
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 pharma 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.
Join 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.
Register today 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.
This copyright notice applies to all proprietary pages, images, text, programs, and other material available throughout this Internet site (collectively, this “Publication”). All materials posted on the website are subject to copyrights owned by the International Society for Pharmaceutical Engineering (“ISPE”) and other individuals or entities. Any reproduction, retransmission or republication of all or part of any documents found on this site is expressly prohibited, unless ISPE or the copyright owner of the material has expressly granted its prior written consent to reproduce, retransmit or republish the material. All other rights reserved. View entire copyright policy.