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George Michalos mapped on
Quick response service deployment for maintaining optimal manufacturing operations using trusted AI and digital twins
General desciption of Quick response service deployment for maintaining optimal manufacturing operations using trusted AI and digital twins:
- Manufacturing equipment or associated service providers need to provide continuous support to manufacturing companies in obtaining the best possible performance from their manufacturing assets, even in changing conditions (such as deviating characteristics of materials).
- The continuous optimal use of manufacturing assets needs to be addressed from the manufacturing process level up to the workplace and factory level, requiring the development and integration of digital technologies for quality control, machine/artificial/computing vision for autonomous/predictive quality and advanced prognostics, including energy consumption management.
- “Virtualization” and “Dematerialisation” using next generation sensors, digital twins and artificial intelligence will support virtual commissioning, repair and maintenance, while reducing the need for “physical” fine-tuning and on-site interventions.
Comment:
Optimization needs to take place both horizontally (e,g, shopfloor control) and vertically (management of operations). Digital twins able to capture information from each level and process it for decisions making using AI are needed to simplify and make the orchestration more effective.