Presentation: Digital Analytics to reduce variability in production (Mondi)

PRESENTATION

2019 - OSIsoft PI World Gothenburg - Process Industries

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

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Industry

  • Pulp & Paper

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.