{"id":26007,"date":"2019-03-25T10:52:30","date_gmt":"2019-03-25T09:52:30","guid":{"rendered":"https:\/\/www.ita.es\/proyecto\/bigdataq\/"},"modified":"2023-11-30T09:10:07","modified_gmt":"2023-11-30T08:10:07","slug":"bigdataq","status":"publish","type":"proyecto","link":"https:\/\/www.ita.es\/en\/project\/bigdataq\/","title":{"rendered":"BigDataQ"},"content":{"rendered":"\r\n    <div class=\"wp-block-columns is-style-columns-margen is-layout-flex wp-container-core-columns-is-layout-1 wp-block-columns-is-layout-flex\">\r\n    <div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\r\n    \n<p>\n          <strong>01.- NAME OF THE\nPROJECT<\/strong>\n        <\/p>\n\n\n\n<p>BigDataQ &#8211; Application of <em>Big<\/em> <em>Data<\/em> technologies <em>\nAnalytics<\/em> to improve quality, stability and process capability.<\/p>\n\n\n\n<p>\n          <strong>02.- SUMMARY<\/strong>\n        <\/p>\n\n\n\n<p>Use of 4.0 technologies\nfor the analysis and subsequent implementation of solutions applied to the improvement of the\npainting process to improve quality, stability and process capability\nin an automotive company.<\/p>\n\n\n\n<p>\n          <strong>03.- GENERAL DATA<\/strong>\n        <\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Description: call for proposals to support\ninnovative business clusters for 2018<\/li><li>File number: AEI-010500-2018-140<\/li><li>Date of grant: 12\/13\/2018<\/li><li>Date of execution: 15\/9\/2018 TO 31\/3\/2019<\/li><\/ul>\n\n\n\n<p>\n          <strong>04.- INFORMATION\nTECHNICAL INFORMATION ON THE PROJECT AND ITS OBJECTIVES<\/strong>\n        <\/p>\n\n\n\n<p>The\nThe main objective is to analyze the technological feasibility of the application of the\n<em>Data Analytics<\/em> technologies and in\nspecial <em>Machine Learning<\/em> for the\nimprovement in industrial processes that can be made from various points of view.\nand exploitation of information in the information systems of the company.\nproduction. Currently, there are different <em>Data Analytics<\/em> and <em>BigData<\/em> technologies available\nthat enable the generation of knowledge in the industrial field and involve\na new revolution in decision support tools.<\/p>\n\n\n\n<p>Initially\nThe body painting process is considered as a use case. It will cover\nto look for the relationships between the parameters of the painting process and the\ndefects found in the car bodies (quality) through the application of the\n<em>Data Analytics <\/em>and <em>Machine Learning <\/em>techniques to establish\nrelationships that allow predicting what kind of defects may arise due to\nvariations in the process as well as to analyze the feasibility of implementing\nreactive actions to correct the process by analyzing the data in time\nreal.<\/p>\n\n\n\n<p>The\nprocess parameters may come from a variety of current data sources\n(stations, cabins, vision systems&#8230;) and possible new data sources:\n<em>IoT<\/em> sensors (temperature, humidity, etc.), new data logging, etc.<\/p>\n\n\n\n<p>For\nTo achieve this objective, the following specific objectives are proposed:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Identify\nsources of information about the painting process, with the different lines and\nequipment, with relevant information of the process.<\/li><li>Identify\nquality characteristics that are (or may be) measured in the process and that\nhave (or may have) a relationship with the operating parameters of the cabinets\npaint.<\/li><li>Exploration\nof the information available to search for patterns detectable from\nhistorical data available.<\/li><li>Identify\nopportunities for process improvement through knowledge-based process improvement\nin the information available.<\/li><li>Settle\nthe basis for the generation of projects for the exploitation of information in the\nproduction systems for the improvement of process capability by means of\nthe implementation of technologies related to Big Data Analytics.