Aerospace Industry

What is Aerospace Industry 4.0?.|

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.

Control of the production line

Quality control of manufacturing and maintenance processes

Automation and robotization

Empowerment of line workers

Optimization of maintenance plans

Use of digital twins for prototyping and testing

Improving confidence in the supply chain

Main challenges of the sector in the Aeronautics and Aerospace Industry 4.0 .|

Reduction of aircraft and component downtime

Optimization of production and maintenance schedules

Automated quality inspection

Detection of production line anomalies

Generation of reliable and secure parts authenticity verification records

Improved remote work capabilities of maintenance mechanics

Reduced training time for production and maintenance mechanics

Simulation of running and operating conditions

Leverage organizational knowledge

Real-time remote monitoring and control of on-board equipment

What technologies are transforming the aeronautical sector into Aerospace Industry 4.0?

Business Intelligence
& Data Analytics

Artificial
Intelligence

Extended
Realities

Robotic
Process Automation

IoT

Digital
Twins

Data-driven strategies for companies in the aerospace industry.|

.| Discover the knowledge hidden in the data, from any source.

.| Do it in a collaborative way among all participants.
.| Enable all levels of the organization to make decisions efficiently.

.| Emplear capacidades de IA para acceder a centeneras de visualizaciones de datos de forma intuitiva​.

.| Employ AI capabilities to access hundreds of data visualizations intuitively.

Data-driven strategies for companies in the aerospace industry.|

Discover the knowledge hidden in the data, from any source.

Do it in a collaborative way among all participants.

Enable all levels of the organization to make decisions efficiently.

Employ AI capabilities to access hundreds of data visualizations intuitively.

Reduce reporting times and complex solutions.

Power BI
The platform that makes it easy for you to understand your business data.

Power BI

Aerospace: Inventory Management

.| Total inventory values

.| Quantities stocked by category

.| Stock replenishment costs

.| Inventory distribution in the various categories

Power BI

Aerospace: project management

.| Project portfolio.

.| Gantt charts per project.

.| Cost analytics.

.| Risk and resource management.

.| Staff assignments.

.| Demand forecasting

.| Agregate economic and demand forecasting.

Power BI

Aerospecialty: maintenance of production equipment

.| The supply process is key to production management in the industrial sector.

.| This process can be fully analyzed through this set of dashboards, which provide a complete breakdown of tasks, follow-up of schedules, delays, etc.

Power BI

Aerospace sector: analysis of the supply process

.| 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.

.| Provides comparisons by period, including the acquisition of spare parts and labor.

.| Compares with initially planned budgets.

Data strategy in the aerospace industry.|
The aerospace industry generates huge amounts of data at each node of the value chain, which would require different data processing.
It is essential that this data flows and converges between all actors involved in the supply chain to ensure transparency and process optimization.
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.
The exploitation of data provides an enormous capacity for optimization at many levels of the chain.
The incorporation of the Internet of Things (IoT) technology has generated additional needs in terms of infrastructure and data management.

Mixed Reality and its tools .|

Microsoft Dynamics 365 Remote Assist

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.

Microsoft Dynamics 365 Guides

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.

Benefits of implementing Mixed Reality with HoloLens.|

Increase employee productivity by up to 25% through the use of available tools.

Improved training and preparation for complex tasks that require several steps for execution.

Quality assurance by providing a better service with a much more skilled staff

Optimization of direct costs thanks to remote assistance that avoids the displacement of personnel and through employee training

Digitization and automation of processes by standardizing a large part of the processes.

Optimize your production chain by obtaining statistics through tools that allow you to analyze processes and make decisions.

Remote Monitoring .|

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.

Monitor overall machine operation.

Monitor production parameters.

Identify the presence of personnel in the factory in real-time.

Control environmental variables that may influence production or worker health and safety.

Visualize operational data in real-time
Collect and analyze data from any device or sensor
Ingest and store data for real-time analysis to drive decisions
Deliver analytics that will improve factory performance and efficiency.

