{"id":12862,"date":"2026-01-14T12:40:29","date_gmt":"2026-01-14T12:40:29","guid":{"rendered":"https:\/\/www.novotek.com\/dk\/?post_type=insights&p=12862"},"modified":"2026-01-14T12:45:18","modified_gmt":"2026-01-14T12:45:18","slug":"hvordan-procesingenioerer-kan-drage-fordel-af-machine-learning-og-analytics","status":"publish","type":"insights","link":"https:\/\/www.novotek.com\/dk\/insight\/hvordan-procesingenioerer-kan-drage-fordel-af-machine-learning-og-analytics\/","title":{"rendered":"Hvordan procesingeni\u00f8rer kan drage fordel af Machine Learning og Analytics"},"content":{"rendered":"
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I dag betyder det at forblive konkurrencedygtig, at man g\u00e5r videre p\u00e5 en digital transformationsrejse, herunder brug af Machine Learning og Analytics<\/a><\/strong>. <\/p>\n<\/div>\n\n

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Med Machine Learning og Analytics kan industrielle organisationer udnytte mulighederne i tingenes internet (IIoT<\/strong><\/a>), optimere driften og skabe st\u00f8rre rentabilitet. Derudover hj\u00e6lper det ogs\u00e5 med at tiltr\u00e6kke og fastholde de bedste medarbejdere.<\/p>\n<\/div>\n\n

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Heldigvis betyder rejsen mod succes med maskinl\u00e6ring og analyser ikke, at procesingeni\u00f8rer pludselig skal blive datavidenskabsfolk. Veletablerede processer og softwareteknologier g\u00f8r analyser tilg\u00e6ngelige for enhver industriel virksomhed.<\/p>\n<\/div>\n\n

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Oprettelse af en digital tvilling<\/h2>\n<\/div>\n\n
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Procesingeni\u00f8rer har enest\u00e5ende faglig ekspertise, som g\u00f8r dem i stand til at udvikle procesmodeller \u2013 ogs\u00e5 kaldet en Process Digital Twin<\/em> \u2013 og fortolke dem. Dette er fundamentet for at forbedre konkurrencefordele og opn\u00e5 succes med analyser.
For at drive analyser og forbedre processer kan procesingeni\u00f8rer anvende deres dom\u00e6neviden inden for fem centrale kapabiliteter:<\/p>\n<\/div>\n\n

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  1. Analyse<\/strong> \u2013 automatisk identifikation af \u00e5rsager til problemer, som accelererer l\u00f8bende forbedringer<\/li>\n<\/div>\n\n
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  2. Overv\u00e5gning<\/strong> \u2013 tidlige advarsler, der reducerer nedetid og spild<\/li>\n<\/div>\n\n
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  3. Forudsigelse<\/strong> \u2013 proaktive handlinger, der forbedrer kvalitet, stabilitet og p\u00e5lidelighed<\/li>\n<\/div>\n\n
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  4. Simulering<\/strong> \u2013 hvad-hvis<\/em>-simulationer hj\u00e6lper med hurtigere og mere pr\u00e6cise beslutninger til lavere omkostning<\/li>\n<\/div>\n\n
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  5. Optimering<\/strong> \u2013 optimale procesindstillinger kan forbedre genneml\u00f8b med op til 10 % samtidig med acceptabel kvalitet<\/li>\n<\/div><\/ol>\n<\/div>\n\n
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    L\u00e6s mere: Digital tvilling af maskiner<\/strong><\/a><\/p>\n<\/div>\n\n

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    Avancerede analyseteknikker hj\u00e6lper industrielle procesingeni\u00f8rer med at udf\u00f8re disse funktioner. For at st\u00f8tte rejsen til maskinl\u00e6ring og analyser tilbyder GE Digital tr\u00e6ning i teknologi, gennem self-service-produktuniversiteter, detaljerede demo-videoer og r\u00e5dgivning om anvendelse. Moderne software er ogs\u00e5 nem at bruge med no-code-funktioner og kan udvides med Python, s\u00e5 ingeni\u00f8rer kan udnytte deres data og forbedre driften \u2013 enten selv eller sammen med eksperter.<\/p>\n<\/div>\n\n

