Solver Max - Discord Operations Research

This Discord provides a place to discuss Operations Research topics, such as optimization, simulation, solvers, etc.

Channels include:

Showcasing work.
Asking questions.
Learning resources.
Jobs.
Sharing lecture slides.

See: Discord Operations Research.

Essential reading

We replicate a wood cutting pattern model from a published academic paper. Surprisingly, we find a better optimal solution.
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.
The selection of a better fantasy sports team can substantially improve performance. Excel plus OpenSolver can pick an optimal team.
Designing an optimization model is difficult. This article explains common mathematical notation used to define optimization model formulations.
We describe an example of how to represent price breaks in a linear programming model, built in Excel using Solver or OpenSolver.
This series explores optimization of a "picking warehouse" by improving the warehouse design and efficiency of the picking process.
We experiment with the new Python in Excel feature, building and solving a linear program using the Python SciPy library.
Given available resources, what mix of products will maximize profit? We can answer to question using Excel and the Solver add-in.
Why does my model find different solutions? Some solutions are better than others – how can that be? How do I find the best solution?
We've collated links to dozens of websites about optimization modelling. The links are organized into several categories.
To compare optimization modelling in Excel and Python, we replicate a Python model then compare it with an equivalent Excel implementation.

Discord Operations Research

Essential reading

Latest blog articles

Latest resources

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