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<journal-id journal-id-type="publisher">global-journal-of-research-in-engineering-g-industrial-engineering</journal-id>
<journal-title-group>
<journal-title>Global Journal of Research in Engineering - G: Industrial Engineering</journal-title>
</journal-title-group>
<issn publication-format="print">0975-5861</issn>
<issn publication-format="electronic">2249-4596</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
<self-uri xlink:href="https://globaljournals.org/journal-seo-export/jats/55674.xml" />
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<article-id pub-id-type="publisher-id">55674</article-id>
<title-group>
<article-title>Optimizing Smart Factories: A Data-Driven Approach</article-title>
<subtitle>Industry 4.0 Impact on Finnish SME Competitiveness</subtitle>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Heilala</surname><given-names>Janne</given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
<contrib contrib-type="author"><name><surname>Salminen</surname><given-names>Antti</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Bessa</surname><given-names>Wallace Moreira</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Kantola</surname><given-names>Jussi</given-names></name></contrib>
</contrib-group>
<aff id="aff1">FINLAND</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2024-01-10">
<day>10</day>
<month>01</month>
<year>2024</year>
</pub-date>
<volume>23</volume>
<issue>G3</issue>
<fpage>15</fpage>
<lpage>30</lpage>
<abstract><p>Since the first industrial revolution, the leading role of emerging technologies has been highlighted in modernizing the industry and developing the workforce. This study explores the impact of Industry 4.0 digital technologies on manufacturing competitiveness, focusing on Finnish SMEs within the EU with a sample (n = 123). It utilizes extensive 2022 European Manufacturing Survey (EMS22) data. Advanced statistical techniques reveal complex connections between automation, competitive edge on services, and innovation models, among other factors. Robust statistical methods, including component and reliability analyses, reinforced the findings. The conclusion offers critical insights and identifies areas for further research in combining innovative manufacturing practices with technology education.</p></abstract>
<kwd-group kwd-group-type="author-generated">
<kwd>industry 4.0; competitiveness and employment</kwd>
<kwd>supply chain contracts</kwd>
<kwd>human resources</kwd>
<kwd>training and competence</kwd>
</kwd-group>
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<self-uri content-type="html" xlink:href="https://globaljournals.org/scholarly-articles/optimizing-smart-factories-a-data-driven-approach/" />
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<title>Full Text</title>
<p>Since the first industrial revolution, the leading role of emerging technologies has been highlighted in modernizing the industry and developing the workforce. This study explores the impact of Industry 4.0 digital technologies on manufacturing competitiveness, focusing on Finnish SMEs within the EU with a sample (n = 123). It utilizes extensive 2022 European Manufacturing Survey (EMS22) data. Advanced statistical techniques reveal complex connections between automation, competitive edge on services, and innovation models, among other factors. Robust statistical methods, including component and reliability analyses, reinforced the findings. The conclusion offers critical insights and identifies areas for further research in combining innovative manufacturing practices with technology education.</p>
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</body>
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