Aveva Group Ltd.

10/30/2024 | News release | Distributed by Public on 10/30/2024 17:24

Abbott Laboratories: Digital Excellence journey in a Smart Factory using the Vertical Data Integration

2024 - AVEVA World - Paris - Manufacturing (F&B, CPG, Life Sciences, Discrete)

Abbott Laboratories: Digital Excellence journey in a Smart Factory using the Vertical Data Integration

Abbott Nutrition is adopting Master Data Management practices and standards of an enterprise architecture by using the PI Asset Framework as a key layer towards the journey towards the Manufacturing Unified Name Space (MUNS). This approach shifts to doing things by template instead of by tag and uses a standard approach to introduce new assets into the MUNS, enabling Abbott to save time in defining the scope of new projects and requirements for system integrators.

Industry

Life Sciences

Company

Abbott Laboratories

Speaker

José Miguel Gutiérrez Guerrero

José Miguel currently works at Abbott Laboratories in the Granada, Spain factory. He started as an IT and Automation Engineer in industrial vehicles and concrete plants. After that, he worked with business intelligence systems to analyze incoming process data for industrial environments. Currently, he is working on optimizing the PI System platform's potential from a data modeling and analysis point of view. José Miguel holds a degree in Computer Engineering from the University of Granada, and a postgraduate degree in Real Time Software Development. He is PhD in Metamodels for the Industrial Environment based on OPC-UA.

Company

Abbott

Speaker

Julio Manuel Lopez

Julio Lopez is a professional leader with more than 20 years of industry experience and career experience in IT-OT technologies. He's been the majority engineer and engineering lead for a number of initiatives where PI system was used as a platform stablishing depth collaboration with OSIsoft/AVEVA Center of Excellence and Field Service teams. Julio holds a degree in Computer Engineering from University of Granada, postgraduate studies in Automation and extensive experience in data analysis and process monitoring in lean six sigma environments.

Session Code

AW24-MAN-D2-SESS-120