PREDICTIVE MAINTENANCE AND THE CHALLENGE OF SUPPORTING SUSTAINABLE DEVELOPMENT IN THE AERONAUTICAL SECTOR

From Insights Movinon

One line description: PREDICTIVE MAINTENANCE AND THE CHALLENGE OF SUPPORTING SUSTAINABLE DEVELOPMENT IN THE AERONAUTICAL SECTOR

Description: How can innovation in service and maintenance create new opportunities for Airlines?

  • Discover how Artificial Intelligence and Big Data can change the world of air transport.
  • Lean how the Digital Transformation that is revolutionizing aerospace could impact and improve the customer experience.
  • Reflect on the way that "Predictive Maintenance" could create sustainability benefits for airlines.

Image:

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Organization: AIR FRANCE

Participants:

Category: INNOVATIVE TECHNOLOGIES

Theme: air transport & drone

Leader: VINCENTI Paul-Louis

Facilitator: LAROSE Maryse

Expert: BIDAUD Philippe, COMBET Sandra, JACKSON Jim

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Chat discussion canal : https://chat.fabmob.io/channel/movinonconf

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FROM THE MINUTES 2018

HOW PREDICTIVE MAINTENANCE WILL MAKE AIR TRAVEL SMARTER, GREENER, SAFER

Air travel is complex. With so many (literally) moving parts, planning maintenance with minimal disruptions has always posed a challenge for airlines.


According to a 2010 Berkeley study, flight delays cost the U.S. economy $32.9 billion annually. Global airlines participating in a 2016 IATA study reported $15.57 billion in direct maintenance costs, which works out to $318 million per airline.

New technologies such as AI, IoT and big data are introducing innovative ways for airlines to anticipate problems before they occur. Enter the practice of predictive maintenance, which uses data, connectivity and e-workflows to schedule repairs before they disrupt schedules.

HOW PREDICTIVE MAINTENANCE WORKS

Predictive maintenance allows engineers to individually track and follow each component of an aircraft. An alerting system informs engineering staff before a malfunction occurs, enabling them to schedule planned maintenance on the aircraft. By using real-time data from airplanes paired with predictive analytics, airlines can anticipate and plan maintenance before an unexpected interruption occurs.

Aircraft maintenance has traditionally been an unscheduled event: repairs are done as needed in response to unpredictable situations.


PREDICTIVE MAINTENANCE IN ACTION

Predictive Maintenance, Repair and Operations (MRO) is evolving quickly thanks to the integration of smart technologies, such as:

E-HANGARS

Connected cameras and robotic systems inspect, maintain and repair aircraft.

ROBOTICS

Smart robots respond to maintenance alerts to carry out inspections and repairs.

CONNECTIVITY

IoT systems share data from airplane parts and systems with maintenance.

E-WORKFLOW

Automated systems identify, break down and assign tasks.

VIRTUAL REALITY

VR simulations allow systems and engineers to identify and model possible scenarios.


TOMORROW’S MILE-HIGH CLUB

Predictive maintenance creates efficiencies that help airlines become more environmentally sustainable.

ENVIRONMENTAL IMPACT: Reduces CO2 footprint and ecological impact

CUSTOMER EXPERIENCE: Reduces customer impact by mitigating delays

EMPLOYEE EXPERIENCE: Reduces impact on crews

LOCAL DEVELOPMENT: Promotes the circular economy


CREATING NEW SOLUTIONS AT THE INTERSECTION

Participants explored ways that innovations in service and maintenance can create new opportunities for airlines. They were asked to see the topic through three lenses, understand how these lenses intersect and identify solutions that arise at this intersection.


REAL-TIME FLIGHT STATUS UPDATES

Once upon a time, an irate customer stuck on a delayed plane was hot and hungry. On his next trip, he received real-time updates on his phone about the status of his flight. He learned about the delay before leaving home, enabling him to relax instead of waiting around at the airport.


DATA-SHARING BETWEEN AIRLINES

Once upon a time, airlines struggled to analyze and fix failures on their own. Then the airlines decided to share data using telemetry, documenting past histories of failures. Through collaboration, airlines were able to understand and model new scenarios, opening up new horizons for predictive maintenance.