Commercial and Operational Planning for Revenue Growth and Cost Reduction Dr Emre Serpen, Intervistas Consulting Group
EVP
Intervistas team members have extensive airline strategy and network design assignments worldwide
Realizing the vision together
InterVISTAS Offer Extensive Experience and Expertise with Improving Airline Strategy, Tactics, and Functional Effectiveness Improving Revenues and Reducing Costs
InterVISTAS has extensive experience and expertise with improvements in airline commercial operations. Driving in revenue growth and cost reduction for airlines. Revenue Growth
Cost Reduction
•
Network Optimisation
•
Benchmarking and diagnostic assessment
•
Hub optimisation
•
Route performance and restructuring
•
Fleet utilisation
•
Crew Productivity Improvement
•
Pricing
•
MRO cost reduction and outsourcing
•
Revenue Management
•
•
Distribution
Ground handling cost reduction and outsourcing
•
Cargo optimisation
•
Operations Control Centre Improvement
•
Distribution cost reduction
•
Staffing and administrative costs
InterVISTAS offers industry data, optimisation tools, and former airline experts whose approach is analytical with a focus on delivery of benefits. 3
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Strategic Planning for Airlines - Overview
1
2 Strategic Intent
Global Continent/Region Country Specific Segment
3 Strategic Assessment
Demand Supply SWOT Market Forecasting
4 Network Design and Fleet Planning
Long Term Short Term Hub Design Fleet Planning
44
5 Business Model Alignment
Commercial Operational Subsidiaries Organisational
Business and Implementa tion Planning
Business Plan Implementation Plan
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Identify markets that drives best prospects for profitable operations
High Potential Markets 1. Evaluation of share gap and identification of opportunities where market growth exceeds marketshare growth 2. Identification of markets with fast and high yield growth opportunities
Source Intervistas Analysis
3. Identification of Airline market share: 1. 2. 3. 4.
market share growth in growing markets market share loss in growing markets market share growth in shrinking markets market share loss in shrinking markets
4. Relationships between market, market share and pricing changes 5. Dominate own catchment area/Hub
Source Intervistas Analysis
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Market Forecasting
Forecast and focus on markets with growth and yield yield
Market forecasting
Top down = GDP/capita X Elasticity Bottom Up = MIDT/PAXIS/DIIO Analyse forecast results to identify specific market forecast insights: 1.
Sort by market size
2.
Sort market growth rate
3.
Sort by yield
4.
Sort by circuitry
5.
Sort by Size x growth rate x yield x circuitry
6.
Destinations Airline is not flying
Source Airbus
Under represented markets identified in the market forecast will be used in scenario formulation Realizing the vision together
Network improvement for revenue maximisation Key Steps 1.
Calibration, Scenario Development
2.
Unconstrained long term view
3.
Maximise commercial opportunity
4.
Market Forecast, Average Fares, Costs, Schedules
5.
Test different scenarios, network optimisation
6.
Network that maximises Route Level Variable contribution – Improve Fleet utilisation
7.
Differential revenue from connecting passengers Determine changes in connectivity, passenger numbers and yield for long haul pillar flights, medium haul flights, regional flights, short haul domestic flights.
8.
Improve Airline ’s market share in fast growing, high yield markets with good Hub circuitry
DME
7
SVO
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Short term Route Profitability Improvement
Key Steps
Example: Constraints with Impact on Profitable Network Growth
1. Objective is an optimised short term hub design, including improvements in connecting markets and incremental financial performance compared with the current schedule. 2.
A list of potential new destinations and frequencies identified for immediate implementation
3. Evaluate current near-term operational constraints at Hub (airspace, aircraft movements during peak hours, bilaterals, slots, curfews, gate space restrictions) which may prevent increase of frequency/capacity of flights or the introduction of new flights.
Example: Evaluation of Flights According to Route Profitability and Revenue Performance
4. Analyse Airline ’s capability in consistently delivering aircraft turn times (critical for optimal hub performance). 5. Focus on time of day changes to maximise number of meaningful connections between markets as these could be implemented without much operational impact 6. Sort flights according to contribution and take action for improvements in system wide variable contribution
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Selection of the right fleet plan, and improvement of fleet utilisation Example: Fleet Operating Costs Analysis
Key Steps . 1. Develop optimal fleet plan supporting the long term network plan
2. Provide recommendations for redeployment of fleet plan 3. Review current Airline fleet including age, maintenance requirements/costs, onboard product, range, fuel burn and fleet commonality. 4. Review current fleet orders and compare it against the optimised long term network requirements maximizing route profitability and fleet utilization.
Example: Fleet Optimisation Analysis
5. Apply fleet plan to proposed passenger forecast and schedule to assess the optimal types/mix of aircraft that will most efficiently operate the route network.
6. Assess how the fleet plan will evolve over the forecast period taking retirements and new deliveries into consideration. 7. Ensure that fleet utilization is optimised 8. Develop optimal narrow body and wide body fleet ratios in the near term, considering optimal requirements for the Hub 9. Buy versus lease calculations Intervistas Analysis
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Intervistas uses Industry Trusted Sources And Professional Network Optimisation Tools . The modelling tool uses discrete choice methodology, an advanced form of the QSI passenger market share forecasting method.
