Generation and Update of a Digital Twin in a Process Plant (eBook)
XIII, 209 Seiten
Springer International Publishing (Verlag)
978-3-031-47316-6 (ISBN)
Josip Stjepandic (born 1961) looks back at an almost 40-year long career in research and development of complex industrial products and services. Since 1996, he is working for PROSTEP AG, the leading consultancy for product data integration. He has conducted many projects on engineering collaboration, supplier integration, CAD data exchange, knowledge-based engineering, intellectual property protection, development of design methods, and systems engineering for leading global companies. Many of those works were published in the past years and presented at conferences.
Johannes Lützenberger (born 1984) graduated from the University of Bremen with Dipl.-Ing in production engineering. During his over 10-year longing career, he gained various experiences with regard to Product Lifecycle Management, on technical as well as process levels, from academic and industrial perspectives. He was involved in and managed several projects dealing with semantical data integration, knowledge-based engineering, and software development. He joined PROSTEP AG in 2018 and currently holds the position of Product Manager for OpenDESC 3DigitalTwin. The results of his work have been published and presented at conferences in recent years.
Philipp Kremer (born 1992) studied industrial engineering at the University of Siegen, with a special emphasis in mechanical engineering. During his studies, he gained insights into the processes and procedures of a renowned cable manufacturer. After completing his bachelor's degree, he transferred to TU Darmstadt for his master's degree. At the same time as his master's studies, he started working as Student Trainee at PROSTEP AG, specifically in the area of systems engineering and the development of new technologies. After completing his master's degree, he is working permanently at PROSTEP AG.
Erscheint lt. Verlag | 1.1.2024 |
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Zusatzinfo | XIII, 209 p. 58 illus., 50 illus. in color. |
Sprache | englisch |
Themenwelt | Naturwissenschaften ► Chemie |
Technik ► Bauwesen | |
Schlagworte | Digital Twin • machine learning • Object recognition • Process Planning • process plant |
ISBN-10 | 3-031-47316-7 / 3031473167 |
ISBN-13 | 978-3-031-47316-6 / 9783031473166 |
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