{"id":2102,"date":"2020-03-12T13:39:43","date_gmt":"2020-03-12T12:39:43","guid":{"rendered":"https:\/\/cq.be\/trainings\/design-of-experiments-custom-design\/"},"modified":"2020-06-12T00:15:39","modified_gmt":"2020-06-11T22:15:39","slug":"design-of-experiments-custom-design","status":"publish","type":"trainings","link":"https:\/\/cq.be\/nl\/trainingen\/design-of-experiments-custom-design\/","title":{"rendered":"Design of Experiments &#8211; Custom Design"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"2102\" class=\"elementor elementor-2102 elementor-166\" data-elementor-post-type=\"trainings\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3aaae991 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3aaae991\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-563cb83\" data-id=\"563cb83\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-314259b9 elementor-widget elementor-widget-text-editor\" data-id=\"314259b9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3>DOELSTELLING<\/h3>\n<p>In deze cursus komt een aantal uitbreidingen van de standaard design aanpak aan bod (behandeld in DOE-I). Deze uitbreiding biedt een oplossing in frequent voorkomende praktijksituaties, met name categorische variabelen (bv. type additief) en situaties met gecombineerde constraints op de factoren. Met de verworven kennis van DOE-I en van deze uitbreiding, hebben de deelnemers voldoende bagage om voor nagenoeg elke praktijksituatie een geschikt design op te stellen en te analyseren.<\/p>\n<h3>DOELPUBLIEK EN VOORKENNIS<\/h3>\n<p>Deze cursus is bedoeld voor wie in de praktijk te maken heeft met categorische variabelen en\/of situaties waarvoor symmetrische designs niet mogelijk zijn. Van de deelnemers aan deze cursus wordt verwacht dat ze DOE-I gevolgd hebben. De voorbeelden zijn ontleend uit de procesindustrie en zal mensen uit die wereld het meest aanspreken.<\/p>\n<h3>CURSUSOPZET<\/h3>\n<p>De cursus bouwt verder op wat in DOE-I behandeld werd. In het deel optimaal design wordt vooral ingegaan op het genereren en evalueren van optimale designs en minder op de statistische analyse van de experimenten.<br \/>\nDe theorie wordt ook telkens ge\u00efllustreerd aan de hand van oefeningen op PC.<\/p>\n<h3>CURSUSINHOUD<\/h3>\n<ul>\n<li>Categorische variabelen: klassieke designs en de analyse hiervan<\/li>\n<li>Evaluatie van designs: hoe nauwkeurig zal het resulterende model zijn, welke effecten kan ik eenduidig bepalen, conditiegetal, VIF, D\/G Effici\u00ebntie, Fraction of Design Space (FDS)<\/li>\n<li>Optimale designs: optimale configuratie van experimenten indien er constraints aan het systeem werden opgelegd en symmetrische designs niet mogelijk zijn<\/li>\n<\/ul>\n<h3>CASES &amp; TOEPASSINGEN<\/h3>\n<ul>\n<li>studies waarin een keuze gemaakt moet worden uit diverse alternatieven, zoals het materiaal dat wordt gebruikt, of het apparaat waarmee wordt gewerkt, of de geometrie van de reactor, of de locatie waar de experimenten worden uitgevoerd<\/li>\n<li>studies met heel specifieke eisen aan de instellingen die kunnen worden onderzocht, niet alleen: \u201cde temperatuur moet liefst tussen de 70 en de 80 \u00b0C liggen\u201d, maar ook: \u201cbij lage temperatuur doen we wat we willen, maar bij hoge temperatuur kunnen we de koeling niet laag zetten\u201d<\/li>\n<\/ul>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Categorische variabelen en optimal design<\/p>\n","protected":false},"featured_media":1622,"template":"","training_categories":[],"training_tags":[],"class_list":["post-2102","trainings","type-trainings","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - 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