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dc.contributor.authorŞahin, Ahmet
dc.contributor.authorSayımlar, Ayşe Dilara
dc.contributor.authorTeksan, Zehra Melis
dc.contributor.authorAlbey, Erinç
dc.date.accessioned2020-08-26T10:06:45Z
dc.date.available2020-08-26T10:06:45Z
dc.date.issued2019
dc.identifier.issn2405-8963en_US
dc.identifier.urihttp://hdl.handle.net/10679/6833
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S2405896319314648
dc.description.abstractIn this work we aim to predict quality levels of incoming batches of a selected product type to a white goods manufacturer from a third party supplier. We apply a Markov Model that captures the quality level of the incoming batch in order to predict the quality status of the future arrivals. The ultimate aim is to generate reliable predictions for the future incoming batches, so that the manufacturing company could warn its supplier if the predictions indicate a significant deterioration in the quality. Applied methodology is compared to several benchmark approaches and its superior performance is shown using a benchmark dataset from the literature and the dataset provided by the manufacturing company. Proposed algorithm performs better compared to benchmarks in detecting the instances with quality level falling outside the tolerances in the validation data; and proves itself as a promising approach for the company.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.ispartofIFAC-PapersOnLine
dc.rightsopenAccess
dc.titleA Markovian approach for time series prediction for quality controlen_US
dc.typeConference paperen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-0152-7264 & YÖK ID 144699) Teksan, Melis
dc.contributor.authorID(ORCID 0000-0001-5004-0578 & YÖK ID 144710) Albey, Erinç
dc.contributor.ozuauthorTeksan, Zehra Melis
dc.contributor.ozuauthorAlbey, Erinç
dc.identifier.volume52en_US
dc.identifier.issue13en_US
dc.identifier.startpage1902en_US
dc.identifier.endpage1907en_US
dc.identifier.wosWOS:000504282400323
dc.identifier.doi10.1016/j.ifacol.2019.11.480en_US
dc.subject.keywordsMarkov chainsen_US
dc.subject.keywordsTime seriesen_US
dc.subject.keywordsPredictionen_US
dc.subject.keywordsQuality controlen_US
dc.subject.keywordsIndustry 4.0en_US
dc.identifier.scopusSCOPUS:2-s2.0-85078906155
dc.contributor.ozugradstudentŞahin, Ahmet
dc.contributor.ozugradstudentSayımlar, Ayşe Dilara
dc.contributor.authorMale2
dc.contributor.authorFemale2
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff and Graduate Student


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