Success Factors for the Validation of Requirements for New Product Generations - A Case Study on Using Field Gathered Data

Publikationstyp
Conference Paper
Date Issued
2022-05
Sprache
English
Author(s)
Wagenmann, Steffen  
Bursac, Nikola  
Rapp, Simon  
Albers, Albert  
TORE-URI
http://hdl.handle.net/11420/14929
Journal
Proceedings of the Design Society  
Volume
2
Start Page
1805
End Page
1814
Citation
17th International design conference (DESIGN 2022)
Contribution to Conference
17th International Design Conference, DESIGN 2022  
Publisher DOI
10.1017/pds.2022.183
Scopus ID
2-s2.0-85131384584
This paper investigates which activities and success factors can be identified for the data-driven validation of functional requirements. For this purpose, a case study is conducted at a machine tool manufacturer. To validate functional requirements by analyzing data of reference products, these activities must be performed iteratively: basic work, interdisciplinary work, programming and check results. For the successful execution of data-driven validation, the success factors: data origin, acceptance, data quality, knowledge about data and combination of domain knowledge must be considered.
Subjects
decision making
digital twin
industry 4.0
internet of things (IoT)
product generation engineering (PGE)