Control of production process in the semi-conductor industry

The team of Grenoble INP developed this nugget about control of a production process in the
semi-conductor industry.

Learning outcomes of this nugget are to model a data analytics problem, chose a suitable method/algorithm for data analytics in complex and big data context, and propose a suitable analysis based on data analytics methods.

The impact of dependency in variable variability will be
learned and how to identify this. An example about average temperatures in Manaus (Brazil) and Paris (France) is used to explain.

One of the reasons for failure on simulation methods is assuming independent relation, while there is dependent variability.