Realizing the vision together
Turkish Airlines: Development of Istanbul Ataturk Hub Structure THE NEED Description: Emre Serpen and InterVISTAS team worked with Turkish Airlines (TK) to design a hub structure at Istanbul Airport. The scope of the project included: •
Market Analysis – analysis of demand and supply, changes in the market place, share gap, opportunities to identify fast growth and high yield markets to take advantage of Istanbul Hub.
•
Best Practices – analysis of wide hub design best practices worldwide, comparison of different hub structures, hub design principles and learning's from successful and capacity constrained hubs.
•
Market Forecasting – execution of a market forecast taking into account long-term/top-down forecast driven by GDP growth and travel propensity of TK’s current and projected markets, as well us bottom up analysis including MIDT pax flown data. Further to market forecast comprehensive analysis of fast growth and high yield markets taking into account circuitry advantages of Istanbul Airport.
•
Hub Design and Analysis and Implementation Plan – development of hub growth and bank structure development scenarios leveraging results of the previous activities. Scenarios are discussed and analysed using sophisticated network optimization tools working closely with TK network management team. Focusing on scenarios maximising long term contribution.
THE RESULT Project needed extensive market analysis and scenarios. The team had to convince TK of the scenario’s an approach. More than 70 optimisation runs were executed using specialist tools. The project delivered $500 million and TK was very pleased. Project also contributed to the decision of establishing the Third Istanbul Airport, reported to be largest worldwide.
Lead Consultant: Dr. Emre Serpen 11
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Pricing and Revenue Management Improvement Approach to Improve Revenues, Load Factor and Yield
Diagnosis
Solution Development
Implementation Support
Testing & Evaluation
Improved Revenue Results
Market and Revenue Share versus Expected
Market Segmentation : use of Fare Rules and Booking classes
Development of detailed processes and working methods
Liaise with systems suppliers
Effective use of systems, tools and data
Hands on and class-room training
Organisation structure and interaction with Sales, Airports
Coaching
Review and Assessment of results
Processes and working methods
KPIs & Performance Management
“Use of time” analysis
12
Realizing the vision together
Revenue Management Improvement Illustration – Analysis of Fare Structures and Use of RBD’s
Key Steps 1.
Review of fares, competitors, Matrix
2.
Strategic pricing
3.
Target LF profiles
4.
Critical flight management
5.
Longer term focus
6.
Effective sales interactions
7.
Overbooking management
8.
Standard processes, KPI’s
9.
Commercial plan do review
Analysis of fare usage is important to understand where there are potential opportunities: • Mismatch between actual yield and published fares: abuse or pro-ration issues? • Fares in wrong class, Overlap of RBD’s, Over or under use of RBD’s • Exchange rate impacts? Inconsistent fare conditions? • Poor inventory controll, Revenue Leakage ? 13
Realizing the vision together
Example: Implementation a New “Revenue Planning & Delivery” Process Month Market
Year To Date
Revenue
RPKs
(SAR) EUROPE
% vly
ASKs (000s)
% vly
Seat Factor Rev/ASK (000s)
% vly % pts vly
Rev/RPK
% vly
Revenue
% vly
RPKs
(SAR)
% vly
ASKs (000s)
% vly
Seat Factor (000s)
% vly
%
Rev/ASK Rev/RPK
pts vly
% vly
% vly
102,724,572
20
159,911,765
11
302,091,494
6
622
9
8.95
2
3.73
4
102,724,572
20
159,911,765
11
302,091,494
ABU DHABI
2,682,202
5
3,377,248
0
4,662,372
6
72
-4
0.79
5
0.58
-1
2,682,202
5
3,377,248
0
4,662,372
6
BAHRAIN
1,165,241
-21
1,431,846
-19
3,579,906
15
40
-17
0.81
-3
0.33
-32
1,165,241
-21
1,431,846
-19
3,579,906
15
6
DOHA
1,289,804
-4
1,675,258
-3
2,862,860
0
59
-2
0.77
0
0.45
-4
1,289,804
-4
1,675,258
-3
2,862,860
0
DUBAI
42,116,594
2
48,871,655
4
83,360,580
28
59
-13
0.86
-3
0.51
-21
42,116,594
2
48,871,655
4
83,360,580
28
KUWAIT
11,876,004
46
11,982,368
20
