{"id":4767,"date":"2023-11-28T09:55:21","date_gmt":"2023-11-28T08:55:21","guid":{"rendered":"https:\/\/www.aiknow.io\/mes-for-a-company-that-produces-common-consumer-lifestyle-products-worldwide\/"},"modified":"2023-12-10T06:54:44","modified_gmt":"2023-12-10T05:54:44","slug":"mes-for-a-company-that-produces-common-consumer-lifestyle-products-worldwide","status":"publish","type":"post","link":"https:\/\/www.aiknow.io\/en\/mes-for-a-company-that-produces-common-consumer-lifestyle-products-worldwide\/","title":{"rendered":"MES for a company that produces common consumer\/lifestyle products worldwide"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"4767\" class=\"elementor elementor-4767 elementor-3973\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f2de026 e-flex e-con-boxed e-con e-parent\" data-id=\"f2de026\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-67fc3b6 e-con-full e-flex e-con e-child\" data-id=\"67fc3b6\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2dd56ac3 elementor-widget elementor-widget-text-editor\" data-id=\"2dd56ac3\" data-element_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<h4>NEED<\/h4>\n<p>Visualize production and qualitative data and the alarms on all the machining centers in the production line in real-time and in a centralized way. Generate alerts and alarms and support decision making processes through dynamic gathering and clusterization of the different semi-finished and finished products.<\/p>\n<h4>OPERATING CONTEXT<\/h4>\n<p>Production line that manufactures heated blankets from the heating element\u2019s first production phases, to testing of the final product.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9408f80 e-con-full e-flex e-con e-child\" data-id=\"9408f80\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-da780bd elementor-widget elementor-widget-image\" data-id=\"da780bd\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1000\" height=\"571\" src=\"https:\/\/www.aiknow.io\/wpvt\/wp-content\/uploads\/2023\/09\/aiknow-use-cases-consumer-lifestyle.jpg\" class=\"attachment-large size-large wp-image-4760\" alt=\"\" srcset=\"https:\/\/www.aiknow.io\/wpvt\/wp-content\/uploads\/2023\/09\/aiknow-use-cases-consumer-lifestyle.jpg 1000w, https:\/\/www.aiknow.io\/wpvt\/wp-content\/uploads\/2023\/09\/aiknow-use-cases-consumer-lifestyle-300x171.jpg 300w, https:\/\/www.aiknow.io\/wpvt\/wp-content\/uploads\/2023\/09\/aiknow-use-cases-consumer-lifestyle-768x439.jpg 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3218703d e-flex e-con-boxed e-con e-parent\" data-id=\"3218703d\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bab66b4 elementor-widget elementor-widget-text-editor\" data-id=\"bab66b4\" data-element_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<h4>SOLUTION PROVIDED BY AIKNOW<\/h4>\n<p>Design and development of a tailor-made MES (Manufacturing Execution System),<br \/>based on the needs of the client and the peculiarities of the production line.<\/p>\n<p>Specifically, the implemented characteristics included:<\/p>\n<ul>\n<li>Gathering production, quantitative and alarm data from all the different machining centers<\/li>\n<li>Aggregation and presentation of the data on a single dashboard<\/li>\n<li>Ability to calculate derived metrics at runtime using high-performance calculation engines<\/li>\n<li>Application of ML techniques to obtain predictions on production volumes and possible failures<\/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\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>NEED Visualize production and qualitative data and the alarms on all the machining centers in the production line in real-time and in a centralized way. Generate alerts and alarms and support decision making processes through dynamic gathering and clusterization of the different semi-finished and finished products. OPERATING CONTEXT Production line that manufactures heated blankets from [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":4768,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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