Please use this identifier to cite or link to this item: doi:10.22028/D291-22504
Title: What is design knowledge from the viewpoint of CPM/PDD?
Author(s): Conrad, Jan
Köhler, Christian
Wanke, Sören
Weber, Christian
Language: English
Year of Publication: 2008
OPUS Source: Design 2008 : proceedings of the 10th International Design Conference, Dubrovnik, Croatia, May 19 - 22, 2008 / Ed.: Dorian Marjanovic. - Zabreb : Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, 2008
SWD key words: Wissenstechnik
Free key words: design knowledge
product knowledge
process knowledge
DDC notations: 620 Engineering and machine engineering
Publikation type: Conference Paper
Abstract: Knowledge is a very common term in engineering design and also extensively discussed. There are many theories describing what knowledge is and how it should be managed in engineering design. But no shown/presented concept or definition is generally accepted. One reason for this are differing theories and views about the underlying development/design process. Therefore, it is necessary to find an adequate model for knowledge, which considers the product development process. This paper is based on the Characteristics-Properties Modelling / Property-Driven Development (CPM/PDD) approach [Weber 2005]. The product model (i.e. CPM) and the model of the product development process (i.e. PDD) are based on the clear distinction between characteristics and properties and, thus, enable a structured and integrated consideration of design knowledge. On this account, this paper provides a closer look on design knowledge in the context of CPM/PDD. Among other considerations, a method out of the theoretical computer science is applied to this context.
Link to this record: urn:nbn:de:bsz:291-scidok-17108
Date of registration: 30-Sep-2008
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Materialwissenschaft und Werkstofftechnik
Former Department: bis SS 2016: Fachrichtung 8.4 - Werkstoffwissenschaften
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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