We experiment with the new Python in Excel feature, building and solving a linear program using the Python SciPy library.
Job sequencing is a common problem. Excel Solver can help managers make optimal job sequencing decisions to minimize cost.
We explore methods to decide the best order for positioning devices in a rack: enumeration, heuristics, constraint programming, and linear programming.
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.
Given available stock of wire and a list of pieces required, what is the best way to cut the stock to fulfil demand while minimizing waste?
Given available resources, what mix of products will maximize profit? We can answer to question using Excel and the Solver add-in.
This series of 13 articles compares Python libraries Pyomo, PuLP, OR-Tools, Gekko, CVXPY, and SciPy for building a linear programming model.
We've collated links to dozens of websites about optimization modelling. The links are organized into several categories.