Factors for Effective Learning in Production Networks to Improve Environmental Performance
Paper i proceeding, 2015

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.

Interfactory learning

Environmental performance

Learning collaboratively


Alexander Schurig

Technische Universität München

Mélanie Despeisse

University of Cambridge

Eric Unterberger

Fraunhofer IWU

Steve Evans

University of Cambridge

Gunther Reinhart

Fraunhofer IWU

Technische Universität München

IFIP Advances in Information and Communication Technology

1868-4238 (ISSN) 1868-422X (eISSN)

Vol. 459 697-704
978-3-319-22755-9 (ISBN)

Advances in Production Management Systems
Tokyo, Japan,





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