Programme

Predictive Aircraft Maintenance Conference Programme

11th June 2019

08:30 Registration and Refreshments
09:15 Chairman’s Opening Remarks

Ian Harbison, Editor, MRO Management

09:30

 

 

Skywise: A successful OEM-airline digital collaboration

  

  • Delta Air Lines experience on Skywise: Driving efficiency and productivity
  • Skywise Predictive Maintenance: 4 years of cooperation between Delta Air Lines and Airbus – talking about use cases
  • Future Perspectives

Sandra Sassone, Marketing Manager, Digital Services, Airbus

Shawn Gregg, General Manager of Predictive Technologies, Delta Air Lines

10:00

Leading the innovation of predictive maintenance – easyJet’s journey

  • Describing easyJet’s early beginnings of predictive maintenance
  • Pinpointing the challenges of equipping a large fleet
  • The development life cycle of predictive maintenance alerts
  • What is the status at easyJet today and what are the benefits of predictive maintenance

Gary Smith, Director of Operations Transformation, easyJet

10:30 Morning networking and refreshments

11:00

Developing predictive analysis of programs to replace aircraft system components before they actually fail

  • Combining in-depth knowledge of aircraft systems and operating them, its ability to innovate and its big data skills
  • Using PROGNOS to support Air France KLM’s engines, components and aircrafts so fleet operators can reap significant benefits
  • Discussing AFI KLM E&M use of predictive maintenance software

David Vazquez, Big Data and Predictive Maintenance Program Manager, AFI KLM E&M

Jacques-Olivier Guichard, VP Digital Marketing, AFI KLM E&M

11:30 CASE STUDY: Characterising intelligent maintenance studies and its influence on proper predictions

  • Illustrating the life cycle of maintenance for a higher safety in operation
  • Monitoring the health status of crafts to create long term cost reduction
  • Feasibility study: the test and the analysis and its impact on environmental conditions

Bernhard Randerath, Vice President Design, Engineering and Innovation, Etihad Aviation Group

12:00 CASE STUDY: Characterising intelligent maintenance studies and its influence on proper predictions

  • Approach of a new era for algorithm development
  • Trend monitoring and status prediction to create precise values
  • A use case, challenges and benefits

Ali Baghchehsara, Managing Partner, Lisa Group – The Intelligence Company

12:30 Lunch

13:45

Digital analytic studies on predictive aircraft maintenance on ageing fleets and MRO partnering on digital analytics

   

  • Interpreting APU predictive aircraft maintenance on mature aircrafts and the benefits
  • How predictive maintenance influences A/C Operating Costs
  • Improving MRO client relationships with supplying predictive maintenance and analytics

Mimi Correa, Director of Fleet Management, Revima

Jean-Philippe Beaujard, General Director, FlightWatching (Acquired by Revima in January 2019)

14:15

Impact of Emerging Technologies in Inspection & Repair

  • How are technologies such as AI, VR, automation, robotics and IOT changing the face of the MRO industry?
  • How are MRO providers aligning their capabilities to adopt technologies for new generation and existing fleets?
  • With the long-term application and scale of technologies such as AI yet to be defined, how can the industry work together to overcome technical and regulatory barriers to implementation?

Amartya De, Associate Director, Aerospace & Defence Practice, Frost & Sullivan

14:45

Afternoon networking and refreshments

15:15

One airline platform for every data value stream

  • Learn how Prescriptive Maintenance saves the airline resources
  • Understand how a flexible platform delivers savings today and grows with future innovation
  • Visualise with situational awareness, predict with advanced analytics and fix it first time with Connected Maintenance

Chris Bigwood, Senior Solutions Architect, Honeywell Aerospace

15:45

 

 

 

 

 

 

 

What are model-driven predictive simulations and how can they benefit you?

  • Using models to predict realistic outcomes measured against KPIs to support the demand for maintenance
  • Developing a shared understanding between the maintenance team and decision makers for a unified and collaborative strategy
  • Examining the role of model-driven stimulations, pinpointing how they help forecast the MRO needs of aircraft for now and the future
  • Preparing aircraft for unexpected and irregular events

Gary Vickers, CEO, Aerogility

16:15

 

Operating legacy and next generation aircraft: The challenges and opportunities of predictive maintenance

  • An overview of where Virgin Atlantic is today with reactive and predictive maintenance
  • The realities of an operation, data / software saturation and an industry build upon reactive maintenance
  • Virgin Atlantic’s predictive maintenance roadmap and aspirations of the industry

Neil Ambidge, Head of Fleet Technical Management, Virgin Atlantic Airways

16:45

Chairman’s Closing Remarks

Ian Harbison, Editor, MRO Management

17:00

Close of Conference

17:15

Start of the Drinks Reception