Factors for Effective Learning in Production Networks to Improve Environmental Performance
| Autor: | Gunther Reinhart, Alexander Schurig, Mélanie Despeisse, Steve Evans, Eric Unterberger |
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| Přispěvatelé: | University of Cambridge [UK] (CAM), Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Fraunhofer IWU Project Group Resource-Efficient Mechatronic Processing Machines, Shigeki Umeda, Masaru Nakano, Hajime Mizuyama, Nironori Hibino, Dimitris Kiritsis, Gregor von Cieminski, TC 5, WG 5.1 |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Engineering
Process management Knowledge management business.industry Environmental performance Learning collaboratively 13. Climate action Interfactory learning 11. Sustainability Factory (object-oriented programming) Production (economics) Environmental impact assessment [INFO]Computer Science [cs] business |
| Zdroj: | IFIP Advances in Information and Communication Technology IFIP International Conference on Advances in Production Management Systems (APMS) 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⟩ Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth ISBN: 9783319227559 APMS (1) |
| Popis: | Part 5: Sustainability and Production Management; International audience; 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. |
| Databáze: | OpenAIRE |
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