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Conference Paper: RFID Data Driven Performance Evaluation in Production Systems
Title | RFID Data Driven Performance Evaluation in Production Systems |
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Authors | |
Keywords | RFID Big Data Production Shop floor Machine Learning |
Issue Date | 2019 |
Publisher | Elsevier: Creative Commons Attribution Non-Commercial No-Derivatives License. The Journal's web site is located at http://www.elsevier.com/wps/find/journaldescription.cws_home/727717/description |
Citation | 52nd CIRP Conference on Manufacturing Systems (CMS), Ljubljana, Slovenia, 12-14 June 2019. In Procedia CIRP, 2019, v. 81, p. 24-27 How to Cite? |
Abstract | Radio frequency identification technology commonly known as RFID technology is now widely used because it can increase productivity, efficiency and convenience. RFID has also been used in the manufacturing industry like shop floors where production data can be collected from production lines and sent to the information center for further analysis. Big data analysis provides a good opportunity, which can help the management of the shop floors. This paper reports on a case study using RFID datasets from a manufacturing shop floor to achieve performance evaluation. The datasets are processed by machine learning algorithms in R language. Some findings and observations have been obtained, which can be used as a reference for the future production. |
Persistent Identifier | http://hdl.handle.net/10722/272404 |
ISSN | 2023 SCImago Journal Rankings: 0.563 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Zhong, R | - |
dc.date.accessioned | 2019-07-20T10:41:40Z | - |
dc.date.available | 2019-07-20T10:41:40Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | 52nd CIRP Conference on Manufacturing Systems (CMS), Ljubljana, Slovenia, 12-14 June 2019. In Procedia CIRP, 2019, v. 81, p. 24-27 | - |
dc.identifier.issn | 2212-8271 | - |
dc.identifier.uri | http://hdl.handle.net/10722/272404 | - |
dc.description.abstract | Radio frequency identification technology commonly known as RFID technology is now widely used because it can increase productivity, efficiency and convenience. RFID has also been used in the manufacturing industry like shop floors where production data can be collected from production lines and sent to the information center for further analysis. Big data analysis provides a good opportunity, which can help the management of the shop floors. This paper reports on a case study using RFID datasets from a manufacturing shop floor to achieve performance evaluation. The datasets are processed by machine learning algorithms in R language. Some findings and observations have been obtained, which can be used as a reference for the future production. | - |
dc.language | eng | - |
dc.publisher | Elsevier: Creative Commons Attribution Non-Commercial No-Derivatives License. The Journal's web site is located at http://www.elsevier.com/wps/find/journaldescription.cws_home/727717/description | - |
dc.relation.ispartof | Procedia CIRP | - |
dc.relation.ispartof | 52nd CIRP Conference on Manufacturing Systems (CMS), 2019 | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | RFID | - |
dc.subject | Big Data | - |
dc.subject | Production Shop floor | - |
dc.subject | Machine Learning | - |
dc.title | RFID Data Driven Performance Evaluation in Production Systems | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Zhong, R: zhongzry@hku.hk | - |
dc.identifier.authority | Zhong, R=rp02116 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1016/j.procir.2019.03.005 | - |
dc.identifier.scopus | eid_2-s2.0-85068486658 | - |
dc.identifier.hkuros | 298843 | - |
dc.identifier.volume | 81 | - |
dc.identifier.spage | 24 | - |
dc.identifier.epage | 27 | - |
dc.identifier.isi | WOS:000566264700005 | - |
dc.publisher.place | Netherlands | - |
dc.identifier.issnl | 2212-8271 | - |