Technical inheritance: Information basis for the identification and development of product generations
Year: 2017
Editor: Anja Maier, Stanko Škec, Harrison Kim, Michael Kokkolaras, Josef Oehmen, Georges Fadel, Filippo Salustri, Mike Van der Loos
Author: Mozgova, Iryna; Barton, Sebastian; Demminger, Christian; Miebach, Timo; Taptimthong, Piriya; Lachmayer, Roland; Nyhuis, Peter; Reimche, Wilfried; Wurz, Marc Christopher
Series: ICED
Institution: 1: Leibniz Universität Hannover, Institute of Product Development, Germany; 2: Leibniz Universität Hannover, Institute of Materials Science, Germany; 3: Leibniz Universität Hannover, Institute of Production Systems and Logistics, Germany; 4: Leibniz Universität Hannover, Institute of Micro Production Technology, Germany
Section: Design Information and Knowledge
Page(s): 091-100
ISBN: 978-1-904670-94-0
ISSN: 2220-4342
Abstract
Industry 4.0 opens great potentials in development and production processes by networking of machines and systems as well as all processes along the lifecycle components. E. g., new developed intelligent systems are able to collect, store and transmit data during their complete lifecycle based on physical principles. For the development and usage of such systems, the basic processes are analyzed, information chains are set up and targeted information from the life cycle is identified, transferred and returned to the product development phase. This aims to adapt the products and to develop new product generations. This previously presented approach has been named Technical Inheritance. An important aspect here is the relevant key information on the basis of which an identification and analysis of the state for each exemplar of the product is made. In order to implement such identification in the context of Technical Inheritance a so-called genetic code of the product is used. This aspect of the methodology of the Technical Inheritance will be discussed in detail.
Keywords: Design methodology, Design process, Product Lifecycle Management (PLM), Technical Inheritance, Smart product