One Platform for Digital MRO
Harness the power of big data analytics on a single integrated digital platform to optimize fleet maintenance, repair and overhaul (MRO) in Aerospace and Defense.
Trends Influencing the Aerospace & Defense Industry
Watch David Ziegler, Vice President Aerospace & Defense Industry, and Morgan Zimmermann, CEO of NETVIBES, discuss the benefits of virtual twin experiences powered by data science in the Aerospace & Defense industry.
Overcome Maintenance Turbulence
The world's airlines will spend an estimated USD87 billion on aircraft maintenance in 2022. And yet, many airlines are still plagued by unplanned maintenance and low fleet availability due to disconnected MRO systems, with the average aircraft operating for only 10.5 hours a day.
As extensive data sets continue to be rapidly generated from multiple sources, it’s more apparent than ever: legacy aircraft maintenance systems are aging. The Aerospace and Defense industry as a whole must now optimize digital MRO to manage the impact of the data deluge to remain competitive. The maintenance ecosystem needs to be linked from end to end to bring disparate data and decision-makers together. As such, a fully integrated digital platform with a data-driven model is crucial to boost fleet availability, decrease MRO costs and optimize fleet safety and sustainability.
Fly Far With the Power of One
Discover the strategic digital platform that helps you navigate aircraft maintenance, repair and overhaul challenges. It’s time to reap the benefits of next-generation MRO with the power of big data analytics.
Democratize Data for Decision-Making
Every new generation aircraft comes with terabytes of technical information covering every component, part and software required for it to operate at full capacity. The ability to consume, share and derive big data insights is invaluable to digital MRO.
The entire aircraft maintenance ecosystem must rethink, enhance and digitally transform maintenance tasks from end to end to deliver optimal MRO results. This can be achieved by democratizing data through:
Predictive Maintenance
With predictive maintenance analytics, maintenance engineers can anticipate issues and devise appropriate maintenance schedules, parts replacements and MRO processes. Potential malfunctions can be predicted and repairs conducted as quickly as possible to meet aircraft availability rate objectives.
Virtual Twin Experience
A Virtual Twin Experience can be fully configured and simulated to encapsulate the best MRO practices and reusable protocols. By digitally connecting everything with the Virtual Twin Experience technology, companies can drive a continuous loop of MRO innovation.
Product Lifecycle Management
Platformized PLM provides companies with a fully traceable digital process supported by audit and inspection tools. With real-time insights, potential compliance issues for all maintenance operations can be detected and resolved early to minimize unplanned maintenance.
Connect and Collaborate on One Platform
A single integrated platform adds value to digital MRO by connecting different systems and extracting big data from these multiple sources to provide meaningful insights. With access to this information, companies are better positioned to make the right decision and keep aircraft operating.
In a world of increasingly connected, digitalized and complex aircraft and defense systems that must meet strict regulatory and sustainability imperatives, industry players will continue to be pressured to improve cost control and efficiency in aircraft maintenance.
A one platform strategy helps companies connect data, people, products and processes to align the value network and empower quicker and better decision-making. By providing fast and easy access to big data insights in an integrated environment, Dassault Systèmes’ 3DEXPERIENCE® platform enables the MRO ecosystem to:
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Leverage knowledge capitalization
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Enhance collaboration from end to end
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Benefit from a data-driven operations experience
The stories below highlight how the 3DEXPERIENCE platform offered significant benefits for industry players to execute a smart, agile and sustainable aircraft maintenance strategy.
Maintenance, Repair & Overhaul Q&A
Discover how Digital MRO can foster fleet management and fleet maintenance.
In a growing world of connected, digitalized but complex aircraft and defense systems and the increasing need for OEMs to better manage costs of sustainment, it is critical to accelerate continuous fleet optimization. In order to do so, the extensive amount of data generated by commercial fleet, flight operations, maintenance cost, non-conformity, etc. must be captured and elevated to knowledge and know-how. Indeed, the best maintenance will have a positive impact on the asset availability, as some of the technical delays can be avoided and the maintenance stops can be optimized with the asset redelivered on-time.
Leveraging flight operation data from an aircraft fleet, elevating the raw data and enriching the virtual twin of the fleet with it will enable key analysis and provide a clear understanding of what needs to be changed on the aircraft and when, and optimize all the resources (manpower, supply chain, explicit instructions, tools) available. This requires detailed preparation and good knowledge-driven collaboration between the different industrial players. Digital MRO with the ability to leverage any type of data (pilot feedback, sensor data, images and more) elevated into actionable knowledge by all parties makes this possible.
Discover here how Dassault Aviation leveraged this.
Data is collected from different systems of the aircraft, sensor data and flight operation data. But it also comes from maintenance and pilot tech logs from the Maintenance Information Systems, pilot feedback, technicians, images and more. Data can even come from the supply chain. Clearly these diverse systems contain different kinds of data (structured/unstructured) that need to be aggregated, merged and harmonized. This information is managed, analyzed, and transformed into actionable knowledge and know-how in order to make better informed decisions.
The data collected generates insights that can be leveraged and elevated directly on the platform using the virtual twin experience as a vehicle. Machine learning improves the events and issues analysis. Artificial intelligence can analyze complex events (identify similarities, trends, facts, key expressions, taxonomies). This helps to better understand new incoming data to improve the predictive maintenance.
The abundance of data coming from the aircraft and its systems provides the whole industry with an unprecedented opportunity to monitor various parameters continuously, a significant improvement from inspections spread over specific time intervals. Across aviation in general, there is a move towards Condition-Based Maintenance and Integrated Aircraft Health Management.
Going further with predictive maintenance, it is used to improve the design of new aircraft, thus boosting innovation. Thus, maintenance challenges could even be transformed into benefits to boost fleet availability!
Model-based systems engineering is used for support and service to simulate operations scenarios. Event logbooks, flight data and maintenance data inputs run simulations for support and services in order to anticipate potential issues in the expected scenario. Simulating the cost impact will help to improve the maintenance plan and to optimize aircraft systems designs.