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.

Environmental performance

Learning collaboratively

Interfactory learning

Författare

Alexander Schurig

Technische Universität München

Mélanie Despeisse

University of Cambridge

Eric Unterberger

Fraunhofer IWU

Steve Evans

University of Cambridge

Gunther Reinhart

Technische Universität München

Fraunhofer IWU

IFIP Advances in Information and Communication Technology

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

Vol. 459 697-704

Advances in Production Management Systems
Tokyo, Japan,

Ämneskategorier

Maskinteknik

Naturresursteknik

Drivkrafter

Hållbar utveckling

Styrkeområden

Produktion

DOI

10.1007/978-3-319-22756-6_85