Flexibility within Flight Operations as an Evaluation
Criterion for Preliminary Aircraft Design
Michael Husemann1 and Eike Stumpf2
Institute of Aerospace Systems, RWTH Aachen University, D-52064 Aachen, Germany
Katharina Schaefer3
DLR German Aerospace Center, D-51147 Cologne, Germany
The evaluation of airline’s operation data reveals the deviation of design parameters such
as mission payload or mission range from specifications defined throughout the design
process. Operating an aircraft outside its planned design space may lead to increasing
specific fuel consumption which again results in comparatively high operating costs and
emissions. However, airlines justify the purchase of oversized aircraft by being able to
maintain a certain level of flexibility within flight operations. In this case, such aircraft can
be operated on different types of routes covering varying numbers of passengers, various
distances and variable amounts of cargo depending on current demand. In this paper, one
possibility to assess flexibility as an evaluation criterion during the aircraft design process is
presented. Suitable attributes that affect flexibility are found and evaluated. In this context,
a survey was conducted, sent to operating airlines worldwide and analyzed to explore the
airline’s motivation for achieving preferably high flexibility. Participating airlines were
asked for current and future decisions referring to desired aircraft characteristics, the fleet
structure as well as the importance of flexibility parameters. Also, participants were
subdivided into groups concerning their market orientation to gain insight in possible
differences between operational aspects.
Nomenclature
CO2
DOC
IFE
ILR
LCC
MTOW
PAX
RITA
RWTH
TLAR
TOFL
=
=
=
=
=
=
=
=
=
=
=
Carbon Dioxide
Direct Operating Costs, US-$
Inflight-Entertainment-System
Institut fuer Luft- und Raumfahrtsysteme (Institute of Aerospace Systems)
Low Cost Carrier
Maximum Take-Off Weight
Passengers (Persons approximately)
American Research and Innovative Technology Administration
Rheinisch-Westfälisch Technische Hochschule
Top-Level Aircraft Requirement
Take-Off Field Length
I. Introduction
The aircraft design process is based on a set of top-level aircraft requirements (TLAR) that define the design
mission after such the specific aircraft is sized accordingly. Range, payload, cruise altitude, cruise mach number as
well as the required take-off and landing distance belong to the most important requirements specified by particular
customers (see Figure 1). The actual and final transport capacity of the specific aircraft which is derived from the
design process usually is represented by a payload-range-diagram. Demonstrating each range-payload-combination
1
Research Assistant and PHD Student at Institute of Aerospace Systems (ILR), RWTH Aachen University,
husemann@ilr.rwth-aachen.de
2
Head of Institute of Aerospace Systems (ILR), RWTH Aachen University, stumpf@ilr.rwth-aachen.de
3
Assistant to the Member of the Executive Board of German Aerospace Center (DLR), katharina.schaefer@dlr.de
1
payload
cruise Mach
number
payload
it envelopes all possible missions that can be flown by the aircraft (see Figure 2). Apart from technical requirements
economic factors like direct operating costs (DOC) are considered as absolutely essential for developing new aircraft
designs so as to each design is evaluated by its economic performance. After all, today’s air traffic is characterized
by a strong market competition due to customers demanding a broad variety of services and an increasing pressure
from rising costs and ecological regulations [20]. Airlines and other operators therefore pay much attention to
economic aspects in particular when purchasing new aircraft. To meet customers’ expectations and market demands
operators usually aim for a heterogeneous fleet composed of different types of aircraft such as short and long
distance aircraft developed by different manufacturers [8].
maximum payload
design payload
cruise
altitude
design
range
range
take-off distance
landing distance
range
Figure 2: Payload-range-diagram derived
from design mission
Figure 1: Aircraft design mission and definition of
top-level aircraft requirements
However, the evaluation of flight data statistics indicates that many airlines operate a large number of aircraft
outside the determined design space which might cause higher weights, operating costs and emissions of greenhouse
gases. Higher expenditures due to operations of larger aircraft on short distances and fewer payloads still are
accepted by operators as long as the overall profitability is guaranteed or even increased.
