Benutzer: Gast  Login

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Sharafi, Armin; Elezi, Fatos; Zuber, Fabian; Wolf, Petra; Krcmar, Helmut; Lindemann, Udo
Nicht-TUM Koautoren:
nein
Kooperation:
-
Titel:
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
Kongress- / Buchtitel:
Proceedings of the 12th International Design Conference DESIGN 2012
Kongress / Zusatzinformationen:
Dubrovnik, Croatia
Verlag / Institution:
Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb The Design Society, Glasgow
Jahr:
2012
Monat:
May
Key publication:
Nein
Peer reviewed:
Ja
International:
Ja
Book review:
Nein
commissioned:
not commissioned
Professional Journal:
Nein
 BibTeX