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Article: Data analytics for working performance analysis in production management

TitleData analytics for working performance analysis in production management
Authors
KeywordsData analysis
KPI
Machine learning
RFID
Issue Date1-Oct-2024
PublisherElsevier
Citation
Manufacturing Letters, 2024, v. 41, n. Supplement, p. 73-80 How to Cite?
AbstractRFID technology has found widespread application in supply chain processes. Previous research has primarily focused on managing products or stocks, with limited attention given to analysing workers’ performances through RFID data. This paper proposes a model for analysing employee performance using RFID data in production management. Key Performance Indicators (KPIs) are defined and utilised to process, analyse, and visualise the data through various analysis tools to develop the proposed model. Comparisons are conducted to evaluate employee performance between different groups based on the defined KPI. The model is validated by testing an independent data set, demonstrating its effectiveness in analysing existing data. Predictably, the model has the potential to reduce supervisory and associated costs in case-like applications.
Persistent Identifierhttp://hdl.handle.net/10722/366339
ISSN
2023 Impact Factor: 1.9
2023 SCImago Journal Rankings: 0.587

 

DC FieldValueLanguage
dc.contributor.authorWang, Yuxin-
dc.contributor.authorYang, Yishu-
dc.contributor.authorZhong, Ray Y-
dc.date.accessioned2025-11-25T04:18:50Z-
dc.date.available2025-11-25T04:18:50Z-
dc.date.issued2024-10-01-
dc.identifier.citationManufacturing Letters, 2024, v. 41, n. Supplement, p. 73-80-
dc.identifier.issn2213-8463-
dc.identifier.urihttp://hdl.handle.net/10722/366339-
dc.description.abstractRFID technology has found widespread application in supply chain processes. Previous research has primarily focused on managing products or stocks, with limited attention given to analysing workers’ performances through RFID data. This paper proposes a model for analysing employee performance using RFID data in production management. Key Performance Indicators (KPIs) are defined and utilised to process, analyse, and visualise the data through various analysis tools to develop the proposed model. Comparisons are conducted to evaluate employee performance between different groups based on the defined KPI. The model is validated by testing an independent data set, demonstrating its effectiveness in analysing existing data. Predictably, the model has the potential to reduce supervisory and associated costs in case-like applications.-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofManufacturing Letters-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectData analysis-
dc.subjectKPI-
dc.subjectMachine learning-
dc.subjectRFID-
dc.titleData analytics for working performance analysis in production management-
dc.typeArticle-
dc.identifier.doi10.1016/j.mfglet.2024.09.011-
dc.identifier.scopuseid_2-s2.0-85206239150-
dc.identifier.volume41-
dc.identifier.issueSupplement-
dc.identifier.spage73-
dc.identifier.epage80-
dc.identifier.eissn2213-8463-
dc.identifier.issnl2213-8463-

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