Both the actual mission range and mission payload frequently deviate from the values fixed during the design
process as a result of fluctuating passenger respectively cargo volume and changing flight plans. The American
Research and Innovative Technology Administration (RITA) publishes data amongst others on flown distances,
loaded payload and operated aircraft type of daily flight operations of the American air traffic4. The corresponding
payload-range-diagrams of two common single-aisle aircraft are illustrated in Figure 3 (Airbus A320-200)
respectively Figure 4 (Boeing 737-800)5. For instance, it has to be mentioned that a design range of 2,000 NM
respectively 2,600 NM and a design payload of 16,500 kg respectively 14,600 kg has been defined in the design
process for the aircraft A320-200. Furthermore, the payload and range distribution is plotted for both aircraft types
to illustrate daily operations patterns [29].
Figure 4: Payload-range-diagram of Boeing 737-800
Figure 3: Payload-range-diagram of Airbus A320-200
4
5
Data relating to the year 2010
Airbus A320-200 has been operated on 560,000 flights; Boeing 737-800 has been operated on 460,000 flights
2
It clearly can be observed that roughly any flight has been operated with maximum payload or rather maximum
number of passengers since the majority of all flights carried about 12,000 kg of paid weight. In addition, most
flights have been flown on relatively short distances of about 1,000 NM which, in fact, cover many inner-European,
inner-American and inner-Asian connections but deviate massively from the design value.
The findings of both illustrations demonstrate the initial presumption in terms of operating oversized aircraft.
Thus, it has to be assumed that airlines expect a certain level of operational flexibility that allows covering a broad
market segment. More specifically, one certain aircraft can be operated on different sorts of connections serving
variable numbers of passengers and cargo-units. Furthermore, flexibility is expected to generate fewer expenses than
operating two single aircraft designed for different missions. This paper deals with flexibility as an evaluation
criterion by finding parameters that influence an aircraft’s operational performance. The motivation for achieving
high flexibility is supposed to be detected by evaluating a survey that was sent to worldwide operating airlines.
Particular attention is paid to different airline groups such as national, low cost and regional carriers to identify
possible differences.
II. Flexibility within Flight Operations
In comparison to other public transportations air traffic is marked by an inflexible transport capacity since
demand fluctuation due to unpredictable events such as storms or strikes hardly can be compensated within a short
period of time [39]. Moreover, aircraft’s capacity is limited to a certain amount of payload (referring to passengers
and cargo) and, for instance, it is not possible to increase needed space of both the cabin and cargo compartment by
docking two aircraft with each other. Upcoming maintenance stops, unexpected failures due to malfunction of
systems or changing commitments by authorities are further issues that make fleet planning more difficult. To
maximize potential profitability – the actual principal objective of each business enterprise – operators have to focus
on current market demands so as to choose the right aircraft type on appropriate routes in the right time [3]. In case
of meeting current demand inadequately an exchange of the specific aircraft has to be made or, even worse, a second
flight has to be offered which probably ends in degradation of the seat load factor and therefore to higher expenses.
As a consequence, operators require aircraft that are characterized by a high flexibility, thus, such aircraft that can be
adapted to changing market conditions without much effort [22].
A. Definition of Flexibility
Flexibility generally is defined as the system’s ability to meet exogenous requirements as best as possible while
ensuring retention of former characteristics [28]. Flexibility deals with the potential of adapting an aircraft’s
characteristics to changing requirements over time. To get a better understanding when defining flexibility it has to
be distinguished between predictable as well as unpredictable events an aircraft is confronted with [7]:
Predictable events such as the aggravation of valid technical and environmental regulations are quite easily
taken into account since there usually is sufficient time to plan ahead. Aircraft that are capable of being
flexible towards those occurrences are typified as versatile.
Unpredictable events complicate daily operations massively since any reactions responding to those events
must be simple to deal with. Aircraft that are capable of being flexible towards those occurrences are typified
as robust.
Flexibility in terms of aviation therefore implies the scope of missions that can be flown efficiently over a broad
range of flight speed, flight altitude and flight distances while carrying various amount of payload. Depending on
current demand on a specific route the load factor can be increased easily while related operating costs are
decreased. Consequently, operators attach more and more importance to operational flexibility when buying new
aircraft [22] [9] [14].
