# Optimization approaches[¶](https://www.dataiku.com/product/plugins/optimization-approaches/)

## This plugin provides a Jupyter notebook template to optimize transport in a network using linear programming[¶](https://www.dataiku.com/product/plugins/optimization-approaches/)

In many business applications, the prediction is only the starting point. For instance, if we have a model that predicts stocks in different warehouses, we still need to see how to best optimize the transport between the warehouses.    This plugin provides a template notebook that shows how to optimize transport in a network using linear programming with Pyomo.

## Plugin Information[¶](https://www.dataiku.com/product/plugins/optimization-approaches/)

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| Version | 0.0.2 |

| Author | Dataiku (Pierre Pfennig & Du Phan) |

| Released | 2018-08-01 |

| Last updated | 2018-08-01 |

### Install In DSS[¶](https://www.dataiku.com/product/plugins/optimization-approaches/)

To install the plugin, open the  Apps menu, click Plugins and search for Optimization approaches.

Alternatively, you can download a zipped version here.

### Get the Dataiku Data Sheet[¶](https://www.dataiku.com/product/plugins/optimization-approaches/)

Learn everything you ever wanted to know about Dataiku (but were afraid to ask), including detailed specifications on features and integrations.
