Title：Circular factory for the continuously innovative product - A vision for the remanufacturing of the future
Speaker：Prof. Dr.-Ing. Gisela Lanza，Professor, Director of Production Systems, Karlsruhe Institute of Technology (KIT)
Inviter：Prof. Jun Ni, Dean of the Global Institute of Future Technology
Time：15:00-17:00, Friday, March 8, 2024
Venue：Auditorium 200, East Wing of Pao Yue-Kong Library, Minhang Campus, Shanghai Jiao Tong University
Areas of research:
Global Production Strategies
Production System Planning
Quality Assurance
Biography：
Prof. Dr.-Ing. Gisela Lanza is member of the management board at the Institute of Production Science (wbk) of the Karlsruhe Institute of Technology (KIT). She heads the Production Systems division dealing with the topics of global production strategies, production system planning, and quality assurance in research and industrial practice.
In 2009 she received the Heinz Maier-Leibnitz award of the German Research Foundation (DFG) in recognition of outstanding scientific achievements after the doctorate, and she was awarded in 2016 with the Federal Cross of Merit on Ribbon. She is an active member of the Germany Academy of Engineering Sciences (acatech) and the national platform Industrie 4.0, as well as of the Steering Committee of the Allianz Industrie 4.0 Baden-Württemberg.
The holistic design and evaluation of production systems is a central research issue in numerous research and joint projects. The methodological approach includes the use of quantitative methods to increase efficiency as well as the development and introduction of innovative technologies into production processes. In addition, a special focus is placed on data-driven planning and control of production networks in order to translate corporate strategy into tactical and operative network design. In order to master the highest process quality, especially in immature production processes, Prof. Lanza is also intensively engaged in the integration of in-line measurement technology in production systems as well as intelligent methods for the analysis of measurement data. The close interaction with numerous companies primarily from the automotive, mechanical and plant engineering secures the practical applicability and the industrial added value of their research work.
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