Analyzing and Modeling Interdisciplinary Product Development

Neumann, Frank

doi:10.1007/978-3-658-11092-5

Cited by 4 publications

(4 citation statements)

References 65 publications

(219 reference statements)

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“…Communication and cross-disciplinary collaboration are crucial aspects of current vehicle development -either inside a company as well cross-enterprise. Looking at the same base of relevant and consistent data from different perspectives is relevant for high effectivity and quality [4]. Generic data provision services, context enrichment, and continuous aggregation are key aspects for future effective development and lifecycle integration [5].…”

Section: Introductionmentioning

confidence: 99%

Towards a Reference Model for Knowledge Driven Data Provision Processes

Wang

Preidel

Fachbach

et al. 2020

Boosting Collaborative Networks 4.0

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Value creation in most business areas takes place in networks that involve a wide range of stakeholders from various disciplines within and beyond company borders. Collaboration in such networks require the exchange of knowledge that is manifested in digital artefacts and consequently in data. As the utilization of that "hidden" knowledge has become increasingly important, the provision of relevant data in sufficient quality has also become crucial. This article proposes a reference model for knowledge driven data provision processes that is developed within a research project at the Virtual Vehicle Research Center GmbH for a future networked engineering environment. It describes a systematic process to drive operationalization of data provision from knowledge requirements to identify, extract and provide raw data until the application of such data sets. Still, the model in its current state is only applicable by descriptive means and needs further development and validation in practical use cases.

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Section: Introductionmentioning

confidence: 99%

Towards a Reference Model for Knowledge Driven Data Provision Processes

Wang

Preidel

Fachbach

et al. 2020

Boosting Collaborative Networks 4.0

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“…Engineering design processes (EDP) can be seen as iterative problem solving processes for ill-structured problems which are characterized by a lack of knowledge in all process phases (Ullman, 2010;Neumann, 2015). In order to develop innovative and high quality products, engineers have to combine their abilities and expertise and thus, exchange data, information and knowledge across disciplinary and organizational borders.…”

Section: Introductionmentioning

confidence: 99%

“…In order to develop innovative and high quality products, engineers have to combine their abilities and expertise and thus, exchange data, information and knowledge across disciplinary and organizational borders. However, the terms data, information and knowledge are not understood in a uniform way by different disciplines (Neumann, 2015). According to North (2011), data can be seen as a basic resource from which information and knowledge can be derived, whilst data per se is merely a collections of symbols and of little use without context.…”

Section: Introductionmentioning

confidence: 99%

Knowledge in Engineering Design: A Systematic Literature Review on Artifacts and It Systems

Preidel¹,

Wang²,

Exner³

et al. 2018

Proceedings of the DESIGN 2018 15th International Design Conference

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Intense collaboration within networks of stakeholders characterizes current engineering design processes. In these, engineers use IT systems to create artifacts, which manifest their knowledge allowing its circulation. Still, a research gap exists regarding the understanding of kinds, relations and interdependencies between IT systems, artifacts and knowledge types. This article addresses this gap by presenting results of a systematic literature review. The results contribute to close the mentioned gap, give insight on focusses of current research and identify further need for investigations.

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“…On strongly application-oriented level, the development of technical products can be regarded as engineeringscientific research. Engineers apply and combine their knowledge to create artefacts, which evolve in iterative cycles and finally result in a technical product (Neumann, 2015). Due to the increasing complexity of modern products, a deep understanding of how knowledge is processed in such development processes is crucial for industrial companies to survive in global competition.…”

Section: Introductionmentioning

confidence: 99%

Conceptual Framework for Analysing Knowledge Dynamics in Engineering Science

Märten¹,

Jenek²,

Wang³

et al. 2018

Proceedings of the DESIGN 2018 15th International Design Conference

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Despite increasing knowledge intensity in product development, there is still a lack of understanding regarding the dynamic interrelations of knowledge types, stakeholders and artefacts in value creation processes.This dilemma counts also for engineering science as a discipline. This paper proposes a conceptual framework that allows for the analysis of dynamic knowledge flows in practical design processes and fundamental engineering research. Results from exemplary applications on two use cases will be used to illustrate its overall applicability and its potentials for science and industry.

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Analyzing and Modeling Interdisciplinary Product Development

Cited by 4 publications

References 65 publications

Towards a Reference Model for Knowledge Driven Data Provision Processes

Towards a Reference Model for Knowledge Driven Data Provision Processes

Knowledge in Engineering Design: A Systematic Literature Review on Artifacts and It Systems

Conceptual Framework for Analysing Knowledge Dynamics in Engineering Science

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