{"id":42398,"date":"2022-12-02T07:55:29","date_gmt":"2022-12-02T07:55:29","guid":{"rendered":"https:\/\/www.bravent.net\/?page_id=42398"},"modified":"2026-02-19T16:14:36","modified_gmt":"2026-02-19T16:14:36","slug":"aerospace-industry","status":"publish","type":"page","link":"https:\/\/www.bravent.net\/en\/industries\/aerospace-industry\/","title":{"rendered":"Aerospace Industry"},"content":{"rendered":"
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Aerospace Industry<\/h1><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section>
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What is Aerospace Industry 4.0?.|<\/span>

Aerospace Industry 4.0 is part of that fourth industrial revolution known as Industry 4.0, which has made use of the most advanced IT to optimize its entire value chain.<\/span><\/p>\n<\/div><\/div><\/div><\/div><\/section>

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Control of the production line<\/p>\n<\/div><\/div><\/div><\/div>

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Quality control of manufacturing and maintenance processes<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Automation and robotization<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div><\/section>

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Empowerment of line workers<\/p>\n<\/div><\/div><\/div><\/div>

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Optimization of maintenance plans<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Use of digital twins for prototyping and testing<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Improving confidence in the supply chain<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div><\/section>[\/vc_section][vc_section full_width=”stretch_row” css=”.vc_custom_1666762502814{padding-top: 32px !important;padding-bottom: 32px !important;background-color: #f7f7f7 !important;}”]

Main challenges of the sector in the Aeronautics and Aerospace Industry 4.0 .|<\/span><\/div><\/div><\/div><\/section>
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Reduction of aircraft and component downtime<\/p>\n<\/div><\/div><\/div><\/div>

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Optimization of production and maintenance schedules<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Automated quality inspection<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Detection of production line anomalies<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Generation of reliable and secure parts authenticity verification records<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div><\/section>

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Improved remote work capabilities of maintenance mechanics<\/p>\n<\/div><\/div><\/div><\/div>

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Reduced training time for production and maintenance mechanics<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Simulation of running and operating conditions<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Leverage organizational knowledge<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Real-time remote monitoring and control of on-board equipment<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div><\/section>[\/vc_section][vc_section full_width=”stretch_row” css=”.vc_custom_1666189662164{padding-top: 32px !important;padding-bottom: 32px !important;background-color: #020627 !important;}”]

What technologies are transforming the aeronautical sector into Aerospace Industry 4.0?<\/span><\/div><\/div><\/div><\/section>[\/vc_section][vc_section full_width=”stretch_row_content” css=”.vc_custom_1666190068348{margin-top: 0px !important;margin-right: 0px !important;margin-bottom: 0px !important;margin-left: 0px !important;padding-top: 0px !important;padding-right: 0px !important;padding-bottom: 0px !important;padding-left: 0px !important;background-color: #020627 !important;}”]

Business Intelligence
\n<\/span>& Data Analytics<\/span><\/p>\n<\/div><\/div><\/div><\/div>

Artificial <\/span>
\nIntelligence <\/span><\/p>\n<\/div><\/div><\/div><\/div>

Extended <\/span>
\nRealities <\/span><\/p>\n<\/div><\/div><\/div><\/div>

Robotic <\/span>
\nProcess Automation <\/span><\/p>\n<\/div><\/div><\/div><\/div>

IoT<\/span><\/p>\n<\/div><\/div><\/div><\/div>

Digital<\/span>
\nTwins<\/span><\/p>\n<\/div><\/div><\/div><\/div><\/section>

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Data-driven strategies for companies in the aerospace industry.|<\/h4>

.|<\/span><\/strong> Discover the knowledge hidden in the data, from any source.<\/p>\n

.|<\/span><\/strong> Do it in a collaborative way among all participants.
\n.|<\/span><\/strong> Enable all levels of the organization to make decisions efficiently.<\/p>\n

.|<\/span><\/strong> Emplear capacidades de IA para acceder a centeneras de visualizaciones de\u00a0datos de forma intuitiva\u200b.<\/p>\n

