Did you know that more than 80% of equipment failures in manufacturing are caused by human error or adverse operating conditions rather than time-based wear and tear? That’s why pharmaceutical companies are increasingly progressing their digital journey beyond computerized maintenance management systems (CMMS) to embrace AI-powered predictive and prescriptive maintenance that prevents unplanned downtime and increases overall productivity.
Hear from experts Constantino Rodriguez, Director of Engineering at Minaris Regenerative Medicine and co-chair of the ISPE Maintenance Good Practice Guide and Monica Lomeli, Pharma Principal Solution Consultant at Aspen Technology as they discuss new opportunities created by a digital asset performance management (APM) strategy. Learn how you can:
- Avoid the pain and cost of lost production resulting from unplanned downtime
- Predict equipment failures up to weeks in advance and plan maintenance proactively to minimize schedule disruptions
- Protect entire sites via AI-powered predictive maintenance that readily scales across similar equipment
- Reduce costs by avoiding calendar-based maintenance interventions when they are not needed
Watch this on demand webinar to hear how you can quickly advance from conventional to predictive and prescriptive maintenance, optimizing the effectiveness of equipment reliability programs without compromising adherence to applicable regulatory requirements.