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Titel:

Data Analysis in Engineering Change Management – Improving Collaboration by Assessing Organizational Dependencies Based on Past Engineering Change Information

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Kattner, N.; Mehlstaeubl, J.; Becerril, L.; Lindemann, U.
Abstract:
Successful communication and collaboration within companies is crucial for competitive product development. Hence, this paper presents an approach to identify organizational dependencies based on past engineering change information using structural complexity management and graph-based analysis. It therefore introduces a meta-model describing the interrelations in change information and defines rules to identify dependencies. Furthermore, it applies the method on a data set of engineering change...     »
Stichworte:
Engineering Change, Engineering Change Management, Collaboration, Data Analysis, Performance Improvements
Kongress- / Buchtitel:
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2018)
Datum der Konferenz:
16.-19.12.
Jahr:
2018
Quartal:
4. Quartal
Nachgewiesen in:
Scopus
Semester:
WS 18-19
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