.|<\/span><\/strong> Employ AI capabilities to access hundreds of data visualizations intuitively.<\/p>\n<\/div><\/div><\/div><\/div>

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Data-driven strategies for companies in the aerospace industry.|<\/span><\/div><\/div><\/div><\/section>
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Discover the knowledge hidden in the data, from any source.<\/p>\n<\/div><\/div><\/div><\/div>

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Do it in a collaborative way among all participants.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Enable all levels of the organization to make decisions efficiently.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Employ AI capabilities to access hundreds of data visualizations intuitively.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Reduce reporting times and complex solutions.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div><\/section>[\/vc_section][vc_section full_width=”stretch_row” css=”.vc_custom_1635929310178{margin-top: 0px !important;margin-right: 0px !important;margin-bottom: 0px !important;margin-left: 0px !important;padding-top: 0px !important;padding-right: 0px !important;padding-bottom: 0px !important;padding-left: 0px !important;background-color: #dadd02 !important;}”]

Power BI<\/span>[vc_separator color=”custom” border_width=”2″ accent_color=”#020726″ el_class=”reto-solucion”]The platform that makes it easy for you to understand your business data.<\/span><\/div><\/div><\/div><\/section>[\/vc_section][vc_section css=”.vc_custom_1666706676310{margin-top: 0px !important;margin-bottom: 0px !important;padding-top: 0px !important;padding-right: 24px !important;padding-bottom: 0px !important;padding-left: 24px !important;}”]
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Power BI<\/p>\n<\/div>

Aerospace: Inventory Management<\/h4>

.|<\/strong> <\/span>Total inventory values<\/p>\n<\/div>[vc_separator color=”custom” css=”.vc_custom_1659511456313{margin-bottom: 12px !important;}” accent_color=”rgba(151,151,151,0.39)”]

.|<\/strong> <\/span>Quantities stocked by category<\/p>\n<\/div>[vc_separator color=”custom” css=”.vc_custom_1659511456313{margin-bottom: 12px !important;}” accent_color=”rgba(151,151,151,0.39)”]

.|<\/strong> <\/span>Stock replenishment costs<\/p>\n<\/div>[vc_separator color=”custom” css=”.vc_custom_1659511456313{margin-bottom: 12px !important;}” accent_color=”rgba(151,151,151,0.39)”]

.|<\/strong> <\/span>Inventory distribution in the various categories<\/p>\n<\/div><\/div><\/div><\/div><\/div>[\/vc_tta_section][vc_tta_section title=”Secci\u00f3n 3″ tab_id=”1666707999266-e84b4ac8-1b0b9d24-8b3a” el_class=”seccion-slider”]

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Power BI<\/p>\n<\/div>

Aerospace: project management<\/h4>

.|<\/strong> <\/span>Project portfolio.<\/p>\n<\/div>[vc_separator color=”custom” css=”.vc_custom_1659511456313{margin-bottom: 12px !important;}” accent_color=”rgba(151,151,151,0.39)”]

.|<\/strong> <\/span>Gantt charts per project.<\/p>\n<\/div>[vc_separator color=”custom” css=”.vc_custom_1659511456313{margin-bottom: 12px !important;}” accent_color=”rgba(151,151,151,0.39)”]

.|<\/strong> <\/span>Cost analytics.<\/p>\n<\/div>[vc_separator color=”custom” css=”.vc_custom_1659511456313{margin-bottom: 12px !important;}” accent_color=”rgba(151,151,151,0.39)”]

.|<\/strong> <\/span>Risk and resource management.<\/p>\n<\/div>[vc_separator color=”custom” css=”.vc_custom_1659511456313{margin-bottom: 12px !important;}” accent_color=”rgba(151,151,151,0.39)”]

.|<\/strong> <\/span>Staff assignments.<\/p>\n<\/div>[vc_separator color=”custom” css=”.vc_custom_1659511456313{margin-bottom: 12px !important;}” accent_color=”rgba(151,151,151,0.39)”]

.|<\/strong> <\/span>Demand forecasting<\/p>\n<\/div>[vc_separator color=”custom” css=”.vc_custom_1659511456313{margin-bottom: 12px !important;}” accent_color=”rgba(151,151,151,0.39)”]

