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Titel: Lightweight creativity methods for idea generation and evaluation in the conceptual phase of lightweight and sustainable design
VerfasserIn: König, Kristian
Zeidler, Simon
Walter, Ria
Friedmann, Marco
Fleischer, Jürgen
Vielhaber, Michael
Sprache: Englisch
Titel: Procedia CIRP
Bandnummer: 119
Seiten: 1170-1175
Verlag/Plattform: Elsevier
Erscheinungsjahr: 2023
Konferenzort: Sydney, Australia
Freie Schlagwörter: lightweight design
sustainable design
idea generation
idea evaluation
creativity method
DDC-Sachgruppe: 620 Ingenieurwissenschaften und Maschinenbau
Dokumenttyp: Konferenzbeitrag (in einem Konferenzband / InProceedings erschienener Beitrag)
Abstract: Regarding the implementation of lightweight design in products, there are various guidelines, principles and methods that support the developers methodically throughout the entire design process. Such methods often pursue the goal of optimizing an existing product by reducing the amount of consumed material (e.g., topology optimization). A more effective way to apply lightweight design lies in fostering the creativity and intuitiveness of engineers to develop miscellaneous concepts with the capability to provide far greater mass reductions in contrast to smaller efficiency enhancements. Supported through the breakdown of assemblies via thinking in terms of functions along the paradigm of systems engineering, existing creativity techniques (e.g., “brainstorming” or “6-hats-method”) and evaluation methods (e.g., “point scoring”) for idea generation and evaluation have been analyzed and rethought from a lightweight and sustainable design perspective resulting in so called lightweight creativity methods (LWCM). The methods were tested on a use case from the field of robotics, which enabled the identification of the potential of LWCM for a lightweight and sustainable design.
DOI der Erstveröffentlichung: 10.1016/j.procir.2023.05.008
URL der Erstveröffentlichung: https://www.sciencedirect.com/science/article/pii/S2212827123006108
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-415997
hdl:20.500.11880/37520
http://dx.doi.org/10.22028/D291-41599
ISSN: 2212-8271
Datum des Eintrags: 23-Apr-2024
Fakultät: NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: NT - Systems Engineering
Professur: NT - Prof. Dr. Michael Vielhaber
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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