B. Flexibility Parameters
Before evaluating operational flexibility several specifications must be identified that have significant influence
on an aircraft’s flexibility. However, in contrast to many other evaluation criteria, for example compared to direct
operating costs (DOC), there is no adequate criterion to measure or compare an aircraft’s flexible constitution.
Finding the actual level of flexibility therefore is quite difficult. Nevertheless, several characteristics are mentioned
in literature that are summed up to so called flexibility parameters. A different relevance dependent on the particular
type of business organization is attached to each parameter. It has to be mentioned that most aircraft characteristics
are fixed during the design process so as to flexibility characteristics are limited to a certain extent. The most
important parameters are listed as followed in Table 1:
3
Flexibility Parameters
BoernerKleindenst [19]
Clark [3]
Patterson[22]
Vasigh [33]
✔
✔
✔
✔
Performance of Aircraft
Speed
Range
Altitude
✔
✔
✔
✔
Communality
Engines
Cockpit Design
Fuselage
✔
✔
✔
✔
✔
✔
Reconfiguration
Cabin
PAX ↔ Cargo
Payload
✔
✔
✔
✔
Ground Processes
Ramp Services
Loading
✔
✔
Requirements
Regulations
Airport Issues
✔
✔
✔
✔
✔
✔
✔
✔
✔
✔
✔
✔
✔
✔
Table 1: Overview of flexibility parameters derived from different literature
1. Performance of Aircraft
Parameters such as flight speed, flight altitude, and range belong to the group of TLARs and therefore to the
most important, quantifiable criteria that draw a significant distinction between several aircraft types. Having
explicit effects on profit positions of flight operations these parameters are of certain importance for operators. An
aircraft is considered as flexible if no negative effects on profitability are caused due to changes of those mentioned
parameters. For each aircraft design a specific initial cruise altitude and initial cruise mach number for minimizing
specific fuel consumption due to reduced drag are derived from the design process (see Section I.) [19]. However, if
the flight control allocates an altitude that is different from the optimal design value an aircraft’s flexible qualities
help to maintain equal flight conditions, above all fuel consumption. Plus, daily operations require various
connections so that different flight distances have to be flown. Therefore, flexible aircraft are supposed to be flying
economically on both short as well as long routes.
2. Communality
Defined as the similarity of at least two different components, communality has a huge effect on yielding both
operational as well as technical advantages by reducing the system’s complexity. In the field of aviation
communality mainly refers to the design of engines, cockpits and fuselage [10] [12]. To be permitted to fly one
specific aircraft type a so called type-rating has to be acquired first. Thus, the more one aircraft resembles another
one in terms of cockpit design and flight characteristics the less effort has to be made in terms of obtaining the
particular license. Since a specific pilot is qualified to fly various aircraft types the effort of an airline’s fleet
management including training expenditures can be reduced significantly. Moreover, finding a replacement for
eventual failures is facilitated and, hence, the amount of replacement aircraft can be reduced.
Dependent on the operator’s marketing strategy it has to be distinguished between the standardization and
specialization of an aircraft type. National carriers particularly cover a broad market segment and, therefore, operate
various aircraft types by different manufacturers. This strategy falls back on aircraft specialization in first place so as
to a heterogeneous fleet is operated. In contrast to national carriers low cost carriers (LCC) mainly concentrate on
specific market segments that are characterized by point-to-point-connections plus less passenger services. In order
to decrease operating costs – the main objective of low cost carriers – one specific aircraft type is operated as
homogeneous fleet and advantages of the so called ‘family concept’ are guaranteed. However, it might be difficult to
react to short-term demand fluctuation because no other aircraft type that fits to the current demand situation would
be available.
4
3. Reconfiguration
Not only the growing overall passenger volume has to be taken into consideration by installing more and more
seats into the cabin but also the current cabin layout needs to be flexible and adaptable in case of daily demand
fluctuation [5]. Possible modifications have to be cost-efficient and implemented as quick as possible to minimize
the ground process measured by the turn-around-time. Furthermore, logistics companies often charter available
aircraft to transport postal items and packages by night when no regular flights are offered. In this case, the cabin
must be convertible without much effort to save time and expenses [31] [11] [15].
