Future trends in managing downtime include the adoption of predictive maintenance techniques using artificial intelligence and machine learning. These technologies can analyze historical data to predict potential failures and optimize maintenance schedules. Additionally, the development of more robust and versatile catalysts will continue to be a focus area for reducing downtime.
