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Factors for Effective Learning in Production Networks to Improve Environmental Performance

Abstract : 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.
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Alexander Schurig, Mélanie Despeisse, Eric Unterberger, Steve Evans, Gunther Reinhart. Factors for Effective Learning in Production Networks to Improve Environmental Performance. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2015, Tokyo, Japan. pp.697-704, ⟨10.1007/978-3-319-22756-6_85⟩. ⟨hal-01417636⟩

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