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Title:

Determining the Drivers for Long Lead Times of Engineering Change Orders: A Data Mining Approach

Author(s):
Sharafi, A.; Elezi, F.; Zuber, F.; Wolf, P.; Krcmar, H.; Lindemann, U.
Pages contribution:
299-310
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. This paper points out which drivers are causing high process times by applying knowledge discovery and data mining methods using data of a European car manufacturer and comparing the outcome with theoretical drivers derived from literature. In...     »
Keywords:
engineering change order; knowledge discovery in databases; lead time; product development process
Book / Congress title:
International Design Conference DESIGN 2012
Congress (additional information):
21.- 24.05.2012
Congress city:
Dubrovnik, Croatia
Year:
2012
Semester:
SS 12
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