Okorie, O., Salonitis, K., Charnley, F. et al. (3 more authors) (2019) Manufacturing data for the implementation of data-driven remanufacturing for the rechargeable energy storage system in electric vehicles. In: Dao, D., Howlett, R., Setchi, R. and Vlacic, L., (eds.) Sustainable Design and Manufacturing 2018. 5th International Conference on Sustainable Design and Manufacturing (KES-SDM-18), 24-26 Jun 2018, Gold Coast, Australia. Smart Innovation, Systems and Technologies, 130 . Springer , pp. 277-289. ISBN 9783030042899
Abstract
Manufacturing industries are experiencing a data-driven paradigm shift that is changing how technical operations are run and changing present business models. Leveraging on manufacturing data from industries and digital intelligence platforms have become important in creating new forms of value. While extending the life of a product through the circular economy 3 R’s of reuse, re-manufacturing and recycling remains a technical and resource challenge for practitioners, optimizing the increasing forms and volumes of data presents a complementary and necessary challenge to the circular economy. This research aims to explore how the manufacturing data can inform remanufacturing parameters for implementing remanufacturing on the Rechargeable Energy Storage System.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © Springer Nature Switzerland AG 2019. This is an author produced version of a paper subsequently published in Dao et al (eds.), Sustainable Design and Manufacturing 2018, Springer, 2019. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) EP/P001246/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 07 Feb 2019 11:33 |
Last Modified: | 01 Dec 2019 01:39 |
Published Version: | https://doi.org/10.1007/978-3-030-04290-5_28 |
Status: | Published |
Publisher: | Springer |
Series Name: | Smart Innovation, Systems and Technologies |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-030-04290-5_28 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:142307 |