4. Ground Processes
An aircraft’s productive period of time depends on ground processes plus the actual turn-around-time. Because
operators try to avoid as much inefficient steps as possible to increase the productivity, alternative loading options
such as rear cargo doors and the possibility of carrying different containers facilitate the dispatch process. Some
special aircraft types are designed particularly for quick changes so as to available cabin space can be used for
additional cargo pieces [23] [24] [25].
5. Requirements
The objective of regulations established by national and international authorities is to protect the civilization as
well as the entire environment from harmful effects. In order to achieve these goals current laws and regulations
have been sharpened year by year which makes it more difficult for operators to involve certain aircraft in the fleet
management process [1] [5] [27]. An aircraft type that allows easy and affordable modifications, for example in
terms of noise reduction, will be permitted to land on more airports worldwide and, thus, is considered as being
more flexible than those that do not meet the requirements [6] [33]. Apart from complying with current international
regulations, every aircraft also must meet an airport’s individual requirements to obtain the permission to take-off or
land on each particular runway. Referring to the runway length, smaller aircraft usually require shorter runways and,
thus, can land on more airports worldwide which makes it more flexible in terms of operations [19] [2].
III. Flexibility Survey
The Institute of Aerospace Systems (ILR) created a survey titled “Flexibility within Flight Operations” that has
been sent to operating airlines worldwide. The objective was to verify the definition of flexibility derived from
literature and to find characteristics of particular airline groups.
A. Characteristics of Airlines
The particular market sighted by an airline influences the fleet concept. Therefore, it has to be assumed that fleet
composition, route characteristics, flight scheduling and financial aspects differ between those groups depending on
the individual strategic orientation. Not only high demanded connections have to be operated to maximize
profitability but also customers’ demands need to be taken into account to be able to survive against potential
competitors. For instance, business travelers make other requests in terms of seat comfort, seat spacing, possible
cancellations of bookings and menu services than private travelers such as tourists [29]. The most important
characteristics are summarized in Table 2.
1. National Carriers
States often hold shares in native airlines not only to support the enterprise financially but also to guarantee a
minimum of influence in local mobility [29]. Furthermore, by sharing interests in national carriers – also known as
flag carriers – national independence and technical performance are demonstrated towards other countries [43].
Nevertheless, privatizations have been going on for years due to intensified efforts in strengthening economic
intentions [11]. National carriers serve primary and secondary airports as well as international destinations to ensure
an adequate mobility abroad. The provided route network therefore is planned after the hub-and-spoke-principle:
While (international) long-haul flights are operated between centrally located airports, smaller regional airports are
connected through coordinated feeder flights [37]. As a consequence, different types of aircraft have to be operated
on short-, medium- and long-haul routes to meet customers’ requirements. This is, especially heterogeneous fleets
provide benefits.
2. Regional Carriers
The objective of regional carriers is to provide feeder service between smaller, mostly regional and bigger
international airports [32]. For this purpose, smaller aircraft with a passenger capacity up to 100 seats are operated.
5
Additional point-to-point connections are offered on routes between regional airports when current passenger
volume is not sufficient for operating larger aircraft [23]. It has to be mentioned that regional airports in particular
provide comparatively short runways so that only smaller aircraft are technically permitted to land and take-off [12].
Due to short flight duration, regional carriers only offer one single passenger class, in rare cases even a class
providing more services meant for business travelers [9]. The diversity of routes is limited to a certain extent [15].
3. Low Cost Carriers
Low cost carriers pursue a strategy that especially focusses on cost-conscious passengers: Avoiding costs in
terms of giving up inclusive services such as meals and beverages on board or access to lounges at airports,
passengers can be attracted by reasonable ticket prices [19]. After all, most passengers are tourists who are willing to
swap comfort and legroom with opportunities to save costs. Besides, almost only point-to-point connections
characterized by a high passenger volume and cost-effective airports are taken into account when planning flight
operations. Turn-around-processes are supposed to happen as fast as possible to reduce ground operation expenses.
