January 25, 2019
Data-Driven Process Optimization in Beverage Industry
Speaker: Dominik Polster, Bitburger Braugruppe GmbH
Increased price and competitive pressure as well as initiatives to increase energy and resource efficiency present the beverage industry with major challenges for rationalization. In the presentation, the possibilities and limits of existing approaches to data-based process optimization will be presented and it will be shown that new approaches to data analysis are required for biochemical processes with complex combinations of different influencing variables. For this reason, the DaPro research consortium was established to explore data driven process optimization in the beverage industry based on machine learning.
Head of Industrial Performance, Bitburger Braugruppe GmbH
Dominik Polster, born in 1972, studied at the TU Munich-Weihenstephan and graduated in 1997 as engineer for brewing and beverage technology. Afterwards he graduated as business engineer at the TU Munich in 2000. Throughout his career, he held management positions at Coca-Cola, Bitburger Braugruppe and Müller Milch, before rejoining the Bitburger Braugruppe GmbH, to become head Industrial Performance in 2017. Dominik Polster is initiator and consortium leader of 'DaPro – Data driven process optimization in the beverage industry based on machine learning'.