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Title:

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

Document type:
Konferenzbeitrag
Author(s):
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...     »
Keywords:
Engineering Change, Engineering Change Management, Collaboration, Data Analysis, Performance Improvements
Book / Congress title:
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2018)
Date of congress:
16.-19.12.
Year:
2018
Quarter:
4. Quartal
Covered by:
Scopus
Semester:
WS 18-19
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