The German Academic Association for Production Technology (WGP) annually invites researchers coming from its institutes and from industry to contribute peer reviewed papers in the field of production technology. This congress proceedings provides recent research results and findings on leading-edge manufacturing processes. Main aim of this scientific congress is to push forward existing borders in production and to provide novel solutions of "Production at the Leading Edge of Manufacturing Technology”.
Different sessions were held on the topics
•Recent Developments in Manufacturing Processes
•Advancements in Production Planning
•New Approaches in Machine Learning
•Aspects of Resilience of Production Processes
•Creating Digital Twins for Production
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Prof. Dr.-Ing. Matthias Liewald MBA studied mechanical engineering at the University of Dortmund and subsequently worked there from 1985 to 1990 as a scientific assistant. His doctorate in 1990 was followed by his work in industry from 1991 to 2005 in various positions with well-known companies in the automotive industry (Mercedes-Benz AG, Wackenhut GmbH, ThyssenKrupp Nothelfer GmbH). In 2002 he also completed his MBA studies, which he began in 1999 at the Business School in Milton Keynes, GB. Since 2005 Prof. Liewald is the head of the Institute for Metal Forming Technology at the University of Stuttgart. Since the beginning of this activity he has dedicated himself to research in the fields of the extension of process limits of metal forming technologies, the modeling of the elasto-plastic behavior of metallic materials and the robustness of sheet metal and cold forging. He is also involved in numerous scientific organizations and is active as an expert witness.
The German Academic Association for Production Technology (WGP) annually invites researchers coming from its institutes and from industry to contribute peer reviewed papers in the field of production technology. This congress proceedings provides recent research results and findings on leading-edge manufacturing processes. Main aim of this scientific congress is to push forward existing borders in production and to provide novel solutions of "Production at the Leading Edge of Manufacturing Technology”.
Different sessions were held on the topics
•Recent Developments in Manufacturing Processes
•Advancements in Production Planning
•New Approaches in Machine Learning
•Aspects of Resilience of Production Processes
•Creating Digital Twins for Production
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The German Academic Association for Production Technology (WGP) annually invites researchers coming from its institutes and from industry to contribute peer reviewed papers in the field of production technology. This congress proceedings provides recent . Codice articolo 1341574287
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The German Academic Association for Production Technology (WGP) annually invites researchers coming from its institutes and from industry to contribute peer reviewed papers in the field of production technology. This congress proceedings provides recent research results and findings on leading-edge manufacturing processes. Main aim of this scientific congress is to push forward existing borders in production and to provide novel solutions of 'Production at the Leading Edge of Manufacturing Technology'.Different sessions were held on the topics-Recent Developments in Manufacturing Processes-Advancements in Production Planning-New Approaches in Machine Learning-Aspects of Resilience of Production Processes-Creating Digital Twins for Production 846 pp. Englisch. Codice articolo 9783031183201
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Taschenbuch. Condizione: Neu. Production at the Leading Edge of Technology | Proceedings of the 12th Congress of the German Academic Association for Production Technology (WGP), University of Stuttgart, October 2022 | Mathias Liewald (u. a.) | Taschenbuch | Lecture Notes in Production Engineering | xvi | Englisch | 2024 | Springer | EAN 9783031183201 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 134251587
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The German Academic Association for Production Technology (WGP) annually invites researchers coming from its institutes and from industry to contribute peer reviewed papers in the field of production technology. This congress proceedings provides recent research results and findings on leading-edge manufacturing processes. Main aim of this scientific congress is to push forward existing borders in production and to provide novel solutions of 'Production at the Leading Edge of Manufacturing Technology'.Different sessions were held on the topics¿ Recent Developments in Manufacturing Processes¿ Advancements in Production Planning¿ New Approaches in Machine Learning¿ Aspects of Resilience of Production Processes¿ Creating Digital Twins for ProductionSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 864 pp. Englisch. Codice articolo 9783031183201
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The German Academic Association for Production Technology (WGP) annually invites researchers coming from its institutes and from industry to contribute peer reviewed papers in the field of production technology. This congress proceedings provides recent research results and findings on leading-edge manufacturing processes. Main aim of this scientific congress is to push forward existing borders in production and to provide novel solutions of 'Production at the Leading Edge of Manufacturing Technology'.Different sessions were held on the topics-Recent Developments in Manufacturing Processes-Advancements in Production Planning-New Approaches in Machine Learning-Aspects of Resilience of Production Processes-Creating Digital Twins for Production. Codice articolo 9783031183201
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