This research develops Smart Twin PM, a six-layer digital twin system for predictive maintenance in manufacturing. By combining real-time data analytics, physics-based validation, cybersecurity checks, and smart scheduling, it reduces unexpected failures by 15% and false alarms by 20%, enabling proactive, trustworthy, and efficient machine maintenance.

This research tested a simple productivity strategy: starting each day by choosing the three most impactful tasks. In a biotech workplace trial, the “Top Three” method increased task value by 9%, reduced task-switching, and improved employees’ sense of control and accomplishment. Most participants continued using the strategy after the study ended.