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Factors for effective learning in production networks to improve environmental performance

: Schurig, Alexander; Despeisse, Mélanie; Unterberger, Eric; Evans, Steve; Reinhart, Gunther


Umeda, Shigeki ; The International Federation for Information Processing:
Advances in Production Management Systems. Innovative Production Management Towards Sustainable Growth : IFIP WG 5.7 International Conference, APMS 2015, Tokyo, Japan, September 7-9, 2015, Proceedings, Part I
Cham: Springer International Publishing, 2015 (IFIP advances in information and communication technology 459)
ISBN: 978-3-319-22755-9 (Print)
ISBN: 978-3-319-22756-6 (Online)
International Conference on Advances in Production Management Systems (APMS) <2015, Tokyo>
Fraunhofer IWU ()
interfactory learning; environmental performance; learning collaboratively

There is evidence that the environmental performances of factories operating under similar circumstances vary greatly, even within one company. This indicates that production sites are operated in different ways which suggests a potential for improvement. Previous research shows that collaboration within production networks can improve factory performance. Learning collaboratively across factories is a promising approach to reduce the environmental impact of production sites. Several companies recognised this opportunity. Processes and systems to support knowledge and know-how exchange within their production network are already in place. In this research a literature review and interviews were carried out to explore factors that influence learning between factories. Such factors are critical to develop an effective tool enabling learning across factories and thus environmental performance improvements.