Metrics should be used as tools/outcomes and not as main objectives and should not appear on the title of the topic. It should be more focused on decision making for competitiveness and sustainability.

Environmental/economic/social sustainability metrics (triple bottom line approach)

Quality control systems and procedures integrated on manufacturing stages

Decision support system based on AI agents

Digital Product Passport development

Sustainability metrics (i.e. circularity)

Zero-X (zero waste, zero defects, zero downtime, zero reworks, …) should be considered as productivity metrics

Energy efficiency metrics should be also included

Cooperative robotics (robot-machine cooperation)

Machine perception and monitoring for collision avoidance (cognition)

Highly automated and interconnected (AAS based) production equipment

Virtual commissioning supported by digital twins

IoT Edge Cloud (IEC-continuum)

AI supported ERP & MES

•Robustness, failure predictability, safety, RUL, Condition Monitoring and AI

•NDT for measuring, inspection & monitoring equipment

•Highly automated and sensed

•Highly reconfigurable and flexibility

•Hybrid manufacturing processes,

•Digital twins, simulation & modelling through life cycle

•Robustness, failure predictability, safety, RUL, Condition Based Monitoring

•Digital twins, simulation & modelling through life cycle

Metrics should be used as tools/outcomes and not as main objectives and should not appear on the title of the topic. It should be more focused on decision making for competitiveness and sustainability.

Environmental/economic/social sustainability metrics (triple bottom line approach)

Quality control systems and procedures integrated on manufacturing stages

Decision support system based on AI agents

Digital Product Passport development

Sustainability metrics (i.e. circularity)

Zero-X (zero waste, zero defects, zero downtime, zero reworks, …) should be considered as productivity metrics

Energy efficiency metrics should be also included

Cooperative robotics (robot-machine cooperation)

Machine perception and monitoring for collision avoidance (cognition)

Highly automated and interconnected (AAS based) production equipment

Virtual commissioning supported by digital twins

IoT Edge Cloud (IEC-continuum)

AI supported ERP & MES

•Robustness, failure predictability, safety, RUL, Condition Monitoring and AI

•NDT for measuring, inspection & monitoring equipment

•Highly automated and sensed

•Highly reconfigurable and flexibility

•Hybrid manufacturing processes,

•Digital twins, simulation & modelling through life cycle

•Robustness, failure predictability, safety, RUL, Condition Based Monitoring

•Digital twins, simulation & modelling through life cycle