a paper manufacturing process. A theoretically perfect solution is impractical, so what can we do?

This article series implements a staff scheduling model in Excel using OpenSolver, then in Python using Pyomo.

We explore methods to decide the best order for positioning devices in a rack: enumerate, heuristic, constraint programming, and linear program.

We run optimization model cases 10 times faster, fully using the parallel capabilities of the CPU cores/threads in a modern computer.

To compare optimization modelling in Excel and Python, we replicate a Python model then compare it with an equivalent Excel implementation.

Academic research papers can be tremendously valuable. But only if they are complete. So, academics, please publish your data and code.

Crossword puzzles are a popular pastime. We design and build Mixed Integer Linear Programming models to compile crossword puzzles.

Using the SciPy library, we find an optimal solution to Aryabhata's approximation of trigonometric functions using ratios of quadratic polynomials.

We experiment with the new Python in Excel feature, building and solving a linear program using the Python SciPy library.

We compare a linear programming model written using Julia/JuMP with the same model written using Python/Pyomo.