We minimize trim waste in a paper manufacturing process. A theoretically perfect solution is impractical, so what can we do?
How many other optimal solutions exist? How do I find those solutions. This article explains how to use the CPLEX solution pool.
Designing an optimization model is difficult. This article explains common mathematical notation used to define optimization model formulations.
This series of 13 articles compares Python libraries Pyomo, PuLP, OR-Tools, Gekko, CVXPY, and SciPy for building a linear programming model.
Given available resources, what mix of products will maximize profit? We can answer to question using Excel and the Solver add-in.
Crossword puzzles are a popular pastime. We design and build Mixed Integer Linear Programming models to compile crossword puzzles.
To compare optimization modelling in Excel and Python, we replicate a Python model then compare it with an equivalent Excel implementation.
We've collated many interesting optimization models in our GitHub repository. The focus is on Excel and Python models.