Title data
Scholz, Michael ; Kreitlein, Sven ; Lehmann, Christian ; Böhner, Johannes ; Franke, Jörg ; Steinhilper, Rolf:
Integrating Intralogistics into Resource Efficiency Oriented Learning Factories.
In: Procedia CIRP.
Vol. 54
(2016)
.
- pp. 239-244.
ISSN 2212-8271
DOI: https://doi.org/10.1016/j.procir.2016.05.067
Abstract in another language
Establishing lean and green learning factories is a practical approach to meet rising resource efficiency requirements in industrial manufacturing. Besides lean aspects, the impact of increasing flexibility in intralogistics on energy consumption needs to be quantified and transferred to industry decision makers via suitable learning scenarios to deepen the understanding of energy-related dependencies of various transport technologies. This paper presents an approach for a systematic identification and implementation of lean and resource efficiency potentials focusing on automated guided vehicles.
Therefore, energy efficiency of alternative assets is measured, simulated and characterized by using Energy Performance Indicators.
Further data
Item Type: | Article in a journal |
---|---|
Refereed: | Yes |
Keywords: | Flexibility and Transparency in Manufacturing Education; Resource Efficiency; Energy Efficiency; Learning Factory; Energy Performance Indicators |
Institutions of the University: | Faculties > Faculty of Engineering Science > Former Professors > Chair Manufacturing and Remanufacturing Technology - Univ.-Prof. Dr.-Ing. Rolf Steinhilper Research Institutions > Affiliated Institutes > Fraunhofer-Projectgroup Processinnovation Faculties Faculties > Faculty of Engineering Science Faculties > Faculty of Engineering Science > Chair Manufacturing and Remanufacturing Technology Research Institutions Research Institutions > Affiliated Institutes Faculties > Faculty of Engineering Science > Former Professors |
Result of work at the UBT: | Yes |
DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering |
Date Deposited: | 25 Oct 2016 14:18 |
Last Modified: | 25 Oct 2016 14:18 |
URI: | https://eref.uni-bayreuth.de/id/eprint/35019 |