24,159,752
40
50
-8
0.99
22
0.49
4
11,876,004
46
11,982,368
20
24,159,752
40
MUSCAT
981,779
-12
1,663,635
-51
3,050,168
-40
55
-13
0.59
81
0.32
46
981,779
-12
1,663,635
-51
3,050,168
-40
SHARJAH
458,376
4
642,805
7
1,638,824
0
39
3
0.71
-3
0.28
4
458,376
4
642,805
7
1,638,824
SALALAH
0
123,949
0
179,072
0
1,916,761
0
9
9
0.69
0
0.06
0
123,949
0
179,072
0
1,916,761
0
60,693,949
3
69,823,887
-5
125,231,223
6
382
-6
6.21
12
3.02
0
60,693,949
3
69,823,887
-5
125,231,223
6
AMMAN
10,322,184
-16
12,355,468
-21
21,392,468
-18
58
-2
0.84
6
0.48
2
10,322,184
-16
12,355,468
-21
21,392,468
-18
AHWAZ
0
0
3,796,926
31
4,455,570
49
85
-12
0
0
0
0
0
0
3,796,926
31
4,455,570
49
YAZD
0
0
12,279,325
191
14,598,325
233
84
-12
0
0
0
0
0
0
12,279,325
191
14,598,325
233
GULF
BEIRUT
7,871,040
-66
8,560,142
-64
20,036,136
-52
43
-14
0.92
-5
0.39
-29
7,871,040
-66
8,560,142
-64
20,036,136
-52
16,539,085
-11
23,901,938
-15
37,596,418
-22
64
5
0.69
5
0.44
14
16,539,085
-11
23,901,938
-15
37,596,418
-22
ISFAHAN
0
0
8,449,787
-41
9,911,620
-35
85
-8
0
0
0
0
0
0
8,449,787
-41
9,911,620
-35
KERMAN
0
0
15,262,146
254
18,418,470
319
83
-15
0
0
0
0
0
0
15,262,146
254
18,418,470
319
MASHAD
19,737,648
44
DAMASCUS
179,930
23
16,697,264
37
19,737,648
44
85
-4
0.01
-11
0.01
-15
179,930
23
16,697,264
37
URMIEH
0
0
4,080,250
0
4,809,750
0
85
85
0
0
0
0
0
0
4,080,250
0
4,809,750
RASHT
0
0
11,131,965
0
14,424,480
0
77
77
0
0
0
0
0
0
11,131,965
0
14,424,480
0
SANAA
2,921,776
-32
3,799,827
-37
11,000,481
14
35
-28
0.77
8
0.27
-40
2,921,776
-32
3,799,827
-37
11,000,481
14
SARY
0
0
16,275,054
119
18,056,040
132
90
-5
0
0
0
0
0
0
16,275,054
119
18,056,040
132
SHIRAZ
0
0
13,580,796
444
15,677,440
514
87
-11
0
0
0
0
0
0
13,580,796
444
15,677,440
514
TABRIZ TEHRAN ZAHEDAN MIDDLE EAST
0
0
5,850,390
19
6,375,980
26
92
-5
0
0
0
0
0
0
5,850,390
19
6,375,980
26
20
62,757,134
11
75,952,362
23
83
-9
0.48
8
0.39
-2
29,961,031
20
62,757,134
11
75,952,362
23
0
80
80
0
0
0
0
0
0
5,046,722
0
6,309,800
0
77 1214
8
3.71
1
1.98
-4
67,795,046
-5
223,825,134
58
298,752,988
77
0
0
5,046,722
0
6,309,800
-5
223,825,134
58
298,752,988
Annual Shared Sharedtargets targets --Pricing, Pricing,YM YMand and Sales Sales
0
29,961,031 67,795,046
Revenue Revenue Budget Budget
Revenue Revenue Delivery DeliveryPlan Plan Seasonal Revenue RevenuePlan Plan Workshops Workshops Output Output==Numbers Numbers ++Actions Actions
Action Action
Daily, Weekly, Monthly RM RM&&Sales Sales review review variation variationvs vsplan plan -agree -agreeactions actions
Joint Jointactions actions agreed agreed&& coordinated coordinated
Forecast Forecast Monthly Airline AirlineExec ExecTeam Team Understands Understands where where Revenue Revenueisisgoing going
Department Short term schedule and a/c adjustments
Network & Scheduling Product
Support Pricing Promotions
Marketing & Advertising
14
Monitoring Monitoring
Yield Management
Targets for R/ASK by Route, Overbooking
Tariffs & Pricing
Targets for Revenue and Yield by Market. Pricing Strategy. Pricing Policy & Guidelines.
Route and Market Joint Planning Sessions to decide actions required to meet targets.
Set and review seat availability versus new bookings, schedule
Request capacity changes. Adjust seat availability and overbooking
Input to forecast
Monitor market and competitors fares. Identify Price Opportunities
Approve & file new fares.
Input to forecast
Input to IATA
Sales & Distribution
Targets for Revenue by Market. Agents targets
Monitor market and competitor actions – price, product, promotion. Agent performance.
Communicate new fares & product. Manage agents.
Input to forecast
Finance
Budget Creation
Revenue Accounting
Revenue Accounting
Create Forecast
Realizing the vision together
An Example of How a Leading Latin American Carrier Improved its Revenues Through a Commercial Change Management Program Kept fare differential with competitors Fine tuned pax mix
1. 2. 3.
Worked with promotions Opened economic classes Unsold group blocks released
AM YOY Change in RASK 30%
MEXVSA
MEXVER
MEXTIJ
MEXPVR
MEXMTY
MEXMID
MEXMIA
LAXMEX
HMOMEX
GDLTIJ
GDLMEX
GDLLAX
0%
CUNMEX
10%
BJXLAX
20%
ACAMEX
% Change, 2002 to 2003
1. 2.
