Aeronautics Industry

• Context: Assembly of aerostructure sub-assemblies involving a wide variety of support and fixings (brackets, harnesses, clamp, screws…)
• Challenge: Current process does not always identify errors: risk of late non-conformity detection leading to additional reworking time and costs.
• Solution: Intuitive assistance for the verification of the conformity: indication of precise positioning of elements and in-process inspection to check right configuration.
• Result: Detection of potential anomalies early in the manufacturing phase decrease need for further rework and thus reduce costs and saves time.

• Context: Masking sensitive areas on equipment before painting operations
• Challenge: Difficult identification of the areas to be masked from 2D documentation, risk of errors due to transposition from 2D to reality, long operation
• Solution: Paint masking instructions are displayed using Augmented Reality, indicating precise positioning of areas to mask to the operator
• Result: Reduction of execution and process update time, non-quality costs divided by up to 7*.

* customer source

• Context: Preliminary inspection of equipment on arrival in an MRO context to give a general picture of the asset to the customer and diagnose the repairs to be made.
• Challenge: Long, subjective and paper-based process not capturing all damages, leading to customer complaints for missing information
• Solution: Standardized step-by-step guidance on inspection process and automatic generation of customer-focused report
• Result: Reduction of inspection time up to 84%*, standard, streamlined and repeatable process, automatic generation of well-documented and personalized inspection reports

• Context: Final inspection performed before equipment leaves the factory, involving the verification of a high number of points according to variable standards
• Challenge: Long process requiring a team of several people to check all control points with lack of traceability.
• Solution: Assisted or automated inspection thanks to location of control areas, defect identification via as-designed/as-built comparison and capture of unexpected/unsought nonconformities.
• Result: Reliable, repeatable, complete and faster inspection increasing quality and customer satisfaction.

• Context: Need to provide data reports for documentation and traceability purpose.
• Challenge: Paper-based processes, errors in non-conformities identification and localization, incomplete reports. Current documentation not associated to the digital mock-up.
• Solution: Field data capture of the “as build” including pictures, annotation, defect picking, and automated generation of reports and database.
• Result: Complete reports for traceability, documentation sharing with customers or for further analysis ; data are feeding the digital twin.