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dc.contributor.authorRomero, David
dc.contributor.authorGaiardelli, Paolo
dc.contributor.authorPowell, Daryl
dc.contributor.authorWuest, Thorsten
dc.contributor.authorThürer, Matthias
dc.date.accessioned2020-04-24T07:05:37Z
dc.date.available2020-04-24T07:05:37Z
dc.date.created2020-01-27T14:17:47Z
dc.date.issued2019
dc.identifier.citationIFAC-PapersOnLine. 2019, 52 (13), 899-903.en_US
dc.identifier.issn2405-8963
dc.identifier.urihttps://hdl.handle.net/11250/2652303
dc.description.abstractThis paper proposes Jidoka (automation with a human touch) as the main guiding principle for SMEs digital transformation; understood as the continuous increase of levels of automation and intelligence at their shopfloors in an economic, social and technological sustainable way. It stresses the forgotten dual nature of Jidoka as an ‘automation approach’ as well as a ‘learning system’, capable of simultaneously improving the efficiency of manufacturing processes and cultivating the workforce skills needed to develop and/or adopt advanced automation solutions. The paper aims to remind the developers of automatic control systems in the Industry 4.0 era that it is only through human-machine mutual learning, characterized by cyber-physical-social interactions (cf. Jidoka 4.0 Systems), that sustainable higher levels of automation and intelligence can be achieved. Human operators need to know the processes that are being automated, so that, at the same time, this knowledge can be continuously updated and processes improved as digital technologies evolve: “Incorporating human learning, gives automation its human touch”.en_US
dc.language.isoengen_US
dc.publisherIFAC (International Federation of Automatic Control)en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleRethinking Jidoka Systems under Automation and Learning Perspectives in the Digital Lean Manufacturing Worlden_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber899-903en_US
dc.source.volume52en_US
dc.source.journalIFAC-PapersOnLineen_US
dc.source.issue13en_US
dc.identifier.doi10.1016/j.ifacol.2019.11.309
dc.identifier.cristin1783193
dc.relation.projectNorges forskningsråd: 237900en_US
dc.description.localcode© 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. Under a Creative Commons CC-BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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