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Document type:
Konferenzbeitrag 
Author(s):
Sharafi, Armin; Elezi, Fatos; Zuber, Fabian; Wolf, Petra; Krcmar, Helmut; Lindemann, Udo 
Non-TUM Co-author(s):
nein 
Cooperation:
Title:
Determining the Drivers for Long Lead Times of Engineering Change Orders: A Data Mining Approach 
Abstract:
In the automotive industry engineering change orders (ECOs) are responsible for a high proportion of development costs. An inefficient handling of them prolongs the time to market, which is widely regarded to be a key competitive factor and a cost driver. 
Intellectual Contribution:
Discipline-based Research 
Book / Congress title:
Proceedings of the 12th International Design Conference DESIGN 2012 
Congress (additional information):
Dubrovnik, Croatia 
Publisher:
Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb The Design Society, Glasgow 
Year:
2012 
Month:
May 
Key publication:
Nein 
Peer reviewed:
Ja 
International:
Ja 
Book review:
Nein 
Commissioned:
not commissioned 
Professional Journal:
Nein