The success of case-based design aids depends both on the case-based reason
ing processes they apply and on effectively integrating those processes int
o the larger task context, on making the case-based reasoning component pre
sent case information at the right time and in the right way, on exploiting
additional information resources as needed to supplement the case library
and to guide case application, on capturing useful information from current
reasoning and providing it to up- and down-stream designers, and on unobtr
usively learning new cases during the design process. This article presents
a set of principles and techniques for integrated case-based design suppor
t systems and illustrates their application through a case study of the Sta
mping Advisor, a system to support feasibility analysis for sheet metal aut
omotive parts. (C) 1999 Elsevier Science Ltd. All rights reserved.