Mike McConaughy

This session will delve into the complexities of leveraging data for operational improvements, focusing on the implementation of digital twins and robotics. Participants will explore methodologies for optimizing data use and integrating automation into manufacturing processes.

Discussion includes:

• Understanding Digital Twins: Discuss how digital twins can replicate physical manufacturing processes to enable real-time monitoring and predictive analytics, ultimately enhancing process efficiency and reducing downtime.
• Robotics Integration: Examine the role of robotics in automating tasks and processes, including insights into collaborative robots (cobots) that work alongside human operators to improve productivity.
• Data Quality Management: Strategies for ensuring that the data collected from various sources, including sensors and machines, is accurate and actionable.
• Case Studies: Present successful implementations of digital twins and robotics in manufacturing settings, highlighting the impact on operational efficiency and product quality.