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Conference Paper: RFID Data Driven Performance Evaluation in Production Systems

TitleRFID Data Driven Performance Evaluation in Production Systems
Authors
KeywordsRFID
Big Data
Production Shop floor
Machine Learning
Issue Date2019
PublisherElsevier: 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?
AbstractRadio 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 Identifierhttp://hdl.handle.net/10722/272404
ISSN
2023 SCImago Journal Rankings: 0.563
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhong, R-
dc.date.accessioned2019-07-20T10:41:40Z-
dc.date.available2019-07-20T10:41:40Z-
dc.date.issued2019-
dc.identifier.citation52nd CIRP Conference on Manufacturing Systems (CMS), Ljubljana, Slovenia, 12-14 June 2019. In Procedia CIRP, 2019, v. 81, p. 24-27-
dc.identifier.issn2212-8271-
dc.identifier.urihttp://hdl.handle.net/10722/272404-
dc.description.abstractRadio 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.languageeng-
dc.publisherElsevier: 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.ispartofProcedia CIRP-
dc.relation.ispartof52nd CIRP Conference on Manufacturing Systems (CMS), 2019-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectRFID-
dc.subjectBig Data-
dc.subjectProduction Shop floor-
dc.subjectMachine Learning-
dc.titleRFID Data Driven Performance Evaluation in Production Systems-
dc.typeConference_Paper-
dc.identifier.emailZhong, R: zhongzry@hku.hk-
dc.identifier.authorityZhong, R=rp02116-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1016/j.procir.2019.03.005-
dc.identifier.scopuseid_2-s2.0-85068486658-
dc.identifier.hkuros298843-
dc.identifier.volume81-
dc.identifier.spage24-
dc.identifier.epage27-
dc.identifier.isiWOS:000566264700005-
dc.publisher.placeNetherlands-
dc.identifier.issnl2212-8271-

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