Most low cost carriers operate homogeneous fleets to benefit from communality advantages [17].
Characteristics
National
Carrier
Regional
Carrier
Low Cost
Carrier
✔
✔
✔
✔
✔
✔
(✔)
✔
(✔)
✔
✔
(✔)
✔
✔
✔
✔
✔
✔
✔
✔
✔
✔
Primary Airports
Secondary Airports
International Destinations
Long-Haul Flights
Medium-Haul Flights
Short-Haul Flights
Homogeneous Fleet
Heterogeneous Fleet
Homogeneous Routes
Heterogeneous Routes
Hub & Spoke
Point-to-Point
Single Seat Layout
Multiple Seat Layout
✔
✔
✔
✔
✔
Table 2: Comparison of operator’s characteristics
B. Introduction to Survey
The survey was sent in August 2014 to operating airlines worldwide and comprised questions referring to both
current as well as future fleet strategies. Thus, the relevance of operational flexibility was supposed to find out from
the airlines’ point of view. The focus on subjects and the number of all questions are summarized in Table 3. First of
all, general information about the particular firm and its route network was requested to group all participants on the
basis of its principle market orientation. Further questions were related to current fleet structures. By also giving
information about desired aircraft features, a comparison with future and present fleets is possible and relevant
aircraft characteristics that have to be considered in the design process can be identified. Finally, participating
operators were asked after their opinion on the importance of listed flexibility parameters and operational flexibility
as decision criterion in general.
Focus on Subjects
Number of Questions
Classification of Airlines
Location of Headquarters and Operations
Current Fleet Composition
Desired Characteristics of Future Aircrafts
Assessment of Relevance of Flexibility Parameters
Evaluation of Decision Criteria during Purchase
Table 3: Overview of topic and number of questions
6
2
2
4
7
2
1
Until the closing date 30 airlines from all
100%
over the world participated in completing the
survey and sent their answers back to the
80%
67%
author. Expressed in passenger kilometers that
have been flown worldwide in 2012, more than
60%
10% have been operated by these participating
airlines. The majority (67%) belong to the group
40%
of national carriers followed by regional (20%)
20%
and low cost carriers (13%). At least 10% of the
20%
13%
10%
10%
7%
answers were submitted by both charter and
network carriers. Other operators such as
0%
logistics service provider or leasing companies
National Regional Low Cost Charter Network Others
Carrier Carrier Carrier Carrier Carrier
come to 7% and represent the smallest group of
all participants. In order to give an overview of
Figure 5: Overview of participating airlines
the distribution the results are plotted in Figure 5.
As summarized in Table 4 almost two-thirds (62%) of participating airlines come from Europe and are
represented the most. Whereas 10% of headquarters are located in both South America as well as in Africa, 7% of
all participants come from each Asia and South East Pacific (Oceania). Only 4% of North American airlines sent
back their completed surveys on time so that their answers were taken into account and contributed to the overall
results. However, referring to the actual flight operations some deviations were noticed. Whereas more than fourfifths of participating airlines operate on European continent, only 24% of them consider destination in Oceania.
Almost half of them (48%) operate in North America respectively Asia and one third (34%) in South America. At
least 41% said that operations in Africa would take place.
Europe
62%
83%
Home Base
Route Network
North
America
4%
48%
South
America
10%
34%
Asia
Africa
Oceania
7%
48%
10%
41%
7%
24%
Table 4: Overview of home base and route network of participating airlines
C. Evaluation of Survey
The most important responses have been analyzed to figure out similarities and typical pattern depending on
particular market orientation. Since there have not been enough answers given by all participating groups, the focus
is put on the three biggest airline groups (national carriers, regional carriers and low cost carriers) that also show
significant differences in terms of chosen marketing strategies.
1. National Carriers
Nine out of ten participants operate both short range as well as medium range aircraft. Furthermore, almost two
thirds (62%) mentioned that long range aircraft are also part of the particular fleet6. These observations generally
match with typical characteristics covering a broad market segment that have been found before (see Section III.A).