Q1 Q2 Q3
-10%
THE RESULTS • • • • • •
Improvement of revenue during project Significant knowledge development Adopt PRM policies and procedures Adopt performance measures Excellent teamwork with sales Effective use of RM tool
Lead Consultant:
-20%
-30% Market
Syste m Tota l Flights Tota l Passe ngers Tota l Capacity Loa d Fa ctor Tota l Reve nue RASK Ave rage Fa re
Managed ManagedFlights’ Flights’LF LF should approx. 90% shouldbe be approx. 90% Low Yield Spill High Yield Spill Overb ook ing Levels Low Overb ook ing Levels High
Ma na ge d Flights Ma na ge d Flight - % of TTL Ma na ge d Flights' LF Poste d Flights Poste d Flights - % of TTL Poste d Flights' LF De nied Boa rdings DBs per 1000 pa x Ma na ge d/Posted Flights
2226 171434 272927 62.8%
2174 163862 264816 61.9%
2140 170296 261146 65.2%
2129 165571 260323 63.6%
2155 157237 263648 59.6%
2144 155198 262129 59.2%
2109 158447 257723 61.5%
441 19.8% 82.5% 91 4.1% 91.5% 283 1.65 4.8
395 18.2% 82.3% 73 3.4% 94.3% 165 1.01 5.4
406 19.0% 82.4% 68 3.2% 92.1% 242 1.42 6.0
352 16.5% 82.8% 62 2.9% 95.9% 155 0.94 5.7
320 14.8% 79.0% 39 1.8% 91.0% 108 0.69 8.2
369 17.2% 78.7% 50 2.3% 91.7% 130 0.84 7.4
418 19.8% 78.7% 57 2.7% 89.2% 195 1.23 7.3
Posted PostedFlights’ Flights’ LF LF should shouldbe be approx. approx.95% 95%
Dr.. Emre Serpen 15
Realizing the vision together
Copa Airlines Revenue Management Needs Study THE NEED In 2005 Copa Airlines had grown to a size and network complexity where they needed a sophisticated revenue management system to manage the diverse markets and mix of local and connecting traffic. The airline was unfamiliar with the science behind the various systems and needed guidance in selecting a solution that would address their needs. THE SOLUTION InterVISTAS performed a requirements analysis study to define the airline’s critical RM needs from which an RFI and RFP where developed and distributed to the prospective vendors. InterVISTAS coordinated evaluation of the vendor responses leading to a sound system recommendation. InterVISTAS applied its revenue management simulation model to demonstrate the value of increased forecast accuracy and provide the justification for the system investment. Additionally, InterVISTAS identified a number of opportunities for process and policy improvements necessary to maximize system benefits and provided a comprehensive revenue management concept training program to better focus the efforts of the RM controllers. THE RESULT
As a result of the study, Copa Airlines selected and implemented a sophisticated revenue management system that recovered its costs within the first three months of implementation and contributed substantially to the airline’s ability to maintain a yield premium versus their competitors.
Lead Consultant: Nigel Brownlow 16
Realizing the vision together
Cost savings thru improving distribution Mix Decreasing distribution costs
Key Steps
Leisure Business Decreasing distribution costs
1. Determine the current channel mix, identify distribution processes, revenue and cost by channel, and find improvement opportunity 2. Develop future distribution channel mix including specific processes, costs, and margins 3. Reduce distribution costs
On-Line Airlines’ own websites
Direct
Airlines’ websites for corporate bookings Orbitz “Supplier Link” Internet travel agents such as Expedia, Travelocity
Indirect
Off-Line Call Centres ATO/CTO Corporate Implants GSA’s Retail Travel Agents Wholesale Travel Agents
Portals linked via GDS such as Opodo and Orbitz (other)
Corporate Travel Agents
4. Review channel mix 1. 2. 3. 4.
current distribution channel mix, segments, unit revenues, unit costs per channel, including benchmarking GDS fares, particular high yield segments, first and business class sales
5. Channels to include Travel Agency/GDS, ATO/CTO, online corporate, call centre, website
17
Realizing the vision together
Distribution cost reduction
Source Intervistas Analysis
Realizing the vision together 18
Oman Air: Distribution Strategy THE NEED Description: Oman Air wanted to improve its distribution cost structure and take advantage of direct distribution as well as achieving better reach to high yield business passengers. Team led by Dr. Emre Serpen developed a distribution strategy executing following project activities: •
Interviews and information capture on channels, segments per channel, unit revenues and costs per channel
•
Develop ‘as is’ distribution mix where segments per channel, and channel costs are identified
•
Review distribution industry best practices
•
Develop ‘to be‘ distribution mix expanding share of direct distribution and other measures
•
Develop financial model identifying the benefits of the new distribution mix where the distribution costs are reduced and access to high yield customers is improved
•
Benchmark ancillary revenues and develop ancillary revenue improvement strategy
•
Define specific projects and implementation plan for execution of the proposed distribution strategy
THE RESULT Distribution strategy was approved and currently being implemented by Oman Air. Project identified significant opportunities for reduction of distribution costs.
