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dc.contributor.advisorPulkkinen, Mirja
dc.contributor.advisorRantalainen, Lasse
dc.contributor.authorSillanpää, Kristiina
dc.date.accessioned2021-06-17T09:47:34Z
dc.date.available2021-06-17T09:47:34Z
dc.date.issued2021
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/76637
dc.description.abstractThe purpose of this exploratory thesis study is to observe a manufacturing process area in its current state and the opportunities to improve the process area by implementing Artificial Intelligence (AI), Machine Learning (ML) and other technical solutions in industrial manufacturing companies. The theoretical baseline is based on process management, process improvement solutions, AI, and ML. The research is centred around studying industry research and case studies with similar issues and goals as the case company. Data collection was conducted through interviews and observing current processes within the case company. The data was analyzed through compiling all the interview data to understand the current issues and determine the goal of the case company and then determine the best solution based on data and research. The empirical section explored how AI and ML can be implemented, managed, and evaluated for optimization in an industrial manufacturing context. Literature insights were compared with the results from my observations in the discussion section. The answer to the research questions, the limitations of the study, and future research questions are covered in the conclusion.en
dc.format.extent52
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subject.otheroptimization
dc.subject.otherlead time
dc.subject.otherdata management
dc.titleManufacturing process improvement through technical solutions : a case study
dc.identifier.urnURN:NBN:fi:jyu-202106173835
dc.type.ontasotPro gradu -tutkielmafi
dc.type.ontasotMaster’s thesisen
dc.contributor.tiedekuntaInformaatioteknologian tiedekuntafi
dc.contributor.tiedekuntaFaculty of Information Technologyen
dc.contributor.laitosInformaatioteknologiafi
dc.contributor.laitosInformation Technologyen
dc.contributor.yliopistoJyväskylän yliopistofi
dc.contributor.yliopistoUniversity of Jyväskyläen
dc.contributor.oppiaineTietojärjestelmätiedefi
dc.contributor.oppiaineInformation Systems Scienceen
dc.rights.copyrightJulkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty.fi
dc.rights.copyrightThis publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.en
dc.type.publicationmasterThesis
dc.contributor.oppiainekoodi601
dc.subject.ysotietojenkäsittely
dc.subject.ysoprosessit
dc.subject.ysokoneoppiminen
dc.subject.ysotekoäly
dc.subject.ysodata processing
dc.subject.ysoprocesses
dc.subject.ysomachine learning
dc.subject.ysoartificial intelligence
dc.format.contentfulltext
dc.type.okmG2


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