Process Inspection and Data Collection for Manufacturing

Manufacturing systems of the future will be characterized by the individualization of products, early detection, diagnosis of faults, forecast of equipment damage, loss of performance and profits and even more. Nowadays, based on informatics evolution and its application in industrial area, the so-called Smart Manufacturing (SM) has promised to ensure self-optimizing manufacturing in industry by its potential such as maintaining reliability of equipment. For this purpose, in this article the benefits and challenges of self-optimizing manufacturing concept regarding its capability and responsibility are presented describing the adaptation to changing manufacturing environment. The idea of the work is to obtain data, needed for Key Performance Indicators (KPIs) calculation, then to apply IIoT solutions for collecting, visualizing and store the information for further analysis. The major and desired effects are: the time decrease for decision taking, product quality improvement, delivery on time and product cost.