Information logistics in engineering change management: Integrating demand patterns and recommendation systems

Abstract

During the last decade, manufacturing industries experienced a shift towards networked organisation structures. In such organizations, engineering change management is a complex process aiming at implementing required changes in the product timely, completely and by including all affected and involved partners. Information demand patterns have been proposed as a way of capturing organizational knowledge regarding the information flow for such change management processes. This paper aims at extending this work by investigating approaches from group recommendation systems for implementing IT-support of the pattern use. The paper presents an approach for integration information demand patterns and recommendation systems, an architecture for recommendation systems and a clustering approach. © 2012 Springer-Verlag Berlin Heidelberg.