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- Titel:
Determining the Drivers for Long Lead Times of Engineering Change Orders: A Data Mining Approach
- Dokumenttyp:
- Konferenzbeitrag
- Autor(en):
- Sharafi, Armin; Elezi, Fatos; Zuber, Fabian; Wolf, Petra; Krcmar, Helmut; Lindemann, Udo
- Nicht-TUM Koautoren:
- nein
- Kooperation:
- -
- 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
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