{"id":236146,"date":"2026-10-07T11:46:06","date_gmt":"2026-10-07T11:46:06","guid":{"rendered":"https:\/\/airtificial.com\/aerospace-defense\/bpi-system-project\/"},"modified":"2026-10-07T11:46:06","modified_gmt":"2026-10-07T11:46:06","slug":"bpi-system-project","status":"publish","type":"page","link":"https:\/\/airtificial.com\/aerospace-defense\/en\/bpi-system-project\/","title":{"rendered":"BPI SYSTEM Project"},"content":{"rendered":"<p><strong>DIGITALIZATION OF AERONAUTICAL MANUFACTURING PROCESSES THROUGH A BIDIRECTIONAL INTELLIGENT PRODUCTION SYSTEM<\/strong><br \/>\n<strong>File:<\/strong> IC4-010000-2017-6<br \/>\n<strong>Project funded by the Ministry of Economy, Industry and Competitiveness<\/strong><\/p>\n<p>The objective of the project is to<strong> integrate a system that allows predicting, controlling, planning and producing intelligently<\/strong> to help reduce production costs and non-quality costs of the plant through:<\/p>\n<ul>\n<li><strong>Reducing manufacturing times:<\/strong> Manufacturing work will begin on each of the manufacturing orders at the right time to meet the agreed delivery without interrupting the plant workflow and the workload that other processes may receive, so that most orders enter a Just in Time (JIT) environment.<\/li>\n<li><strong>Inventory reduction: <\/strong>Through production scheduling, all types of work stocks will be reduced, but especially WIP and PM, as there will be fewer batches in process in the plants, as well as the reuse and redistribution of productive resources. The system&#8217;s predictive capability will allow data-driven analysis to avoid any compromise between efficiency and flexibility. <\/li>\n<li>Improvement in production control and monitoring: Production scheduling will allow plant simulations to be carried out, adjusting production planning in the event of unexpected changes in demand or manufacturing failures.<\/li>\n<li><strong>Control in the use of resources and in the efficiency of resources: <\/strong>The fact of having a system with which we can determine what the level of efficiency of an operation will be based on the efficiency factors of the products, will allow us to define and visualize decision scenarios in these operations.<\/li>\n<\/ul>\n<p>The expected result of the integration of software and hardware solutions with the plant&#8217;s ERP is the improvement in the manufacturing and resource control processes, with a final objective of <strong>increasing the plant&#8217;s productivity by 5%, making Artificial a benchmark for Factory 4.0.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>DIGITALIZATION OF AERONAUTICAL MANUFACTURING PROCESSES THROUGH A BIDIRECTIONAL INTELLIGENT PRODUCTION SYSTEM File: IC4-010000-2017-6 Project funded by the Ministry of Economy, Industry and Competitiveness The objective of the project is to integrate a system that allows predicting, controlling, planning and producing intelligently to help reduce production costs and non-quality costs of the plant through: Reducing manufacturing [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-236146","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>BPI SYSTEM Project - Aerospace &amp; 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