Digital Twins.|

.| Virtual models of physical objects or business processes.

.| Based on IoT platforms.

.| Possibility of remote control of operating parameters.

.| Simulation of different situations or process states.

.| Allows analysis of results and anticipation of events or risks.

.| A complete logistic chain can be simulated including manufacturing, distribution, and points of sale.

Deployment of Digital Twins with Bravent.|

Criticality assessment

Definition of the progressive digitalization plan

Analysis of digitizable processes and objects

Detailed process definition

Evaluation of the expected return

Cost assessment

Simulation of on-board equipment operation

.| Simulation of special operating conditions.

.| Recreation of repetitive failures or failure chains.

.| Initial testing of low-cost prototypes.

.| Confirmation of component compatibility.

.| Analysis of cross-influences of parameters on subcomponents.

Digital twins – Production .|

– Environmental conditions incidence analysis.

– Simulation of production impact of equipment failures.

– Production balancing between lines.

– Production balancing between lines.

– Optimization of stock levels in the face of demand variations.

– Identification of bottlenecks in production lines.

– Definition of production buffers.

Digital twins.|
Simulations of material movement in plant
Raw material stock control
Machine production simulations

Vision Solution for the aerospace industry.|

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.

Definition and deployment of anomaly detection solutions.|

.I Analysis of detectable anomalies in production equipment.

.I Assessment of criticality degree.

.I Definition of the appropriate detection models.

.I Deployment of AI architecture and models.

.I Deployment of detection systems, if applicable.

.I Connection with pre-existing detection systems.

.I Evaluation of the expected return.

Predictive maintenance of production/shipping equipment with AI .|

Continuous real-time data collection/after-flight downloading

Building predictive models/learning algorithms

Real-time data analysis to detect failures

Sending alerts/notifications to perform actions

Improve equipment maintenance plan

Optimize inventories and spare parts costs

Artificial vision applied to security .|

Detection of dangerous objects

.| Aisles

.| Objects on shelves or workbenches

.| Spillage of substances

Accident detection

Automatic control of PPE use

Predictive maintenance of production equipment with AI .|

Increases employee productivity

Immediate presentation of validation results

Cost optimization

Improved quality thanks to algorithms

guaranteed security

Speed ​​and machine learning

KPIs and real improvements .|

– Initial reduction of 8% in processing times.

– Initial reduction of 8% in processing times.

– Complete elimination of manual process confirmations.

– Ease of scalability of the solution.

– Overall improvement of traceability throughout the process.

– 98% reduction in model training times.

– 30% reduction in image labeling time.

– Reduced hardware requirements for Poka-Yoke systems.

The Automatic Calendar Scheduler .|

Data Logging

Storage of historical data of the tasks performed.

Obtaining the different metrics of the employees.

Preparation of a scalable Data Warehouse with the relevant information.

Artificial Intelligence

Advanced analytics of the different parameters and metrics were recorded.

Application of AI models to predict which employee is the right one.

Decision-making to prioritize tasks through AI.

Calendar management

With the prioritization done, a manager updates the daily tasks of the workforce.

The workforce will be able to visualize which task is the right one to perform.

Automatically, the calendar is updated through AI.

The Automatic Calendar Scheduler.|

.| The appearance of urgent tasks on an already configured schedule with specific skill requirements.

.| Need to include priority tasks on full schedules of workers.

.| Need to apply more resources to tasks with a shorter deadline than the time needed to complete them with the resources initially assigned.

.| Assignment of tasks according to geographical location and mobility of each resource.

.| Assignment of subtasks according to skills and workload of each one.

Deploying Automatic Calendar Scheduler.|

.| Analyze the specific parameters involved in the scheduling of your jobs.

.| Adapt ACS to those parameters.

.| Connect ACS data to your own repositories, so that you use your data transparently for your company.

.| Train your team of planners to use it.

.| Support your operation and manage the application’s lifecycle.

.| Generate the reports that allow you to demonstrate the benefits obtained.

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