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dc.contributor.authorAnosike, Anthony
dc.contributor.authorAlafropatis, Konstantinos
dc.contributor.authorGarza-Reyes, Jose Arturo
dc.contributor.authorKumar, Anil
dc.contributor.authorLuthra, Sunil
dc.contributor.authorRocha-Lona, Luis
dc.date.accessioned2021-04-15T13:59:24Z
dc.date.available2021-04-15T13:59:24Z
dc.date.issued2021-04-13
dc.identifier.citationAnosike, A., Alafropatis, K., Garza-Reyes, J.A., Kumar, A., Luthra, S., Rocha-Lona, L. (2021). 'Lean Manufacturing and Internet of Things – A Synergetic or Antagonist Relationship?'. Computers in Industry, 129, pp. 1-15.en_US
dc.identifier.issn0166-3615
dc.identifier.doi10.1016/j.compind.2021.103464
dc.identifier.urihttp://hdl.handle.net/10545/625711
dc.description.abstractThis paper explores the relationship between five LM methods (JIT, TPM, Autonomation, VSM and Kaizen) and three IoT technologies (RFID, WSN and Middleware) and the implications that arise from their combination. Four hypotheses and four complimentary research questions were formulated and tested. 136 responses were obtained through a questionnaire survey and analysed using descriptive statistics, 2-Sample proportion, Kruskal-Wallis, ANOVA and Pairwise comparison tests. The findings indicate that IoT can significantly improve the operational performance of manufacturing organisations. The findings advocate that all LM methods, apart from Kaizen, benefit from improved effectiveness by combining them with IoT. The results suggest that this can be attributed to the general perception about IoT, which despite the support and benefits it provides to people, is seen to be reducing human involvement whereas Kaizen is seen to be more people-focused. Improvements in information flow, decision-making and productivity were also found to be the most important motivations and benefits of combining LM methods with IoT. The findings of this research can be used by LM organisations that wish to embark into the new digitalised manufacturing era and businesses seeking to improve their performance through the combination of traditional efficiency-based methods and I4.0 technologies.en_US
dc.description.sponsorshipN/Aen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.urlhttps://www.journals.elsevier.com/computers-in-industryen_US
dc.relation.urlhttps://www.sciencedirect.com/science/article/pii/S0166361521000713en_US
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectLean Manufacturingen_US
dc.subjectInternet of Thingsen_US
dc.subjectIndustry 4.0en_US
dc.titleLean Manufacturing and Internet of Things – A Synergetic or Antagonist Relationship?en_US
dc.typeArticleen_US
dc.contributor.departmentUniversity of Derbyen_US
dc.contributor.departmentUniversity of Warwicken_US
dc.contributor.departmentLondon Metropolitan Universityen_US
dc.contributor.departmentCh. Ranbir Singh State Institute of Engineering & Technology, Jhajjar-124103, Haryana, Indiaen_US
dc.contributor.departmentESCA Santo Tomás, Instituto Politécnico Nacional, Mexico City, Mexicoen_US
dc.identifier.journalComputers in Industyen_US
dcterms.dateAccepted2021-04-06
dc.author.detail780891en_US


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CC0 1.0 Universal
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