Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict...

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Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March 2018

Transcript of Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict...

Page 1: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Using Big Data to predict maintenance activities A case study

Peter Isendahl | Digital Fleet Solutions | 1 March 2018

Page 2: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

New Digital Solutions AVIATAR - the digital aviation

ecosystem

3rd party developments

Case Study: Lufthansa Technik goes Digital

Digitize the Core Digital enhanced core processes

New digital technologies

Gain efficiency

Enhance Products Bridging the digital and the

physical world

Predictive MRO

Peter Isendahl | Digital Fleet Solutions | 1 March 2018 | Copyright © 2018 Lufthansa Technik AG. All rights reserved.

Page 3: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Lufthansa Technik

Lufthansa Technik -

digitally enhanced

core processes

DIGITIZE THE CORE Reinventing Lufthansa Technik

for the digital needs of MRO

Paperless Maintenance:

Fully digital documentation for aircraft

maintenance saves not only paper and

resources, but also time and money by

accelerating provision and transmission

of information.

Digital Warehouse:

IoT technologies for localization,

driverless transport systems, automatic

block storage systems and digital

assistance systems as the smart data

glove boost the manpower efficiency in

our logistics department.

GSE 4.0:

Indoor and outdoor location tracking of

Ground Support Equipment saves

valuable working time for staff. The

system can also report the capacity and

other relevant information as fuel level

and outside temperature.

Page 4: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Lufthansa Technik Copyright © 2017. All rights reserved. | AVIATAR for You | PD Digital Fleet Solutions | [email protected] | May 2017

https://www.lufthansa-technik.com/gse-4.0

Page 5: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Lufthansa Technik Copyright © 2017. All rights reserved. | AVIATAR for You | PD Digital Fleet Solutions | [email protected] | May 2017

https://www.lufthansa-technik.com/gse-4.0

Page 6: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Lufthansa Technik

Integrate

digital solutions

Paperless

record-

keeping

Peter Isendahl | Digital Fleet Solutions | 1 March 2018 | Copyright © 2018 Lufthansa Technik AG. All rights reserved.

Page 7: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Lufthansa Technik

Employ platform

business model

Use analytics-based

predictive maintenance

Bridge the digital-

physical gap in supply chain

Enhanced Products & New Digital Solutions

Peter Isendahl | Digital Fleet Solutions | 1 March 2018 | Copyright © 2018 Lufthansa Technik AG. All rights reserved.

Page 8: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Lufthansa Technik

An independent platform serving the entire aviation

industry is now available for New Digital Solutions

Open

Modular

Neutral

Peter Isendahl | Digital Fleet Solutions | 1 March 2018 | Copyright © 2018 Lufthansa Technik AG. All rights reserved.

Page 9: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Lufthansa Technik

Control and use the airlines’

Operational Data

AVIATAR powered by

Page 10: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Lufthansa Technik

AVIATAR transforms your most common pains into benefits

Pains

Paper-based MRO documentation

Increased number of transitions

Unscheduled maintenance events

High consequential costs of unexpected events

Optimized maintenance and repair process

Full transparency and data access

Safer and more reliable fleet operations

Reduced consequential

costs

Gains

Peter Isendahl | Digital Fleet Solutions | 1 March 2018 | Copyright © 2018 Lufthansa Technik AG. All rights reserved.

Page 11: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Lufthansa Technik

TechOps cost reduction and data control for • Efficient management of trouble-shooting events • Real-time TechOps overview of mixed fleets and AOCs • Increased aircraft availability, less interruptions • Minimize complexity for your growing fleets • Grow your fleet and not your TechOps team

Page 12: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Lufthansa Technik

Page 13: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Lufthansa Technik

Page 14: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Lufthansa Technik

Page 15: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Fault Analytics

Better understanding and knowledge about linkage between faults and actions

Supports engineers to distinguish between tailsign-only and fleet-wide problems

BENEFITS

Analyzing mixed aircraft fleet’s condition and reveal hidden correlations

Peter Isendahl | Digital Fleet Solutions | 1 March 2018 | Copyright © 2018 Lufthansa Technik AG. All rights reserved. Peter Isendahl | Digital Fleet Solutions | 1 March 2018 | Copyright © 2018 Lufthansa Technik AG. All rights reserved.

Page 16: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Lufthansa Technik

Page 17: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Lufthansa Technik Peter Isendahl | Digital Fleet Solutions | 1 March 2018 | Copyright © 2018 Lufthansa Technik AG. All rights reserved.

Page 18: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Lufthansa Technik

Page 19: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Lufthansa Technik Peter Isendahl | Digital Fleet Solutions | 1 March 2018 | Copyright © 2018 Lufthansa Technik AG. All rights reserved.

Page 20: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Predictor Plugins

Knowledge about the future occurrence of a fault

Improvement of efficiency, e.g. maintenance schedule

Reduction of consequential costs by predicting and reducing operational irregularities

BENEFITS

Optimize maintenance events and predict component failures using automated analytics

Peter Isendahl | Digital Fleet Solutions | 1 March 2018 | Copyright © 2018 Lufthansa Technik AG. All rights reserved. Peter Isendahl | Digital Fleet Solutions | 1 March 2018 | Copyright © 2018 Lufthansa Technik AG. All rights reserved.

Page 21: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Lufthansa Technik

New Digital Solutions The digital aviation ecosystem

powered by AVIATAR

Allowing the airline industry to

co-create as they discover new

ways to simplify, streamline, and

transform how to reach their goals

Create shared value - attractive for

suppliers and partners in the

network to answer customers’

evolving needs

A seamless user experience

and exchange of information

across interfaces.

Peter Isendahl | Digital Fleet Solutions | 1 March 2018 | Copyright © 2018 Lufthansa Technik AG. All rights reserved.

Page 22: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Lufthansa Technik

Already two independent 3rd parties

FLYdocs & b2b-aero

joined AVIATAR 2017

Page 23: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Lufthansa Technik Peter Isendahl | Digital Fleet Solutions | 1 March 2018 | Copyright © 2018 Lufthansa Technik AG. All rights reserved.

Applications to serve three core benefits …

Decrease

costs

Increase

safety

Increase

availability

Improving the efficiency of operation!

Peter Isendahl | Digital Fleet Solutions | 1 March 2018 | Copyright © 2018 Lufthansa Technik AG. All rights reserved.

Page 24: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Lufthansa Technik Peter Isendahl | Digital Fleet Solutions | 1 March 2018 | Copyright © 2018 Lufthansa Technik AG. All

rights reserved.

Wizz Air becomes partner for Lufthansa Technik's platform AVIATAR – Oct. 2018

Page 25: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Big data platform for TechOps needs

AB-CDE XY-123

AL1234 CA5678

Page 26: Using Big Data to predict maintenance activities · 2018-03-06 · Using Big Data to predict maintenance activities A case study Peter Isendahl | Digital Fleet Solutions | 1 March

Control your valuable TechOps data & benefit AVIATAR is the independent digital platform of the aviation industry

Copyright © 2018 Lufthansa Technik AG. All rights reserved.

The information contained in this presentation is proprietary to Lufthansa Technik AG and is disclosed in confidence. The presentation and the information contained herein shall be

kept strictly confidential and shall not be used, disclosed to others or reproduced without the expressed written consent of Lufthansa Technik AG. Nothing contained in this publication

shall constitute any warranty, guarantee or liability for Lufthansa Technik AG, its subsidiaries and affiliates, but is for information purposes only. Accordingly, Lufthansa Technik AG, its

subsidiaries and affiliates neither expressly nor conclusively accept responsibility or liability for the actuality, accuracy and completeness of the statements and information contained in

this publication.