Produktentwicklung Quo Vadis

Spath, Dieter; Dangelmaier, Manfred

doi:10.3139/9783446445819.001

Cited by 6 publications

(4 citation statements)

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“…Furthermore, product innovation nowadays is much more multifaceted and associated with smart systems, data-based services as well as new kinds of business models (Spath/Dangelmaier 2016). This leads to an increasing demand to adapt the cybernetic STS understanding mentioned above.…”

Section: Understanding Of Sts In Mechanical Engineering Sciencementioning

confidence: 99%

Enhancing digital transformation in SMEs with a multi-stakeholder approach – Implications from a socio-technical systems perspective

Herzog¹,

Wilkens²,

Bühlow³

et al. 2022

Digitization of the Work Environment for Sustainable Production

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Failures in digital transformation projects are reported frequently. This is especially true for small and medium sized enterprises (SMEs). Considered as a major reason is a missing socio-technical systems (STS) perspective. Although it is widely approved that the interplay between technological characteristics, individual behaviour, and organizational properties matters for digital transformation, these multiple dimensions of digital change tend to be underestimated when it comes to practice. The aim of this paper is to find explanations for this shortcoming and to derive propositions how to design a successful socio-technical implementation journey for the digital transformation in SMEs. The paper refers to the conceptual baselines of STS theory and compares perspectives occurring in the disciplines of work science and engineering science. This is complemented by a comparative analysis of two monodisciplinary as well as one interdisciplinary case study. Reflecting on current limitations the paper proposes a framework for a holistic STS approach that is more likely to be adapted in practice. This integrated maturity approach for digital transformation projects brings together former separated STS perspectives and thus explores a multi-stakeholder approach.

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Section: Understanding Of Sts In Mechanical Engineering Sciencementioning

confidence: 99%

Enhancing digital transformation in SMEs with a multi-stakeholder approach – Implications from a socio-technical systems perspective

Herzog¹,

Wilkens²,

Bühlow³

et al. 2022

Digitization of the Work Environment for Sustainable Production

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“…Dies kann zu Ressourcenengpässen oder schlecht genutzten Ressourcen führen. Damit ergibt sich der Bedarf einer Flexibilisierung der Arbeitsorganisation, um die verfügbaren Ressourcen optimal einzusetzen [5] nen der Zusammenarbeit bzw. Beteiligung realisieren.…”

Section: Michael Hertwig Adrian Barwasser Joachim Lentes Frauke Adam ...unclassified

Crowd Engineering – Produktentwicklung in der Community

Hertwig

Barwasser

Lentes

et al. 2020

Zeitschrift Für Wirtschaftlichen Fabrikbetrieb

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Kurzfassung Fachkräftemangel, immer kürzere Produktlebenszyklen und der zunehmende Bedarf an kundenindividuellen Produkten führen zu steigenden Herausforderungen für Entwicklungsabteilungen produzierender Unternehmen. Die Einbindung von externen Experten aus einer Community in firmeninterne Produktentwicklungsprozesse ist ein erfolgversprechender Ansatz für die schnellere, kostengünstigere und bedarfsangepasste Entwicklung von Produkten. Mit Crowd Engineering wird die Einbindung einer Community in eine Produktentwicklung realisiert. Dieser Beitrag soll einen Einblick in den aktuellen Forschungsstand des Crowd Engineerings geben und den Nutzen für Unternehmen aufzeigen.

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“…According to , over the next decades "all" products will be cyberphysical systems. In addition, product development will be affected by the increasing interconnectivity of these product, providing analyses to drive design decisions Spath & Dangelmaier, 2016). Multiple use cases and approaches to support this paradigm shift are already known such as Digital Twins (Spath & Dangelmaier, 2016;).…”

Section: Introductionmentioning

confidence: 99%

“…In addition, product development will be affected by the increasing interconnectivity of these product, providing analyses to drive design decisions Spath & Dangelmaier, 2016). Multiple use cases and approaches to support this paradigm shift are already known such as Digital Twins (Spath & Dangelmaier, 2016;). Yet, there is still no unified definition, framework, or understanding of what could be described as "data-driven engineering" (DDE).…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Engineering – Definitions and Insights from an Industrial Case Study for a New Approach in Technical Product Development

Trauer¹,

Schweigert-Recksiek²,

Okamoto³

et al. 2020

Balancing Innovation and Operation

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The growing digitization affects all areas of engineering. Together with fast-paced trends, it drives complexity and uncertainty in many domains. Yet, its potentials are manifold and, in most cases, outweigh the disadvantages. Beneath terms such as "big data", "digital twin", the term "data-driven engineering" has evolved over the last years. However, neither in literature nor in industry, there is a unified definition or understanding of the term. The presented research is based on a literature review as well as an industrial case study. Several databases were screened systematically for the literature review and forward and backward searches were used additionally. The case study was conducted in a collaboration with a company in the climate system sector. First, a literature-based distinction between the terms model-based, modeldriven, data-based, and data-driven as well as definitions of data-driven engineering were investigated. Representatives of the company then evaluated these findings in a workshop and together with the industry partner a consistent definition was developed. The authors define data-driven engineering as a framework for product development in which the goal-oriented collection and use of sufficiently connected product lifecycle data guides and drives decisions and applications in the product development process. Further, promising use cases for the industry partner regarding data-driven engineering were formulated. The use cases were initially evaluated and prioritized regarding their cost-benefit ratio. Symbioses with other strategies of the company such as Digital Twins, model-based engineering, and solution space engineering are outlined. For academia, the presented findings provide a consistent definition that can be used as a promising direction for future research. Especially a procedure model for the systematic conception and implementation of data-driven engineering would be beneficial. For industry, this paper provides insights on potentials of data-driven engineering, a differentiation from related concepts, and very concrete use-cases serving as a starting point for a company-specific implementation.

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Produktentwicklung Quo Vadis

Cited by 6 publications

References 0 publications

Enhancing digital transformation in SMEs with a multi-stakeholder approach – Implications from a socio-technical systems perspective

Enhancing digital transformation in SMEs with a multi-stakeholder approach – Implications from a socio-technical systems perspective

Crowd Engineering – Produktentwicklung in der Community

Data-Driven Engineering – Definitions and Insights from an Industrial Case Study for a New Approach in Technical Product Development

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