Experience | Thomas Kaiser
Worldwide Experience in Automotive Powertrain Projects and Process Improvements
Product Management for eAxles (2021-today)
Consulting in the development of electric drive trains, especially eAxles for commercial vehicles.
Efficiency optimization of the system consisting of multi-speed gearbox and final drive in bevel or spur gear versions.
Review of different concepts: transverse or longitudinal arrangement of electric motors.
Support of the introduction at OEMs.
Business Development for Aggregate Plants (2010-2015)
Business development for the supply of aggregates to Mercedes Benz Cars and OEMs such as Fiat Chrysler Automobiles, thus securing and increasing revenues and adding further value to Daimler Trucks.
Establishment of long-term partnerships with international OEMs for passenger cars and commercial vehicles.
Reorganization of customer and supplier landscape to focus business.
Project Lead for New Global Axles and Transmissions (2005-2020)
Project lead for international heavy-duty transmission projects. Successful launch in Brazil's Actros and NAFTA's Freightliner and Western Star trucks for heavy-haul and long-haul applications (2020).
R&D lead for commercial vehicle axle tandem project for long-haul applications (2009).
Delivering one of the most powerful and fuel-efficient transmissions and axles combination in today's commercial vehicle market.
Various optimization projects for transmissions and axles to improve fuel-efficiency for passenger cars and vans (2010-2015).
Global Change Management for Aggregate Plants (2010-2020)
Steering the global transmission and clutches platform for Daimler Trucks' aggregate plants in Germany, NAFTA, Brazil, India, and Japan.
Built and launched global and regional change management teams.
Maintaining an optimized product portfolio concerning quality, cost, and customer & legal requirements.
Reliability Management in Chassis and Axle Development (2001-2010)
Harmonization of Daimler Trucks' global test procedures for Germany, USA, Brazil, and Japan.
Enhancing reliability prognosis by Computer-Aided Engineering.
Substantial reduction of testing efforts by using state-of-the-art accelerated testing and prior knowledge usage to minimize the number of prototypes.
Successful introduction of DVP&Rs.