In accordance with heterogeneous fleets, the maximum range spreads between 1,550 km and 15,700 km whereas the
average range reaches from 4,440 km up to 10,490 km (see Figure 6 and Figure 7).
min
1
1,15
2
3
4
max
5
4,44
6
7
8
9
min
1
10 11 12 13 14 15 16 17
10,50
2
3
4
5
6
7
8
9
3,70
max
10 11 12 13 14 15 16 17
10,49
15,70
Figure 6: Ranges of current fleets of national carriers showing the shortest range (left) and longest range (right) in 1,000 km
6
Classification of aircraft types:
short range (< 1,500 km); medium range (1,500 km – 3,500 km); long range (> 3,500 km)
7
However, when asking after possible mission ranges of future aircraft, most participants focus on shorter ranges for
short-haul, medium-haul as well as long-haul flights and, hence, the corresponding distribution reveals smaller
values. It has to be assumed that airlines therefore focus more on shorter connections since the fuel efficiency on
long-haul flights generally gets worse [35]. Nonetheless, customers usually prefer nonstop flights to destinations
worldwide and for this reason offering long distance flights still has priority for many national carriers.
Referring to the passenger capacity of each aircraft type, no consistency can be detected. However, the actual
results for medium range aircraft differ significantly from expected values and nearly correspond with the ones from
long range aircraft types. Due to high passenger volume especially in Asia local airlines often operate large aircraft
– even on short routes – to provide sufficient capacity. According to the answers national carriers operate aircraft
with seating capacity between 40 and 471 passenger seats. An overview of the capacity distribution for all three
aircraft types is illustrated in Figure 7.
min
0
100
48
200
300
400
500
0
100
70
285
92
(a) short range (smallest aircraft type)
min
0
100
127
40
400
500
0
220
0
100
200
140
228
100
88
max
300
400
500
285
max
200
300
188
min
400
300
400
500
300
(d) medium range (largest aircraft type)
(c) medium range (smallest aircraft type)
min
200
144
min
300
max
(b) short range (largest aircraft type)
max
200
min
max
500
0
300
100
200
190
300
max
400
289
500
471
(e) long range (smallest aircraft type)
(f) long range (largest aircraft type)
Figure 7: Passenger capacity of current fleet of national carriers
In Table 5 the average number of passenger seats for each aircraft type is calculated from the results before.
While the seating capacity for both short range as well as medium range aircraft matches expected dimensions, long
range aircraft only provide a comparatively small number of seats. Since two or even three passenger classes7 are
installed into most twin-aisle aircraft types certain space gets lost for additional partition walls and galleys and, thus,
cannot be used for passenger seats. The respective average passenger capacity for each aircraft type generally
matches the actual number of seats. Nevertheless, national carriers focus on those aircraft types that fit fewer seats
such as Airbus A350 and Boeing 787 instead of Airbus A340 or Boeing 747. More than one third of all participants
(35 %) expect an increasing passenger and cargo volume within the next few years.
Route Type
Ø Passenger Capacity (PAX)
Planned Passenger Capacity (PAX)
118
157
258
100-150
150-200
200-300
Short Range
Medium Range
Long Range
Table 5: Comparison of current and planned passenger capacity of national carriers
National carriers give the most significance to direct operating costs (100 %) when evaluating individual decision
criteria while purchasing new aircraft. Since the aviation industry is characterized by a generally small return on
investment due to strong competition this result is not quite unexpected. Operational flexibility therefore is rated as
7
First Class, Business Class, Economy Class
8
the second most important feature of an aircraft because 65 % of all participants awarded two points to this attribute.
