The Babbage Policy Network

Professor Engelbert Westkämper

Professor of Industrial Manufacturing and Management, University of Stuttgart, Germany

Engelbert Westkämper was Professor for Industrial Manufacturing and Management at the University of Stuttgart and head of the Fraunhofer-Institute for Production Technologies and Automation (IPA) in Stuttgart.

He has 10 years experiences in manufacturing in the German aircraft industries (Airbus) after his study and Dr. degree mechanical engineering at University Aachen. He was appointed as Professor for Machine-Tools and Manufacturing Technologies at University Braunschweig, where he founded an Institute for application oriented Manufacturing Technologies and Management in the interface between science and practice. He founded the Graduate School for advanced Manufacturing Engineering (GSaME)at the university Stuttgart in the German Science Excellence Program with a model of a “Dual System” in highest education and science level.

Westkämper was a member of boards in the science organization DFG and in the High Level Group of the European Technology Platform Manufuture. He was dean of the faculty of Mechanical Engineering and a member of the supervisory board in the university Stuttgart. He was awarded in several European Universities, Engineers associations and the German federal Cross merit.

Westkämper published many papers in scientific journals and books in technological and strategic themes of manufacturing. Based on dialogues with European Manufacturing experts, he influenced the European research with strategic orientations towards the Factories of the Future (FoF) and roads to re-industrialization of manufacturing. Today experts discuss Factories Made in Europe with technical intelligence and learning properties. It is essential, that European Industries need fundamental innovations to answer the future challenges.

Science and Research for Manufacturing can contribute massive to the efficiency of manufacturing by application of scientific based models - integrated in real-time control and information and communication networks organic computing. Knowledge and scientific proofed models have the potential for massive reduction of cost of experiments in industry. They are necessary for the development of technical efficiency, adaptability and changeability of manufacturing operations and management. Experts see a new generation after “Industrie 4.0” of products with high impact on the future way of life.

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