.|<\/strong> <\/span>Agregate economic and demand forecasting.<\/p>\n<\/div><\/div><\/div><\/div><\/div>[\/vc_tta_section][vc_tta_section title=”Secci\u00f3n 4″ tab_id=”1666760500954-6cb0bb9e-b8279d24-8b3a” el_class=”seccion-slider”]

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Power BI<\/p>\n<\/div>

Aerospecialty: maintenance of production equipment<\/h4>

.|<\/strong> <\/span>The supply process is key to production management in the industrial sector.<\/p>\n<\/div>[vc_separator color=”custom” css=”.vc_custom_1659511456313{margin-bottom: 12px !important;}” accent_color=”rgba(151,151,151,0.39)”]

.|<\/strong> <\/span>This process can be fully analyzed through this set of dashboards, which provide a complete breakdown of tasks, follow-up of schedules, delays, etc.<\/p>\n<\/div><\/div><\/div><\/div><\/div>[\/vc_tta_section][vc_tta_section title=”Secci\u00f3n 4″ tab_id=”1666764378164-ca7f5fa6-0765″ el_class=”seccion-slider”]

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Power BI<\/p>\n<\/div>

Aerospace sector: analysis of the supply process<\/h4>

.|<\/strong> <\/span>Directly applicable to the industry due to the relevance of the analysis of costs and maintenance times of auxiliary and main manufacturing equipment, assembly, etc.<\/p>\n<\/div>[vc_separator color=”custom” css=”.vc_custom_1659511456313{margin-bottom: 12px !important;}” accent_color=”rgba(151,151,151,0.39)”]

.|<\/strong> <\/span>Provides comparisons by period, including the acquisition of spare parts and labor.<\/p>\n<\/div>[vc_separator color=”custom” css=”.vc_custom_1659511456313{margin-bottom: 12px !important;}” accent_color=”rgba(151,151,151,0.39)”]

.|<\/strong> <\/span>Compares with initially planned budgets.<\/p>\n<\/div><\/div><\/div><\/div><\/div>[\/vc_tta_section][\/vc_tta_pageable]<\/div><\/div><\/div><\/section>[\/vc_section][vc_section full_width=”stretch_row” css=”.vc_custom_1666764918647{margin-top: 0px !important;margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;background-color: #f7f7f7 !important;}”]

Data strategy in the aerospace industry.|<\/span><\/div><\/div><\/div><\/div>
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The aerospace industry generates huge amounts of data at each node of the value chain, which would require different data processing.<\/div><\/div><\/div>
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It is essential that this data flows and converges between all actors involved in the supply chain to ensure transparency and process optimization.<\/div><\/div><\/div><\/div><\/div><\/div>
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The Internet's ability to connect with the customer generates an additional source of data as well as another opportunity for optimization through proper data management and integration.<\/div><\/div><\/div>
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The exploitation of data provides an enormous capacity for optimization at many levels of the chain.<\/div><\/div><\/div>
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The incorporation of the Internet of Things (IoT) technology has generated additional needs in terms of infrastructure and data management.<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section>[\/vc_section][vc_section full_width=”stretch_row” css=”.vc_custom_1666765347797{background-color: #020627 !important;}”]
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Mixed Reality and its tools .|<\/h4>

Microsoft Dynamics 365 Remote Assist<\/span><\/p>\n

Microsoft Dynamics 365 Remote Assist enables technicians to collaborate and troubleshoot with remote collaborators using Dynamics 365 Remote Assist for mobile devices or Microsoft Teams. It reduces costs and travel time. Remote technicians can add mixed reality annotations to provide instructions in context.<\/span><\/p>\n

Microsoft Dynamics 365 Guides<\/span><\/p>\n

Microsoft Dynamics 365 Guides is a mixed reality tool that enables employees to learn through interactive instructions. Help your employees gain new knowledge faster without writing code with Dynamics 365 Guides on HoloLens devices.<\/span><\/p>\n<\/div><\/div><\/div><\/div><\/section>

