By Frank Neumann
Frank Neumann makes a speciality of setting up a theoretical foundation that enables an outline of the interaction among person and collective strategies in product improvement. For this function, he introduces the built-in descriptive version of data production because the first constituent of his examine framework. As a moment a part of the study framework, an research and modeling approach is proposed that captures some of the wisdom conversion actions defined by way of the built-in descriptive version of data production. accordingly, this learn framework is utilized to the research of information features of mechatronic product improvement (MPD). ultimately, the consequences won from the former steps are used inside a layout help approach that goals at federating the data and data assets inside the versions released within the a number of improvement actions of MPD.
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Extra resources for Analyzing and Modeling Interdisciplinary Product Development: A Framework for the Analysis of Knowledge Characteristics and Design Support
As a result, these tools were largely incompatible and could only be poorly integrated (VDI 2004). 2) have been proposed and conceived during the last decade (Eversheim, Niemeyer, et al. 2000; VDI 2004; El-khoury 2006; Bellalouna 2009) with the following characteristics: (a) Integrated product data model spanning all disciplines and development phases providing the capabilities to map the tool specific data onto a common data model (Elkhoury 2006; Bellalouna 2009) (b) Coordination of the product data and information exchange (Angerbauer, Buck, et al.
Mechatronic tools ii. g. 1 Problem Analysis 15 i. Interdisciplinary competence: Communication with experts from other disciplines, motivation for interdisciplinary cooperation, adaptation of different perspectives, interdisciplinary knowledge exchange ii. g. for system design and system integration, requires generalist expertise usually contributed by system engineers (Kühnl 2007). In general terms: The knowledge possessed by a single person will not be sufficient to cover the full width and depth of knowledge required in MPD.
Semantic modeling: Enrichment of models with semantic information in order to improve the capturing and provision of knowledge (Welp, Labenda, et al. 2007) (b) Domain-spanning integration of disciplinary models based on: i. Mathematical models incorporating the domain-specific equations into a domain-spanning mathematical model (VDI 2004) ii. Meta-meta-models allowing for an integration of the tool specific data authored under their tool specific format (meta-model) (El-khoury 2006; ISYPROM Consortium 2011a) The types of the applied models and design and analysis tools usually change over the different development phases.