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This article series implements a staff scheduling model in Excel using OpenSolver, then in Python using Pyomo.
The selection of a better fantasy sports team can substantially improve performance. Excel plus OpenSolver can pick an optimal team.
This series of 13 articles compares Python libraries Pyomo, PuLP, OR-Tools, Gekko, CVXPY, and SciPy for building a linear programming model.
Job sequencing is a common problem. Excel Solver can help managers make optimal job sequencing decisions to minimize cost.
We've collated many interesting optimization models in our GitHub repository. The focus is on Excel and Python models.
Crossword puzzles are a popular pastime. We design and build Mixed Integer Linear Programming models to compile crossword puzzles.
Formulating logic conditions in linear programs can be difficult. This two-part article series explains how, using easy to follow steps.
We estimate the speed improvement for optimization solvers in the 35 years from 1989 to 2024. The results may be surprising.