HACKATHON DANONE AI MASTERS OPOLE 2019

The aim of challenge is to develop a model of dependencies between the parameters of the technological process. The parameters of this challenge have been divided into three attribute groups.

Input data - related to quality parameters of raw materials used in production.

Process data - related to controlled (modifiable) parameters of the production process.

Output data - related to the quality of the final product.

The idea of ​​the challenge is to find possible correlations between all parameters, so that it is possible to build a function allowing precise control over the output parameters by adjusting the process controll parameters.
Obtain maximum Moisture value (5%) with maintaining optimum value of Bulk density.

F(proces parameters) = Out parameters

Please see below the entire process definitione with parameters explained.

Important

Participants will get virtual machines (Ubuntu Server) with a set of tools installed and a database (MS SQL) along with a ready sample of data