dc.contributor.author | Okorie, OS | |
dc.contributor.author | Salonitis, K | |
dc.contributor.author | Charnley, F | |
dc.contributor.author | Moreno, M | |
dc.contributor.author | Turner, C | |
dc.contributor.author | Tiwari, A | |
dc.date.accessioned | 2019-05-08T09:27:23Z | |
dc.date.issued | 2019-01-03 | |
dc.description.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. | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
dc.identifier.citation | In~: Sustainable Design and Manufacturing 2018 - Proceedings of the 5th International Conference on Sustainable Design and Manufacturing (KES-SDM-18), edited by D. Dao, R.J. Howlett, R. Setchi. and L. Vlacic, pp. 277 - 289 | en_GB |
dc.identifier.doi | 10.1007/978-3-030-04290-5_28 | |
dc.identifier.uri | http://hdl.handle.net/10871/36999 | |
dc.language.iso | en | en_GB |
dc.publisher | Springer International | en_GB |
dc.rights.embargoreason | Under embargo until 3 january 2020 in compliance with publisher policy | en_GB |
dc.rights | © 2019 Springer Nature Switzerland AG. All rights reserved | en_GB |
dc.subject | Remanufacture | en_GB |
dc.subject | Rechargeable energy storage system | en_GB |
dc.subject | Circular approach | en_GB |
dc.subject | Decision-making | en_GB |
dc.subject | Internet of Things | en_GB |
dc.title | Manufacturing Data for the Implementation of Data-Driven Remanufacturing for the Rechargeable Energy Storage System in Electric Vehicles | en_GB |
dc.type | Book chapter | en_GB |
dc.date.available | 2019-05-08T09:27:23Z | |
dc.contributor.editor | Dao, D | en_GB |
dc.contributor.editor | Howlett, RJ | en_GB |
dc.contributor.editor | Setchi, R | en_GB |
dc.contributor.editor | Vlacis, L | en_GB |
dc.identifier.isbn | 978-3-030-04290-5 | |
dc.relation.isPartOf | Sustainable Design and Manufacturing 2018 | en_GB |
dc.description | This is the author accepted manuscript, the final version is available from Springer via the DOI in this record | en_GB |
dc.rights.uri | http://www.rioxx.net/licenses/all-rights-reserved | en_GB |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2019-02-02 | |
rioxxterms.type | Book chapter | en_GB |
refterms.dateFCD | 2019-05-08T09:22:57Z | |
refterms.versionFCD | AM | |