Optimal facility location is a common & difficult decision that organizations need to make. We build a location optimization model in Excel.

We estimate the speed improvement for optimization solvers in the 35 years from 1989 to 2024. The results may be surprising.

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

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

This article replicates and extends a transportation optimization model for managing a COVID-19 vaccination plan in Hong Kong.

Designing an optimization model is difficult. This article explains common mathematical notation used to define optimization model formulations.

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

A new role mining model is claimed to be more tractable and practical. We test that assertion using constraint programming and MILP.

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

This series of 13 articles compares Python libraries Pyomo, PuLP, OR-Tools, Gekko, CVXPY, and SciPy for building a linear programming model.

Formulating logic conditions in linear programs can be difficult. This two-part article series explains how, using easy to follow steps.

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.