Lead Consultant: Dr.. Emre Serpen 19
Realizing the vision together
Crew Optimisation Approach to Improve Cockpit and Cabin Crew Productivity and Cost Reduction
20
Realizing the vision together
Cost reduction thru operations planning – reduce crew costs
Key Steps 1. Alignment of the operational activities support business model changes – Review cost structure, assess changes to the operational costs, productivity improvements 2. Determine improvements in performance targets to support the business model changes 3. Determine target CASK to support business model 4. Review current cost structure, direct and indirect
5. Direct costs include 1. Fuel, MRO, Ground Handling, Catering,
6. Determine initiatives for productivity improvement and unit cost reduction to meet target CASK 7. Alignment of the operational activities support business model changes- Crew and integrated operations control improvements 8. Alignment of organisation and performance measures 9. Projects and initiatives for reduction of operational costs and improvements in productivity This will include major cost items such as Fleet (Utilisation), maintenance, crew, ground handling costs, overheads and other areas
21
Realizing the vision together
Example: Crew Manpower Plan Dec-10 Crew Demand Block Hours Scheduled Block Hours--Crew Month Pay & Credit Percentage Credit Hours Total Hours to Crew Crew Utilization (per line) Crew Required: Scheduled Flying Crew Required: Reserves for IrOps Sick Leave Extended sick Vacation--Committed Vacation for new captains Recurrent Training Miscellaneous Absence Crew Required: Total
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
4713 4561 7.39% 337 4898 75.9 64.6 6.5 4.4 1.0 5.4 0.0 4.4 1.0 87.1
4609 4938 7.69% 380 5318 78.0 68.2 6.8 4.6 0.9 9.0 0.0 4.5 1.0 95.0
5205 5037 7.69% 387 5424 79.5 68.2 6.8 4.7 0.8 9.3 0.0 4.7 1.0 95.6
5225 5225 7.69% 402 5627 79.5 70.8 7.1 4.9 0.7 4.6 2.5 4.9 1.0 96.4
5924 5924 7.69% 456 6380 79.5 80.2 8.0 5.1 0.7 13.3 0.0 5.1 1.0 113.4
6278 6278 7.69% 483 6761 79.5 85.0 8.5 5.1 0.7 9.4 1.1 5.0 1.0 115.9
6121 6121 7.69% 471 6592 79.5 82.9 8.3 5.0 0.7 10.7 0.8 5.0 1.0 114.4
6368 6368 7.69% 490 6858 79.5 86.3 8.6 5.0 0.7 13.4 0.0 5.0 1.0 120.0
6234 6234 7.69% 479 6713 79.5 84.4 8.4 5.0 0.7 10.5 0.8 5.0 1.0 115.8
6302 6302 7.69% 485 6787 79.5 85.4 8.5 5.0 0.7 11.1 0.7 4.9 1.0 117.2
6279 6279 7.69% 483 6762 79.5 85.1 8.5 4.9 0.7 4.3 2.6 4.9 1.0 112.0
5836 5836 7.69% 449 6285 79.5 79.1 7.9 4.9 0.7 8.2 1.5 4.9 1.0 108.1
110.0 0.0 5.0 0.6 114.5
114.5 0.0 5.0 0.6 118.9
118.9 0.0 5.0 0.6 123.3
123.3 0.0 5.0 0.6 127.7
127.7 0.0 0.0 0.6 127.0
127.0 0.0 0.0 0.6 126.4
126.4 0.0 0.0 0.6 125.8
125.8 0.0 0.0 0.6 125.1
125.1 0.0 0.0 0.6 124.5
124.5 0.0 0.0 0.6 123.9
123.9 0.0 0.0 0.6 123.3 Year Avg
123.3 0.0 0.0 0.6 122.6 123.6
1.8 0.0 0.0 5.0 3.0 9.8 0.0 104.6
1.9 2.5 0.0 5.0 3.0 12.4 -2.5 109.0
2.0 7.5 0.0 5.0 3.0 17.5 -7.5 113.3
2.1 10.0 0.0 2.5 3.0 17.6 -10.0 120.1
2.1 5.0 0.0 0.0 3.0 10.1 -5.0 121.9
2.1 0.0 0.0 0.0 3.0 5.1 0.0 121.3
2.1 0.0 0.0 0.0 3.0 5.1 0.0 120.7
2.1 0.0 0.0 0.0 3.0 5.1 0.0 120.0
2.1 0.0 0.0 0.0 3.0 5.1 0.0 119.4
2.1 0.0 0.0 0.0 3.0 5.1 0.0 118.8
2.1 0.0 0.0 0.0 3.0 5.1 0.0 118.2
2.1 0.0 0.0 0.0 3.0 5.1 0.0 117.6
Surplus / Shortfall
17.5
14.0
17.7
23.7
8.5
5.4
6.2
0.1
3.6
1.6
6.2
9.5
Hard Hours per Line Crewmember Crews / Aircraft Number of Aircraft
43.6 5.8 20
45.3 6.2 20
44.5 6.0 20
43.5 6.2 20
48.6 5.6 22
51.8 5.1 24
50.7 5.1 24
53.1 5.0 24
52.2 5.0 24
53.0 4.9 24
53.1 4.9 24 Year Avg
49.6 4.9 24 5.4
Crew Availability
Initial Headcount New Hire Captains (qualified) New Upgrade Captains (qualified) Attrition Revised Headcount Training Captains Trainer (simulator, line check) Line Captain covered by FO IOE Displaced Captains from FO IOE Line FO covered by Captain IOE Management Pilots Total Training Captain FTE's Adjustment: Training Capt. As Capt. Headcount Available (for line duty)
110.0
0.0 0.0 2.5 2.5 0.0 107.5
22
Realizing the vision together
40 million USD benefits through better operational planning THE NEED Client saw an opportunity gain efficiencies through restructuring its airline operations management, including production planning. Emre Serpen and team of consultants (in a previous role) were engaged to lead the project. THE SOLUTION Emre Serpen’s team examined the prevailing crew resource, maintenance and engineering management. A new process and procedural model was developed which the team then helped to implement. Job specifications were devised and assistance given with staff selection and appointments. Human resource capability was expanded. Training and coaching was given to support the model.
Source: Mercer Report
THE RESULT Following implementation of the recommendations, client achieved an average of a 10% increase in productivity across key resources.