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Benefits of implementing Mixed Reality with HoloLens.|<\/span><\/div><\/div><\/div><\/section>
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Increase employee productivity by up to 25% through the use of available tools.<\/p>\n<\/div><\/div><\/div><\/div>

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Improved training and preparation for complex tasks that require several steps for execution.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Quality assurance by providing a better service with a much more skilled staff<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Optimization of direct costs thanks to remote assistance that avoids the displacement of personnel and through employee training<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Digitization and automation of processes by standardizing a large part of the processes.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Optimize your production chain by obtaining statistics through tools that allow you to analyze processes and make decisions.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div><\/section>[\/vc_section][vc_section full_width=”stretch_row_content” css=”.vc_custom_1659509977644{margin-top: 0px !important;margin-right: 0px !important;margin-bottom: 0px !important;margin-left: 0px !important;padding-top: 0px !important;padding-right: 0px !important;padding-bottom: 0px !important;padding-left: 0px !important;}”]

Remote Monitoring .|<\/span>[vc_empty_space height=”260px”]<\/div><\/div><\/div><\/section>
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Remote monitoring allows companies to continuously monitor the health and performance of individual assets and entire factories to predict potential problems and manage changing customer demand.<\/strong><\/p>\n

Monitor overall machine operation.<\/p>\n

Monitor production parameters.<\/p>\n

Identify the presence of personnel in the factory in real-time.<\/p>\n<\/div><\/div><\/div><\/div>

Control environmental variables that may influence production or worker health and safety.<\/p>\n<\/div>

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Visualize operational data in real-time<\/div><\/div><\/div>
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Collect and analyze data from any device or sensor<\/div><\/div><\/div>
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Ingest and store data for real-time analysis to drive decisions<\/div><\/div><\/div>
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Deliver analytics that will improve factory performance and efficiency.<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section>
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Digital Twins.|<\/h4>

.|<\/span><\/strong> Virtual models of physical objects or business processes.<\/p>\n

.|<\/span><\/strong> Based on IoT platforms.<\/p>\n

.|<\/span><\/strong> Possibility of remote control of operating parameters.<\/p>\n

.|<\/span><\/strong> Simulation of different situations or process states.<\/p>\n

.|<\/span><\/strong> Allows analysis of results and anticipation of events or risks.<\/p>\n

.|<\/span><\/strong> A complete logistic chain can be simulated including manufacturing, distribution, and points of sale.<\/p>\n<\/div><\/div><\/div><\/div>

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Deployment of Digital Twins with Bravent.|<\/span><\/div><\/div><\/div><\/section>
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Criticality assessment<\/p>\n<\/div><\/div><\/div><\/div>

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Definition of the progressive digitalization plan<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Analysis of digitizable processes and objects<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Detailed process definition<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Evaluation of the expected return<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Cost assessment<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div><\/section>[\/vc_section]

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Simulation of on-board equipment operation<\/h4>

.|<\/strong> <\/span>Simulation of special operating conditions.<\/p>\n<\/div>[vc_separator color=”custom” css=”.vc_custom_1659511456313{margin-bottom: 12px !important;}” accent_color=”rgba(151,151,151,0.39)”]

.|<\/strong> <\/span>Recreation of repetitive failures or failure chains.<\/p>\n<\/div>[vc_separator color=”custom” css=”.vc_custom_1659511456313{margin-bottom: 12px !important;}” accent_color=”rgba(151,151,151,0.39)”]

.|<\/strong> <\/span>Initial testing of low-cost prototypes.<\/p>\n<\/div>[vc_separator color=”custom” css=”.vc_custom_1659511456313{margin-bottom: 12px !important;}” accent_color=”rgba(151,151,151,0.39)”]

.|<\/strong> <\/span>Confirmation of component compatibility.<\/p>\n<\/div>[vc_separator color=”custom” css=”.vc_custom_1659511456313{margin-bottom: 12px !important;}” accent_color=”rgba(151,151,151,0.39)”]

.|<\/strong> <\/span>Analysis of cross-influences of parameters on subcomponents.<\/p>\n<\/div><\/div><\/div><\/div><\/section>

