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dc.contributor.authorMantravadi, Soujanya
dc.contributor.authorJansson, Andreas Dyrøy
dc.contributor.authorMøller, Charles
dc.date.accessioned2021-03-26T10:22:31Z
dc.date.available2021-03-26T10:22:31Z
dc.date.issued2020-03-04
dc.description.abstractThe purpose of this paper is to study an Industry 4.0 scenario of ‘technical assistance’ and use manufacturing execution systems (MES) to address the need for easy information extraction on the shop floor. We identify specific requirements for a user-friendly MES interface to develop (and test) an approach for technical assistance and introduce a chatbot with a prediction system as an interface layer for MES. The chatbot is aimed at production coordination by assisting the shop floor workforce and learn from their inputs, thus acting as an intelligent assistant. We programmed a prototype chatbot as a proof of concept, where the new interface layer provided live updates related to production in natural language and added predictive power to MES. The results indicate that the chatbot interface for MES is beneficial to the shop floor workforce and provides easy information extraction, compared to the traditional search techniques. The paper contributes to the manufacturing information systems field and demonstrates a human-AI collaboration system in a factory. In particular, this paper recommends the manner in which MES based technical assistance systems can be developed for the purpose of easy information retrieval.en_US
dc.descriptionDet står preprint på artikkelen, men medforfatter har sjekket og fått bekreftet at den er fagfellevurdert../skm, 26.3.2021en_US
dc.identifier.citationMantravadi, S.: Jansson, A.D.; Møller, C. (2020) User-Friendly MES Interfaces: Recommendations for an AI-Based Chatbot Assistance in Industry 4.0 Shop Floors. <i>Lecture Notes in Computer Science (LNCS),12034</i>en_US
dc.identifier.cristinIDFRIDAID 1900681
dc.identifier.doi10.1007/978-3-030-42058-1_16
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttps://hdl.handle.net/10037/20748
dc.language.isoengen_US
dc.publisherSpringer Natureen_US
dc.relation.journalLecture Notes in Computer Science (LNCS)
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2020 Springer Natureen_US
dc.subjectVDP::Technology: 500en_US
dc.subjectVDP::Teknologi: 500en_US
dc.titleUser-Friendly MES Interfaces: Recommendations for an AI-Based Chatbot Assistance in Industry 4.0 Shop Floorsen_US
dc.type.versionacceptedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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