Airline Business Strategy Feature Oct 2002 Lead Consultant: Dr.. Emre Serpen 23
Realizing the vision together
Typical IOC Program Overview to Reduce Costs, Protect Revenue and Customer Service Diagnostic and new IOC vision
Process and organization change implementation
IOC Systems implementation
Review of the Business Strategy Collect and review existing information
Develop and implement processes complementing selected system solution
Systems integration plan and interfaces
Diagnostic review of the current Hub/Operations Control and Systems
Industry best practices and OCC benchmarking Future Blueprint Including • Proposed concepts, analysis and recommendation • Functional representation and key processes, Organisation, layout • Information requirements
Co-location of new functions in OCC Develop and implement organisation and job specifications Develop and implement key performance measures
Staff selection, development centre appointments and implementation of the organization Change management and communications program Training and support
Benefits Case Program Management Implementation Plan
Preparation of RFI
Development of the technical specification and RFP Evaluation of bids and recommendation Negotiation Support
Process mapping and description of systems configuration Map interfaces and define information flow Coordinate support for the development of facility, and infrastructure Program Monitoring
24
Realizing the vision together
Calculation of Costs and Lost Revenue Driven by Bub-optimal Operations Control Decisions Engineering Airports
Crew
IOCC
Overlap in roles and responsibilities Communications
Sub-optimal Business Decisions
11 identified incidents in 8 months resulting in :
6500 Delay minutes 4300 affected passengers over $1.5 million cash outlay over 150 written complaints
Lack of early, relevant data Limited collective Understanding
Total length % Delay minutes Disruption costs % No. of pax Disruption costs of delay recoverable recoverable Cash outlay recoverable affected recoverable (IOC) (mins) from IOC (IOC) from IOC
Incident CX880 / 10 Aug 96
152
100%
152
693
56,550
100%
CX888 / 10 Aug 96
99
100%
99
716
38,688
100%
56550 38688
CX251 / 06 Dec 96
925
0%
0
480
264,000
100%
264000
CX289 / 15 Dec 96
171
0%
0
248
144,742
0%
0
CX400 / 23 Jan 97
461
30%
138
1,044
120,744
100%
120744
CX767 / 27 Jan 97
851
30%
255
395
6,600
0%
0
CX103 / 01 Feb 97
1,640
100%
1640
469
610,000
100%
610000
CX719 / 04 Apr 97
315
30%
95
457
7,780
0%
0
575
100%
575
2,360
100%
2360
1,259
100%
1259
298,900
100%
298900
CX508/ 04 Apr 97 CX2468 / 04 Apr 97 CX007 / 29 Nov 96 Total
6,448
25
4,213
248 4,750
1,550,364
1,391,242
Realizing the vision together
Deliver benefits thru effective IOCC OCC has good functionality and an operationally sound design. The physical structure of the building presents many limitations, however. This emphasizes the importance of ensuring that an appropriately sized facility is secured, with the proper dimension to facilitate a proper layout from conceptualisation.
Strengths Cost-effective
Lead Consultant:
Good cross-functional coordination Focus on passengers and service
Weaknesses Long, thin room limits communications Operational responsibility spread across multiple buildings
Dr.. Emre Serpen 26
Realizing the vision together
Effective integration of the commercial and maintenance plan processes drive the greatest downstream improvement value
M&E considerations in the design of the schedule, selection of fleet, heavy and line maintenance centres
Determine heavy check Strategy and location
Determine line maintenance
Strategy Determination of maintenance costs
Schedule design to be optimised for maintenance costs
Value lost in commercial and Maintenance Activity coordination
Cross-functional Production planning
Team to have both Network and maintenance Representation
Regular meetings and forward management of the plan and changes
Value lost in ineffective Representation of Maintenance Control Activity in day-to-day operations control locations
Colocate MCC in OCC
Expected Savings (e.g., one A-check per aircraft per year)
Design of KPIs avoid ‘Delay code’ problem
Expected savings in man hour cost: 450 man hours per Acheck * 50 USD per hour $ 22,500 saving per A-check
Savings in delay minutes due increased
Stability of aircraft allocations
Improvement action (e.g., colocate MCC with OCC)
Benefit is gained efficiency due to better coordination
Expected savings in material cost 3000 USD per material costs per A-check Total savings, 25,500 per A-check Prorate to total fleet for 100 fleet airline, 2.5 million saving impact on the bottom line
Realizing the vision together
Reduce Line Maintenance Costs and Improve Productivity 1.
Selection of Line Maintenance Bases: Line maintenance base should considered against the schedule to minimise costs
2.
Airline Staffing Comparison
Maintenance Program: Ensure the transit checks and overnight checks are performed in compliance with program
3.
Planning:
Material Kitting: Prepare Line Check kits consisting of all material (rotables and consumables) required to perform their jobs efficiently
6.
OA3
OA4
160
123
93
126
88
84
70
74
% Of Direct Staff
55%
68%
75%
59%
% of Indirect Staff (Overhead)
45%
32%
25%
41%
Number of Aircraft
12
22
17
36
Ratio Technicians/Aircraft
7.3
3.8
4.1
2.1
13.3
5.6
5.5
3.5
Total Staffing in Technical Dept
Shift Optimization: Staff according to aircraft maintenance demand –
5.
OA2
Direct Staffing (Technicians)
Carefully manage maintenance yield of Line checks –
4.
OA1
Outstation Contracts:
Ratio Total Staffing/Aircraft
Pro-actively negotiate and establish on-call contracts for low traffic cities
7.
