Job sequencing is a common problem. Excel Solver can help managers make optimal job sequencing decisions to minimize cost.
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.
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.
We've collated many interesting optimization models in our GitHub repository. The focus is on Excel and Python models.
Formulating logic conditions in linear programs can be difficult. This two-part article series explains how, using easy to follow steps.
We explore two aspects of refactoring an existing optimization model: Modularization and adding model variations.
To compare optimization modelling in Excel and Python, we replicate a Python model then compare it with an equivalent Excel implementation.