Please use this identifier to cite or link to this item: doi:10.22028/D291-29418
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Title: Integrated and Customer-Oriented Material and Process Selection by Sensory Multi-Criteria Decision-Making
Author(s): Schneberger, Jan-Henrik
Kaspar, Jerome
Vielhaber, Michael
Editor(s): Wartzack, Sandro
Schleich, Benjamin
Language: English
Title: Proceedings of the Design Society
Startpage: 1175
Endpage: 1184
Publisher/Platform: Cambridge University Press
Year of Publication: 2019
Place of publication: Cambridge
Title of the Conference: ICED 2019
Place of the conference: Delft, The Netherlands
Publikation type: Conference Paper
Abstract: Today, product success more than ever depends on the satisfaction of consumer needs. Besides, manufacturers need to shorten development cycles and accelerate product release in order to stay competitive. This is achieved by applying customer-oriented methods allowing for fast and reliable acting. During the early phase of product development, requirements acquisition is crucial for later success of products, since specifications are most influenceable at this point. Referring to the decisive concept generation phase, material and production definition is difficult due to the highly complex interrelations between material properties, production process capabilities, and resulting product characteristics. Especially in the context of lightweight design, concurrent material and processing technology selection must be considered due to its various possible interfaces. Thus, this contribution outlines an integrated approach towards an enhanced material and process related, customer-oriented requirements acquisition during the early phase upstream of product detailing. Here, conventional multi-criteria decision-making and tactile recognition are employed in an agile transformation model.
DOI of the first publication: 10.1017/dsi.2019.123
URL of the first publication:
Link to this record: hdl:20.500.11880/28423
ISSN: 2220-4342
Date of registration: 4-Dec-2019
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Michael Vielhaber
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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