Cut Pharma Maintenance Costs and Improve Asset Efficiency with AI and Advanced Analytics
Tuesday, April, 19, 2022 at 11am EDT | 8am PDT | 4pm BST | 5pm CEST Be assured they have the most uptime possible to keep production on track! Register for this webinar to learn how advanced technologies can help ensure complete asset integrity, guarantee optimal facility conditions (such as temperature, humidity, and vibrations), predict the expected lifespan of equipment and track the energy an asset has consumed and its CO2 emissions.
Register free: https://www.pharmtech.com/pt_w/maintenance
Event Overview:
Most manufacturing sites separate the data from GMP and non-GMP computer systems, which limits the overall asset management and control capabilities. Avoiding equipment failure or unnecessary repairs isn't always top-of-mind for pharma manufacturers, but it should be as these problems can cause production disruptions, lead to product rejection, impact time to market (TTM) and compromise Right First Time. Register for this webinar to learn how advanced technologies can help ensure complete asset integrity, guarantee optimal facility conditions (such as temperature, humidity, and vibrations), predict the expected lifespan of equipment and track the energy an asset has consumed and its CO2 emissions.
Armed with this knowledge, manufacturers can be assured they have the most uptime possible to keep production on track!
Key Learning Objectives:
- Proactively monitor and respond to equipment issues in real time
- Leverage predictive power to prevent risks and reduce operational expenses
- Scale across multiple facilities and locations
Who Should Attend:
- Pharma Manufacturing
- Engineering
- Facilities Management
- Manufacturing Operations
- IT/OT
- Innovation
- Reliability Engineering
Speakers
Bruno Otero
Automation Solutions Engineer
Aizon
Bruno Otero is an Automation Solutions Engineer working on the applications team at Aizon. At Aizon, Bruno is responsible for the definition and development of standard solutions on the Aizon AI Cloud GxP platform oriented towards manufacturing environments within the Life Sciences industry. Prior to Aizon, Bruno was a Data Analytics Engineer at Croda, a specialty chemicals manufacturer for the Life Sciences and Personal Care businesses. At Croda, Bruno was involved in the development and utilization of solutions aimed towards productivity and quality improvement in plant operations. Prior to this role, Bruno held various Process Engineering positions in different manufacturing sites as part of Croda’s Engineering development programme. Bruno has over 6 years of experience in plant manufacturing environments with a focus on operational excellence both in GxP and non GxP environments.
Joeri van Wijngaarden
R&D Project Manager
Aizon
Joeri van Wijngaarden is R&D project manager at Aizon’s Innovation Lab. In this role, he coordinates Aizon's collaborative scientific projects in domains of AI and Biopharma to help accelerate the adoption of AI for pharmaceutical manufacturing and process optimization. Since 2015, he's been active as a researcher in Life Sciences with a particular interest in artificial and biological intelligence. Joeri holds a Ph.D. in Neurobiology, a Master in Neuroscience and has presented his work at several international conferences, publishing in leading Life Science journals to progress our understanding of complex biological systems.
Register free: https://www.pharmtech.com/pt_w/maintenance