Insource Contracts: Become the dominant supplier of Line Maintenance services in your hub cities
Realizing the vision together Source: InterVISTAS Knowledge Base
Extensive MRO specific data, processes Maintenance Spend, 2007 USD Billions
60.0 Africa Asia / Pacific
50.0
Latin America Europe & Mid East
40.0
US & Canada
30.0
20.0
10.0
.0 1991
2,000,000
2001
2006
2011
2016
4,000
MD11 MD-90 EMB 170/175 A318/319/320/321 777-2/300 747-400 747-1/2/300
1,600,000 1,400,000
3,600 3,200 2,800
1,200,000
2,400
1,000,000
2,000
800,000
1,600
600,000
1,200
400,000
800
200,000
400
-
Total FTEs
1,800,000
Total MHs
1996
2007
2008
2009
2010
2011
2012
2013
2014
2015
29
Realizing the vision together
Significant cost reduction and productivity improvement
THE NEED • Extensive participation including 120+ management and mobilization days including 3500+ Turkish Technic staff • Diagnostic Assessment, Benchmarking, Design of Processes, Organization, Job Specifications, Performance Measures recommendations implemented with successful results • Customer Service processes and organisation • Development of Long term maintenance plan
• Supply Chain is driven by material forecasts as defined in long term maintenance plan rather than previous years usage • Acceptance of accountability by Body, Engine Shop, Component Shops to develop their own short term production plans with delivery accountability • Engineering spending more time at the shop floor, with engineers gaining practical experience and contributing their engineering knowledge • Increased productivity Turkish Technic is supporting 100 aircraft with the same workforce (20+ Aircraft) and with significantly increased third party revenues • Implementation of performance measures
THE RESULT
Lead Consultant:
Improved engine TAT Widebody improved utilisation Narrowbody improved utilisation Volume discounts Labour productivity
$XM
Improved engine TAT Widebody improved utilisation Narrowbody improved utilisation Volume discounts Labour productivity
Dr. Emre Serpen 30
Realizing the vision together
Cargo Revenue Growth, Belly and Freighter Revenue Improvement and Cost Reduction
31
Realizing the vision together
Improving cargo profitability
CGK-HKG (V.V.) by A330 Freighter
2012
Total Operating Revenues Scheduled Full Freighter Revenue Cargo Charter Revenue Other Revenue Passenger (belly) Revenue Total Revenue CGK-HKG (V.V.)
4.009.805 4.009.805
2013
2014
2015
2016
6.879.467 4.121.705 11.001.173
6.879.467 4.233.606 11.113.073
10.319.201 4.345.506 14.664.707
10.319.201 4.469.619 14.788.820
4.872.671 487.267 584.721 1.533.989 63.916 608.920 93.054
7.309.006 730.901 877.081 2.300.983 95.874 913.379 139.581
7.309.006 730.901 877.081 2.300.983 95.874 913.379 139.581
Direct Operating Cost (including Ownership) Fuel Cockpit Crew Maintenance Depreciation Insurrance ATC/LDG charges Sales Commision
-
4.872.671 487.267 584.721 1.533.989 63.916 608.920 93.054
Total Direct Operating Cost Total Indirect Operating Cost Total Full Freighter Operating Cost
-
6.553.578 1.690.959 8.244.537
6.553.578 1.690.959 8.244.537
9.830.367 2.536.438 12.366.805
9.830.367 2.536.438 12.366.805
Charter Operating Cost Passenger (belly) Operating Cost
0 5.371.896
0 5.525.471
0 5.679.046
0 5.832.622
0 6.002.598
Total Operating Cost CGK-HKG (V.V.)
5.371.896
13.770.008
13.923.583
18.199.427
18.369.403
-1.362.090
-2.768.835
-2.810.510
-3.534.720
-3.580.583
-34%
-25% -19,8%
-25% -19,8%
-24% -19,8%
-24% -19,8%
Profit (Loss US$) Profit Margin Profit Margin Freighter
32
Realizing the vision together
Proprietary analysis tools Example: Project Approach Example: Route Analysis
Example: Freighter and Belly Business Plan SAR (Millions)
2006 Baseline
2007 Year 1
2008 Year 2
2009 Year 3
2010 Year 4
2011 Year 5
2012 Year 6
2013 Year 7
Total Operating Revenues (Net) Total Cargo Scheduled Revenue
Example: Diagnostic Analysis
488
569
622
749
799
844
880
918
8
15
15
15
15
15
15
15
49
49
49
49
49
49
49
49
544
633
685
813
863
907
944
981
30 51 47 7 12 56 2 7 6
38 142 100 4 13 55 2 5 11
47 181 124 6 16 65 3 5 11
57 220 147 7 19 75 3 6 11
59 227 153 7 19 79 3 6 11
60 233 157 7 20 81 3 6 11
61 237 160 7 20 82 3 6 11
62 240 162 7 21 84 3 7 11
Total Aircraft & Other Lease Costs
218
370
458
544
564
580
589
598
Total Indirect Operating Costs
307
269
282
306
306
312
313
312 910
Cargo Charter Revenue Other Revenue Total Revenue Aircraft & Other Lease Costs (Incl. Ownership) Flight Crew Employment Cost Fuel Direct Maintenance Landing Fees Overflight Aircraft, Engines & Components Depreciation Insurance Passenger Operating Costs Charter Operating Costs
Total Operating Costs Profit (Loss) Profit Margin
Example for illustration 525
639
740
850
870
892
901
19
-6
-55
