2019 - OSIsoft PI World - Gothenburg - Life Sciences
Digital Analytics to reduce variability in production (Mondi)
Realization of predictive process control with advanced analytics techniques. + Identify data breaks and enable data accessibility; Define framework / data needs; Refine use cases for machine learning application + Validate data; develop predictive model; Validate critical parameters and how to act upon them; Conduct trials on actual process; Define Model Lifecycle Management + Industrialize model; Monitor performance; Implement in ways of working; Share experience to other plants
Industry
Life Sciences
Company
Mondi Consumer Packaging
Speaker
Johannes Strobel
Continuous Improvement Manager Mondi Release Liner
Company
Mondi Consumer Packaging
Speaker
Jürgen Bachner
Operations Director Mondi Release Liner
Company
pmOne
Speaker
Georg Droschl
Georg`s experience in data-driven technology goes back 20 years. He has implemented and managed projects in Advanced Analytics, Machine Learning, Artificial Intelligence and Business Intelligence. He has given trainings, worked in product management and product marketing, and used intelligent algorithms as a business manager. Georg now works with pmOne, and is responsible for the development of Advanced Analytics in this project for Mondi.
Session Code
UC19EU-D2PI07