Proceedings Article | 2 March 2023
Theodor Bratu, George Suciu, Cornelia Alexandru, Romulus Cheveresan
KEYWORDS: Manufacturing, Sensors, Data modeling, Artificial intelligence, Defect detection, Networks, Internet, Inspection, Image analysis
The fourth Industrial Revolution (Industry 4.0) has been used to describe the digitalization of industry, which will inaugurate integrated marketplaces and supply chains, an era of automated systems, interconnected factories, and advanced technologies that will combine the physical, digital, and biological worlds. In order to advance in this new paradigm, European industry must develop decentralized, self-organizing intelligence at the factory level, network-driven value chain integration, disruptive digital technologies, and sustainable manufacturing strategies and methodologies. It is critical that the shift to cyber-physical systems occurs without a loss of productivity, and that companies are incentivized, benefit from decreased cycle time and production costs, higher yield performance, and greater energy efficiency and sustainability. In this paper we will present 3 projects that we were part of: Multi-AI, ADMA TranS4MErs and SMART-PDM. ADMA TranS4MErs will help factories transition to Industry 4.0 by addressing environmental, digital and societal concerns, Multi- AI will bring a defect detection and anomaly prediction solution and SMART-PDM will give diagnosis and prognosis information. All these solutions will not only change how factories work, but will decrease costs, there will be less waste, parts used and there will also be improvements in quality of the products that leave the factories.
