The scope is that of the “continuous improvement” of production and services processes, to increase the competitiveness of companies in an increasingly global market. This area is strongly impacted by Industry 4.0 Technology.
BigData enhances the patrimony of Operational Data (digitized data of each individual component of the production process) by comparing data from other sources (maintenance, sales, external standards) with traditional technical-economic models (mathematical, thermodynamic, chemical) and innovative (Artificial Intelligence, Machine Learning).
In an interconnected world, unscheduled production/service disruptions have become unsustainable for industrial companies and therefore preventing failures is a must. To avoid failures of a plant or its critical components, predictive maintenance techniques are adopted such as advanced diagnostics, historical analysis of failures and, recently Machine Learning and artificial intelligence methodologies applied to the data describing the behaviors of objects.