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Digital twins – Production .|<\/h4>\n

– Environmental conditions incidence analysis.<\/span><\/p>\n

– Simulation of production impact of equipment failures.<\/span><\/p>\n

– Production balancing between lines.<\/span><\/p>\n<\/div><\/div><\/div><\/div>

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– Production balancing between lines.<\/span><\/p>\n

– Optimization of stock levels in the face of demand variations.<\/span><\/p>\n

– Identification of bottlenecks in production lines.<\/span><\/p>\n

– Definition of production buffers.<\/span><\/p>\n<\/div><\/div><\/div><\/div><\/section>[\/vc_section][vc_section full_width=”stretch_row” css=”.vc_custom_1666248440246{padding-top: 32px !important;padding-bottom: 0px !important;}”]

Digital twins.|<\/span>[vc_single_image image=”41230″ img_size=”full” alignment=”center”]<\/div><\/div><\/div><\/section>
Simulations of material movement in plant<\/span>[vc_icon icon_fontawesome=”fas fa-long-arrow-alt-right” color=”custom” custom_color=”#d9dc04″ el_class=”reto-solucion”]Raw material stock control<\/span>[vc_icon icon_fontawesome=”fas fa-long-arrow-alt-right” color=”custom” custom_color=”#d9dc04″ el_class=”reto-solucion”]Machine production simulations<\/span><\/div><\/div><\/div><\/section>[\/vc_section][vc_section full_width=”stretch_row” css=”.vc_custom_1666765347797{background-color: #020627 !important;}”]
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Vision Solution for the aerospace industry.|<\/h4>

Machine vision, also known as computer vision or technical vision, is a scientific discipline that includes methods for acquiring, processing, analyzing, and understanding real-world images in order to produce numerical or symbolic information that a computer can process.<\/span><\/p>\n

Definition and deployment of anomaly detection solutions.|<\/span><\/strong><\/p>\n

.I<\/span> Analysis of detectable anomalies in production equipment.<\/span><\/p>\n

.I<\/span> Assessment of criticality degree.<\/span><\/p>\n

.I<\/span> Definition of the appropriate detection models.<\/span><\/p>\n

.I<\/span> Deployment of AI architecture and models.<\/span><\/p>\n

.I<\/span> Deployment of detection systems, if applicable.<\/span><\/p>\n

.I<\/span> Connection with pre-existing detection systems.<\/span><\/p>\n

.I<\/span> Evaluation of the expected return.<\/span><\/p>\n<\/div><\/div><\/div><\/div><\/section>

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Predictive maintenance of production\/shipping equipment with AI .|<\/span><\/div><\/div><\/div><\/section>
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Continuous real-time data collection\/after-flight downloading<\/p>\n<\/div><\/div><\/div><\/div>

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Building predictive models\/learning algorithms<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Real-time data analysis to detect failures<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Sending alerts\/notifications to perform actions<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Improve equipment maintenance plan<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Optimize inventories and spare parts costs<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div><\/section>[\/vc_section]

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Artificial vision applied to security .|<\/h4>

Detection of dangerous objects<\/strong><\/p>\n<\/div>

.|<\/strong> <\/span>Aisles<\/p>\n<\/div>[vc_separator color=”custom” css=”.vc_custom_1659511456313{margin-bottom: 12px !important;}” accent_color=”rgba(151,151,151,0.39)”]

.|<\/strong> <\/span>Objects on shelves or workbenches<\/p>\n<\/div>[vc_separator color=”custom” css=”.vc_custom_1659511456313{margin-bottom: 12px !important;}” accent_color=”rgba(151,151,151,0.39)”]

.|<\/strong> <\/span>Spillage of substances<\/p>\n<\/div>

Accident detection<\/strong><\/p>\n<\/div>

Automatic control of PPE use<\/strong><\/p>\n<\/div><\/div><\/div><\/div><\/section>

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Predictive maintenance of production equipment with AI .|<\/span><\/div><\/div><\/div><\/section>
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Increases employee productivity<\/p>\n<\/div><\/div><\/div><\/div>

