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Role and Challenges of Data-Driven Design in the Product Innovation Process
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering. (Product Development Research Lab)ORCID iD: 0000-0001-5114-4811
2018 (English)In: IFAC PAPERSONLINE, Elsevier, 2018, Vol. 51, no 11, p. 1107-1112, article id No. 11Conference paper, Published paper (Refereed)
Abstract [en]

The paper discusses the role and the challenges of integrating Data-Driven Design (DDD) models in the product innovation process. Firstly, based on academic literature on the Product Innovation Value Streamsand on Model-Based Decision Supports, the paper highlights how and when the use of DDD models can support a more effective product innovation process. Secondly, it highlights a list of challenges to be considered for the development of new DDD models for decision support. Ultimately, those challenges are formalized in an evaluation matrix intended to guide the further development of DDD.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 51, no 11, p. 1107-1112, article id No. 11
Series
IFAC PAPERSONLINE, ISSN 2405-8963 ; 51
Keywords [en]
Data-Driven Design, Product Innovation, Product Value Stream, Knowledge Value Stream, Decision Making, Product Service Systems Development, Design Methods
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:bth-16444DOI: 10.1016/j.ifacol.2018.08.455ISI: 000445651000185OAI: oai:DiVA.org:bth-16444DiVA, id: diva2:1217347
Conference
16th IFAC Symposium on Information Control Problems in Manufacturing - INCOM 18
Funder
Knowledge FoundationAvailable from: 2018-06-13 Created: 2018-06-13 Last updated: 2018-10-30Bibliographically approved

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Bertoni, Alessandro

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