<\/li><li>Spread the word\nthe opportunities for process improvement and the methodology and results of this\nproject to the rest of the CAAR companies.<\/li><\/ul>\n\n\n\n<p>Like\nThe evaluation and assessment of these specific objectives will be carried out as a result of the\nanalysis of the technological feasibility of Big data and Systems technologies.\nCognitive for the prediction of failures in painting processes.<\/p>\n\n\n\n<p>Thus,\nthe fulfillment of the objectives of this project, in which new technologies are analyzed\n<em>Data Analytics<\/em> and <em>Big Data<\/em> technologies, will enable the definition of\nnew applications with three main objectives oriented to reinforce the\ncompetitiveness of the Aragonese automotive industrial sector, the raison d&#8217;\u00eatre of\nCAAR:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Increase\nvalue added and employment (in quantity and quality) in regional industry.<\/li><li>Please visit\nthe adaptation of the Aragonese model for the industry of the future by developing a\noffer of technological solutions.<\/li><li>Develop\ndifferential competitive levers beyond labor cost for\nto promote the Aragonese automotive industry and boost its exports.<strong><\/strong><\/li><\/ul>\n\n\n\n<p>\n          <strong>05.- LEADER OF THE\nPROJECT AND PARTNERS (CONSORTIUM)<\/strong>\n        <\/p>\n\n\n\n<p>Applicant:\nCAAR<\/p>\n\n\n\n<p>Participants:\nOPEL SPAIN, ITAINNOVA<\/p>\n\n\n\n<p>\n          <strong>06.- FPC PROGRAM\nTO WHICH THE PROJECT BELONGS<\/strong>\n        <\/p>\n\n\n\n<p>Order of August 1, 2018, by\nwhich announces the 2018 call for applications for grants\nestablished for the support of innovative business clusters for the purpose of\nto improve the competitiveness of small and medium-sized enterprises.<\/p>\n\n\n\n<p>\n          <strong>07.- BUDGET\nGENERAL AND SPECIFIC FOR ITAINNOVA<\/strong>\n        <\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Total bankable budget of the project: 70,325\neuros<\/li><\/ul>\n\n\n\n<p>\n          <strong>08.- FINANCING<\/strong>\n        <\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Total grant approved for the project: 49,229\neuros<\/li><\/ul>\n\n\n\n<p>\n          <strong>09.- MOTTO<\/strong>\n        <\/p>\n\n\n\n<p>This project has been co-financed by the Ministry of Foreign Affairs and the Ministry of Foreign Affairs.\nIndustry, Trade and Tourism, as part of the aid established to support\nto innovative business clusters with the aim of improving competitiveness\nof small and medium-sized enterprises<\/p>\n\n\n\n<p>\n          <strong>09.- LOGOS<\/strong>\n        <\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/www.ita.es\/wp-content\/uploads\/2019\/03\/CAAR.jpg\" alt=\"\" class=\"wp-image-2592\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/www.ita.es\/wp-content\/uploads\/2019\/03\/FEDER_UnaManeraDeHacerEuropa.png\" alt=\"\" class=\"wp-image-2593\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/www.ita.es\/wp-content\/uploads\/2019\/03\/AAEEII.png\" alt=\"\" class=\"wp-image-2389\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/www.ita.es\/wp-content\/uploads\/2019\/03\/logo-direccion-AEI.png\" alt=\"\" class=\"wp-image-2198\"\/><\/figure>\n\r\n    <\/div>\r\n    <\/div>\r\n    ","protected":false},"featured_media":26008,"template":"","categoria_proyecto":[460],"class_list":["post-26007","proyecto","type-proyecto","status-publish","has-post-thumbnail","hentry","categoria_proyecto-proyectos-de-fpc-nacionales"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.7 (Yoast SEO v24.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>BigDataQ - ITA<\/title>\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.ita.es\/en\/project\/bigdataq\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"BigDataQ\" \/>\n<meta property=\"og:description\" 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