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Immediate presentation of validation results<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Cost optimization<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Improved quality thanks to algorithms<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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guaranteed security<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Speed \u200b\u200band machine learning<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div><\/section>[\/vc_section][vc_section full_width=”stretch_row_content” css=”.vc_custom_1658910201170{margin: 0px !important;padding: 0px !important;}”]

KPIs and real improvements .|<\/h4>\n

– Initial reduction of 8% in processing times.<\/span><\/p>\n

– Initial reduction of 8% in processing times.<\/span><\/p>\n

– Complete elimination of manual process confirmations.<\/span><\/p>\n

– Ease of scalability of the solution.<\/span><\/p>\n<\/div><\/div><\/div><\/div>

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– Overall improvement of traceability throughout the process.<\/span><\/p>\n

– 98% reduction in model training times.<\/span><\/p>\n

– 30% reduction in image labeling time.<\/span><\/p>\n

– Reduced hardware requirements for Poka-Yoke systems.<\/span><\/p>\n<\/div><\/div><\/div><\/div><\/section>[\/vc_section][vc_section css=”.vc_custom_1666710456595{margin-top: 0px !important;margin-bottom: 0px !important;padding-top: 48px !important;padding-right: 24px !important;padding-bottom: 48px !important;padding-left: 24px !important;}”]

The Automatic Calendar Scheduler .|<\/h3><\/div><\/div><\/div><\/section>
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Data Logging<\/strong><\/p>\n

Storage of historical data of the tasks performed.<\/p>\n

Obtaining the different metrics of the employees.<\/p>\n

Preparation of a scalable Data Warehouse with the relevant information.<\/p>\n<\/div><\/div><\/div><\/div>

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Artificial Intelligence<\/strong><\/p>\n

Advanced analytics of the different parameters and metrics were recorded.<\/p>\n

Application of AI models to predict which employee is the right one.<\/p>\n

Decision-making to prioritize tasks through AI.<\/p>\n<\/div><\/div><\/div><\/div>

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Calendar management<\/strong><\/p>\n

With the prioritization done, a manager updates the daily tasks of the workforce.<\/p>\n

The workforce will be able to visualize which task is the right one to perform.<\/p>\n

Automatically, the calendar is updated through AI.<\/p>\n<\/div><\/div><\/div><\/div><\/section>[\/vc_section][vc_section full_width=”stretch_row” css=”.vc_custom_1666811376652{padding-top: 48px !important;padding-bottom: 48px !important;background-image: url(https:\/\/www.bravent.net\/wp-content\/uploads\/2022\/10\/MicrosoftTeams-image-100-2-1.png?id=41575) !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}”]

The Automatic Calendar Scheduler.|<\/h4>

.|<\/span> <\/strong>The appearance of urgent tasks on an already configured schedule with specific skill requirements.<\/p>\n

.|<\/span> <\/strong>Need to include priority tasks on full schedules of workers.<\/p>\n

.|<\/span> <\/strong>Need to apply more resources to tasks with a shorter deadline than the time needed to complete them with the resources initially assigned.<\/p>\n

.|<\/span> <\/strong>Assignment of tasks according to geographical location and mobility of each resource.<\/p>\n

.|<\/span> <\/strong>Assignment of subtasks according to skills and workload of each one.<\/p>\n<\/div><\/div><\/div><\/div>

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Deploying Automatic Calendar Scheduler.|<\/h4>

.|<\/strong> <\/span>Analyze the specific parameters involved in the scheduling of your jobs.<\/p>\n

.| <\/strong><\/span>Adapt ACS to those parameters.<\/p>\n

.| <\/strong><\/span>Connect ACS data to your own repositories, so that you use your data transparently for your company.<\/p>\n

.| <\/strong><\/span>Train your team of planners to use it.<\/p>\n

.| <\/strong><\/span>Support your operation and manage the application’s lifecycle.<\/p>\n

.| <\/strong><\/span>Generate the reports that allow you to demonstrate the benefits obtained.<\/p>\n<\/div><\/div><\/div><\/div><\/section>

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Success stories<\/h4><\/div><\/div><\/div>