This series explores optimization of a "picking warehouse" by improving the warehouse design and efficiency of the picking process.
This series of 13 articles compares Python libraries Pyomo, PuLP, OR-Tools, Gekko, CVXPY, and SciPy for building a linear programming model.
Optimal facility location is a common & difficult decision that organizations need to make. We build a location optimization model in Excel.
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.
The selection of a better fantasy sports team can substantially improve performance. Excel plus OpenSolver can pick an optimal team.
Bin packing is a common optimization problem. A new formulation helps us solve a simple, yet difficult to solve, bin packing model.
We estimate the speed improvement for optimization solvers in the 35 years from 1989 to 2024. The results may be surprising.
Crossword puzzles are a popular pastime. We design and build Mixed Integer Linear Programming models to compile crossword puzzles.