Keeping manufacturing assets in effective working order can be costly and wasteful. A schedule-based approach to maintenance often results in the unnecessary repair or replacement of equipment in acceptable working condition or in catastrophic failure of equipment due to undiagnosed issues.
In this webinar, attendees will learn how using artificial intelligence (AI) and advanced analytics to proactively monitor and respond to equipment issues in real time reduces maintenance expenses while improving asset reliability and performance.
Avoiding equipment failure or unnecessary repairs isn’t always top-of-mind for pharma manufacturing, but it should be. 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 AI and advanced analytics 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, pharma manufacturers can be assured they have the most uptime possible to keep production on track!
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 Innovation Lab
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.
Who Should Attend?
- Pharma Manufacturing
- Manufacturing Operations
- Information Technology/Operational Technology (IT/OT)
What You Will Learn
Webinar attendees will learn how to:
- Proactively monitor and respond to equipment issues in real time
- Leverage predictive power to prevent risks and reduce life science manufacturing costs
- Scale across multiple facilities and locations
- Provide a historical record and status of all equipment
Aizon is an AI software provider that transforms manufacturing operations with the use of advanced analytics, artificial intelligence, and other smart factory technologies focused on optimizing production within highly regulated industries. The Aizon AI platform seamlessly integrates unlimited sources of structured and unstructured data to deliver actionable insights across all manufacturing sites. Aizon offers an intuitive way to gain meaningful operational intelligence by enabling real-time visibility and predictive insights in a GxP compliant manner with end-to-end data integrity. Connect with us at www.aizon.ai.