DETERMINING THE DRIVERS FOR LONG LEAD TIMES OF ENGINEERING CHANGE ORDERS: A DATA MINING APPROACH
DS 70: Proceedings of DESIGN 2012, the 12th International Design Conference, Dubrovnik, Croatia
Year: 2012
Editor: Marjanovic Dorian, Storga Mario, Pavkovic Neven, Bojcetic Nenad
Author: Sharafi, A.; Elezi, F.; Zuber, F.; Wolf, P.; Krcmar, H.; Lindemann, U.
Section: Design processes
Page(s): 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.
Keywords: engineering change order, knowledge discovery in databases, lead time, product development process