-37
-8
15
42
71
4%
-1%
-8%
-5%
-1%
2%
4%
7%
-26 8,173 517 63,649 8.6
-26 9,623 596 70,161 9.0
-34 11,859 734 77,818 8.8
-38 13,757 884 92,531 8.8
-40 14,073 905 98,483 8.8
-42 14,454 919 105,357 8.6
-42 14,454 922 109,794 8.6
-42 14,454 926 114,426 8.6
-6.0 76.9% 1.05 0.42 1.02 66,613 26,705 64,272
-7.1 64.5% 1.06 0.62 1.07 65,776 38,497 66,431
-6.7 55.4% 0.93 0.62 1.01 57,786 38,640 62,444
-7.0 58.5% 0.92 0.62 0.96 59,065 39,566 61,786
-6.8 59.4% 0.95 0.62 0.96 61,304 40,075 61,854
-6.6 62.0% 0.99 0.63 0.97 62,771 40,133 61,699
-6.6 64.6% 1.02 0.64 0.98 65,279 40,736 62,370
-6.6 67.3% 1.06 0.65 0.98 67,896 41,349 62,969
Operating Metrics Freighter Fleet at Year-End 12/31 Total Weekly Departures (both directions) Total Block Hours Total Available Ton Kilometers (Millions) Total Cargo Carried (000s) Average Rate per Kilogram Comparative Metrics Average Daily Utilization (Block Hours) Average Block Hours per Flight System Load Factor (Belly/Freighter Combi) Total Operating Revenues per ATK Total Direct Operating Costs per ATK Total Operating Costs per ATK Total Operating Revenues per Block Hour Total Direct Operating Costs per Block Hour Total Operating Costs per Block Hour
33
Realizing the vision together
Our Airline Practice Lines are Focused on Airline Strategy & Airline Performance Improveme nt Strategy and Finance
Performance Improvement
Strategy – Develop strategy, feasibility studies and
Commercial Improvement – Airline Revenue
business planning
Improvement
‒ Market Forecasting (Airline, Airport, MRO, Cargo)
‒ Pricing and Revenue Management
‒ Start up Airline and MRO feasibility and business plan ‒ Mergers and acquisitions planning ‒ Product strategy
‒ Marketing, Sales and Distribution ‒ Technology solutions supporting revenue growth ‒ Product, Customer Service, CRM
Network and Fleet Planning – Develop and
Operations Improvement – Airline Productivity
optimise airline network and route plans
Improvement and Cost Reduction
‒ Route Planning and Schedule Development, Alliances
‒ Diagnostic and Cost reduction
‒ Hub design and optimization, slot remarketing ‒ Fleet planning , Aircraft leasing and remarketing
‒ MRO productivity improvement ‒ Crew Resource Management
Financial Services – Evaluate airline investment
‒ Integrated Operations Control
opportunities
Restructuring & Change Management – Airline
‒ Due diligence (Airline, Airport, MRO, Cargo, GH) ‒ Privatization and spin-off and financing of Airline, MRO, Pilot School, GH, Cargo
Transformation and Turnaround ‒ Restructuring (Airline, MRO, Cargo, Aerospace) ‒ Start up Implementation
IT Strategy – Assess IT strategy and infra-
‒ Performance management
structure
‒ Organisation improvement and change management.
‒ Information systems and corporate data warehouse ‒ Passenger service systems and distribution
IT Implementation – Project Management ‒ IT project management, Systems Integration ‒ Supplier negotiation and implementation management
34
Realizing the vision together
Delivering financial improvements through revenue growth and cost reduction for 70+ airlines Dr. Emre Serpen
Turkish Airlines
South African Airways
Temasek (SQ)
Market evaluation, capacity assessment, SWOT analysis 2016 and 2012 network design, hub design, and schedule Business plan associated with the strategy
Marker assessment Strategy for maximizing share in Africa Selection of hub locations in west and central Africa Network design and fleet plan Business plan
SWOT analysis of Singapore Airlines Market forecasting Identify growth opportunities Develop strategy for medium and long haul network and fleet
Lead Consultant: Dr. Emre Serpen
Executive Vice President, Head of Airline Practice • 20+ years, 70+ airlines in 50+ countries
Lead Consultant: Dr. Emre Serpen
Lead Consultant: Dr. Emre Serpen
Malaysian Airlines
EgyptAir
LOT Polish Airlines
Evaluated the feasibility of a premium service in conjunction with another airline Market Forecasting Route Design Commercial Workshops Joint Venture/Codeshare Benefits
Company-wide strategy and turnaround Development of network, Cairo hub, and schedules Improvements in sales, marketing, organization, IT Fleet & Business Plan
Multiple network optimisation projects Alliance strategy analysis and decision for LOT to joined Star Alliance Develop Asian strategy and network for LOT Evaluate joint venture with Indian partner
Lead Consultant: Dr. Emre Serpen
Lead Consultant: Dr. Emre Serpen
Lead Consultant: Dr. Emre Serpen
Realizing the vision together
Our delivery team include experts from leading airlines and aviation consultancies worldwide
Realizing the vision together
Thank You Please contact Emre Serpen for queries eserpen@intervistas.com
+447944163891