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    Succes med analyser<\/h2>\n<\/div>\n\n
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    Et eksempel i en f\u00f8devarevirksomhed viser, hvordan analyser kan reducere kundeklager med mere end 33 %. Producenten havde problemer med v\u00e6gtkontrol af et kubeformet produkt. Hvis kuberne blev for tunge, mistede virksomheden produktv\u00e6rdi. Hvis de blev for lette, opstod der regulatoriske problemer og formm\u00e6ssige fejl. Ved at bruge software som Proficy CSense<\/strong><\/a> fik teamet et komplet billede af ingrediensdata, procesvariabler og laboratoriedata for at finde kontrollerbare faktorer, der var relateret til v\u00e6gtvariationer. L\u00f8sningen gjorde det muligt at identificere, hvordan materialeforskelle blev korrigeret, og den viden blev indarbejdet i nye standardprocedurer.<\/p>\n<\/div>\n\n

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    Andre eksempler inkluderer brug af forudsigende analyser til at forudsige KPI\u2019er for kritisk kvalitet i papirproduktion og avanceret proceskontrol i mineindustrien, som forbedrede genneml\u00f8bet med 10 %.<\/p>\n<\/div>\n\n

    \n
    \"proficy<\/figure>\n<\/div>\n\n
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    L\u00e6s mere: Proficy CSense<\/a><\/strong><\/p>\n<\/div>\n\n

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    Fra sm\u00e5 projekter til optimering p\u00e5 tv\u00e6rs af fabrikker<\/h2>\n<\/div>\n\n
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    Alle procesingeni\u00f8rer kan og b\u00f8r udvikle deres kompetencer inden for analyser og maskinl\u00e6ring for at forblive konkurrencedygtige \u2013 b\u00e5de som enkeltpersoner og som del af en industriel organisation. Over tid kan man g\u00e5 fra mindre projekter til pilotprojekter og til optimering p\u00e5 tv\u00e6rs af flere produktionssteder ved at anvende analyser dybt i praktiske anvendelser. Kombinationen af analyser og digital proces-tvillingsteknologi afsl\u00f8rer l\u00f8bende nye muligheder for forbedring<\/p>\n<\/div>\n\n

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    Hvad nu?<\/h2>\n<\/div>\n\n
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    Udforsk, hvordan Proficy CSense kan hj\u00e6lpe dig med at analysere, overv\u00e5ge, simulere og optimere b\u00f8rv\u00e6rdier i realtid. Klik p\u00e5 den r\u00f8de knap, tilmeld dig p\u00e5 GE Vernovas produktside og pr\u00f8v gratis i 30 dage.<\/p>\n<\/div>\n\n

    \n
    <\/div>\n<\/div>\n\n
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    Pr\u00f8v Proficy CSense i 30 dage<\/strong><\/a><\/div>\n<\/div><\/div>\n<\/div><\/div>\n<\/div>\n\n
    \n
    <\/div>\n<\/div>\n\n
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    <\/div>\n<\/div><\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"

    Med Machine Learning og Analytics kan industrielle organisationer udnytte mulighederne i tingenes internet (IIoT), optimere driften og skabe st\u00f8rre rentabilitet. Derudover hj\u00e6lper det ogs\u00e5 med at tiltr\u00e6kke og fastholde de bedste medarbejdere.<\/p>\n","protected":false},"featured_media":0,"template":"","insight_category":[30],"class_list":["post-12862","insights","type-insights","status-publish","hentry","insight_category-artikel"],"acf":[],"yoast_head":"\nHvordan kan man drage fordel af Machine Learning og Analytics<\/title>\n<meta name=\"description\" content=\"I dag betyder det at forblive konkurrencedygtig, at man begynder p\u00e5 en digital transformationsrejse og brug af Machine Learning og Analytics.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.novotek.com\/dk\/insight\/hvordan-procesingenioerer-kan-drage-fordel-af-machine-learning-og-analytics\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Hvordan 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