refinery#

Oil refinery production optimization#

Notebooks > Oil refinery production optimization
oil_refining.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: In this document, we present an enhanced approach to oil refining optimization for improved decision-making.
Tags: oil-production, production-optimization, profitability, refinery, mip, highs, industry, json, spreadsheet, excel
Author: Mikhail Riabtsev (14 notebooks) <mail@solverytic.com>

Oil refinery production optimization (+PowerBI)#

Notebooks > Oil refinery production optimization (+PowerBI)
oil_refining_powerbi.ipynb Open In Colab
Description: In this document, we present an enhanced approach to oil refining optimization by integrating Power BI for improved decision-making and data visualization. For a full description of the model, you can read more about it [here](ampl/colab.ampl.com).
Tags: oil-production, production-optimization, profitability, refinery, mip, highs, powerbi, industry, scheduling, data-science, data-analysis, decision-making
Author: Mikhail Riabtsev (14 notebooks) <mail@solverytic.com>

Oil refinery production optimization (ampl-only version)#

Notebooks > Oil refinery production optimization (ampl-only version)
oil_refining_ampl_only.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: In this document, we present an enhanced approach to oil refining optimization for improved decision-making.
Tags: oil-production, production-optimization, profitability, refinery, mip, ampl-only, highs, industry
Author: Mikhail Riabtsev (14 notebooks) <mail@solverytic.com>

Refinery production and shadow pricing#

Notebooks > Refinery production and shadow pricing
refinery-production.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: This is a simple linear optimization problem in six variables, but with four equality constraints it allows for a graphical explanation of some unusually large shadow prices for manufacturing capacity. See other examples at [MO-BOOK: Hands-On Mathematical Optimization with AMPL in Python](https://ampl.com/mo-book/).
Tags: amplpy, cbc, finance, refinery, dual-values, shadow-prices
Author: Marcos Dominguez Velad (35 notebooks) <marcos@ampl.com>