Minimizing disruption using data

ELENTINUS MARGEIRSSON – HEAD OF SUPPLY CHAIN ENGINEERING & TECHNICAL CONTRACTS

2

something about us…

> What we do:

We are low-cost European point-to-point short-haul airline

> Where we do it:

Intra-European short-haul network. Over 300 million Europeans live within one hour's drive of an easyJet airport

> Our ambition:

Is to be Europe’s preferred short-haul airline, delivering market leading returns

> Our cause: Seamlessly connecting Europe with the warmest welcome in the sky

330+ aircraft

90m+ passengers

1,000+ routes

40 bases

3

Our priorities

Our promise

Our Purpose

Easyjet purpose, priorities and promise we are building on our strengths and charting our path into an even more successful future

Seamlessly connecting Europe with the warmest welcome in the sky

Number one or two in primary airports Giving customers the leading offer in the airports they want to fly to Winning our customers’ loyalty Making it easy, enjoyable and affordable to travel again and again for business and holidays Value by efficiency We are low cost, driving efficiency and investing only where it matters most to our customers and our people The right people Creating an inclusive and energising environment that attracts the right people and inspires everyone to learn and grow Innovating with data Using the millions of data points we collect to make smart decisions and shape the future of travel, to become the wold’s leading data-driven airline

We are: Safe and responsible, on our customers’ side, in it together, always efficient, forward thinking

4

Our priorities

Easyjet purpose, priorities and promise Easyjet’s engineering and maintenance will play a critical role in contributing towards our priorities

E&M Priorities

Number one or two in primary Airports Winning our customers’ loyalty Value by efficiency The right people Innovating with data

Operational safety & performance

Fair, reliable and predictable cost base

Empowered and productive teams

Strong vendor relationships

Data-driven decision making

5

6

Overview of easyJet engineering & maintenance Network overview

Easyjet Engineering & Maintenance network

Key points

> 40 scheduled Line maintenance night stop locations

> 6 Light Base maintenance locations - extended hangar inputs

> 5 Heavy Base maintenance locations

Legend

Light Base

Heavy Base

Line

7

DATA DRIVEN DECISIONS

8

erratic CONSUMPTION

2

145

-

20

40

60

80

100

120

140

160

Oct2015

Dec2015

Feb2016

Apr2016

Jun2016

Aug2016

Oct2016

Dec2016

Feb2017

Apr2017

Jun2017

Aug2017

Oct2017

Dec2017

Feb2018

Apr2018

Jun2018

Aug2018

Oct2018

Dec2018

Feb2019

Apr2019

Jun2019

Aug2019

AVG Unit per tail

AVG Unit per tail

9

Still doesn’t help

0

12

-

2

4

6

8

10

12

14

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

AVG Per Tail Per Station

AVG PER TAIL PER STATION

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So what impacts

14% 12%

64%

10%

0% 0% 0%

10%

20%

30%

40%

50%

60%

70%

Sum at 1-2 yrs Sum at 2-3 yrs Sum at 3-4 yrs Sum at 4-5 yrs Sum at 5-6 yrs Sum at 6-7 yrs

Age of Cabin

11

So what factors

Why the age of the cabin not the aircraft?

How does location play into it?

Why does it completely vanishes after 6 years?

How will the demand be met in the future?

Predictive maintenance and impact on supply chain

13

Why do we want it?

Decrease Operational Interruptions: •Cost reductions: operational, EU261 •Passenger satisfaction •Increase operational performance Decrease direct operating costs: •Extends time-on-wing for components •Spare parts inventory and positioning •Spare aircraft •Cost of repair (less damaged parts…) •Avoid MEL items

REDUCE COST!!!

14

Pre-predictive

0

5

10

15

20

25

30

Jan 2017 Feb 2017 Mar 2017 Apr 2017 May 2017 Jun 2017 Jul 2017 Aug 2017 Sep 2017 Oct 2017 Nov 2017 Dec 2017 Jan 2018 Feb 2018 Mar 2018

Removals Jan 17-Mar 18

15

Post predictive

0

5

10

15

20

25

30

35

40

45

Apr2018

May2018

Jun2018

Jul 2018 Aug2018

Sep2018

Oct2018

Nov2018

Dec2018

Jan2019

Feb2019

Mar2019

Apr2019

May2019

Jun2019

Jul 2019 Aug2019

Removals Apr 18 - Aug 19

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Frequency of removals

-

1,000.00

2,000.00

3,000.00

4,000.00

5,000.00

6,000.00

7,000.00

Hours Per Removal

17

“Short term” impact

0

5

10

15

20

25

30

35

1 2 3 4 5 6 7 8 9 10 11 12

failures per month

predictive failures

actual failure

total removals

18

Prepare for increased demand

0

5

10

15

20

25

30

35

1 2 3 4 5 6 7 8 9 10 11 12

failures per month

predictive failures

actual failure

total removals

Q&A session

Thank you!