Tim Prasse
About Tim Prasse
Tim Prasse serves as the Assistant to the Head of Mercedes Productionsystem and CKD Productionnetwork at Daimler AG, a position he has held since 2016 in Stuttgart, Germany. He has a background in engineering and has worked in various roles related to project purchasing and technical production planning.
Work at Daimler
Tim Prasse has been employed at Daimler AG since 2016, serving as the Assistant to the Head of Mercedes Productionsystem and CKD Productionnetwork. His role involves supporting the management of production systems and networks, contributing to the efficiency and effectiveness of manufacturing processes. Prior to this position, he worked in technical production planning abroad at Daimler AG from 2013 to 2016, where he focused on optimizing production strategies.
Education and Expertise
Tim Prasse holds a Bachelor of Engineering from the University of Applied Science Trier, which he completed from 2007 to 2010. He furthered his education by obtaining a Master of Science from the Technical University Hamburg-Harburg from 2011 to 2013. Additionally, he studied at Mahidol University and Universidade de São Paulo, enhancing his academic background in engineering and production management.
Previous Work Experience
Before joining Daimler AG, Tim Prasse worked at Bosch as a project purchasing specialist for hybrid and electric vehicle applications from 2010 to 2011. He also held a position in project purchasing for similar applications at UAES in Shanghai for three months in 2011. His diverse experience in project purchasing has equipped him with valuable skills in sourcing and procurement within the automotive industry.
Professional Development
Tim Prasse's career has included significant roles in project purchasing and production planning, particularly in the fields of hybrid and electric vehicle applications. His work has spanned various locations, including Germany and China, allowing him to gain international experience. This background contributes to his expertise in managing complex production systems and networks.