Finally, environmental aspects such as emissions and noise exposure seem to be less relevant on account of high
expenses that are related to technical modifications (see Table 6). Moreover, specifications such as payload capacity
(passengers and cargo) and range are considered as the most essential flexibility parameters followed by
communality and meeting an airport’s requirements due to operating heterogeneous fleets.
n
5
4
3
2
1
Operating Costs
20
100%
Flexibility
20
5%
30%
35%
25%
CO2 -Emissions
20
45%
30%
20%
5%
Noise
20
15%
25%
45%
10%
5%
Air Pollution (NOx )
20
20%
10%
65%
5%
5%
Table 6: Evaluation of decision criteria during purchase process from national carriers’ point of view
2. Regional Carriers
In accordance with typical characteristics, providing short-haul as well as medium-haul flights in particular, all
participating regional carriers (100 %) state that short range aircraft types are part of their fleets. Apart from this,
more than four fifths (83 %) operate medium range and at least one third (33 %) also long range aircraft. This is
certainly the case when Asian airlines need to fall back on large aircraft to be able to serve current passenger
volume. In addition to that, several participants categorize themselves as national and regional carriers so as to
twin-aisle aircraft are operated as well.
The average range extends from 3,600 km up to 7,100 km. Only a small distribution is noticeable which indicates
a compliant business alignment. Due to the operation of large aircraft by certain airlines comparatively long
distances also can be flown (11,000 km) even though these values are more an exception. The overall distribution for
current ranges is illustrated in Figure 8. Future design range is supposed to be limited to a certain extent according to
the results when potential fuel consumption can be reduced in return.
min
1
2
3
4
max
5
2,60 3,60
6
7
min
8
9
1
10 11 12 13 14 15 16 17
2
3
4
3,70
6,85
5
6
7
7,10
max
8
9
10 11 12 13 14 15 16 17
11,00
Figure 8: Ranges of current fleets of regional carriers showing the shortest range (left) and longest range (right) in 1,000 km
The distribution of passenger capacity matches the previous results as primarily short-haul aircraft are operated
by regional carriers. Hence, less than 100 seats are installed on average into those aircraft types. However, large
aircraft that are meant for long-haul flights only fit 185 seats on average which even present medium range aircraft
types usually can cope with8. When asking after future passenger capacity respectively number of seats for each
aircraft type, all participants agree on keeping up the current design so as to no additional seats are required. Thus,
up to 100 seats are considered for short range and up to 200 seats for long range aircraft types. Medium range
Route Type
Short Range
Medium Range
Long Range
Ø Passenger Capacity (PAX)
Planned Passenger Capacity (PAX)
97
129
185
50-100
100-150
150-200
Table 7: Comparison of current and planned passenger capacity of regional carriers
8
For example, both Airbus A321 as well as Boeing 737-800 fit up to 180 passengers [17] [30].
9
aircraft types are supposed to provide a number between those numbers. An overview of the average values is given
in Table 7. The distribution of passenger capacity for each aircraft type generally spreads slightly around the
prevailing average value as can be recognized in Figure 9.
min
0
25
50
75
0
100 125 150 175 200 225 250 275 300
50 68
25
50
0
25
50
75
100 125 150 175 200 225 250 275 300
125 140
(b) short range (largest aircraft type)
max
min
100 125 150 175 200 225 250 275 300
106
50
75
50
132
(a) short range (smallest aircraft type)
min
max
min
max
0
25
50
75
140
100 125 150 175 200 225 250 275 300
(c) medium range (largest aircraft type)
min max
25
50
75
200
152
88
(d) medium range (smallest aircraft type)
0
max
min
0
100 125 150 175 200 225 250 275 300
25
50
75
max
100 125 150 175 200 225 250 275 300
140 160
150
190
(f) long range (smallest aircraft type)
220
280
(e) long range (largest aircraft type)
Figure 9: Passenger capacity of current fleet of regional carriers
Regional carriers assess direct operation costs as the most relevant criterion in terms of purchasing new aircraft
and, hence, agree with national carriers. Furthermore, two thirds of participating regional carriers hold the opinion
that operational flexibility provides economic advantages by means of cost savings. Factors such as payload and
passenger capacity, range as well as benefits from communality are considered as essential aircraft requirements
followed by meeting an airport’s requirements. Operational flexibility consequently is rated as the second most
significant criterion. However, environmental aspects – especially air pollution – are less relevant when considering
new aircrafts.
n
Operating Costs
6
Flexibility
6
CO2 -Emissions
6
Noise
6
Air Pollution (NOx )
6
5
4
3
2
1
100%
17%
67%
17%
67%
17%
17%
33%
17%
17%
50%
33%
17%
17%
17%
Table 8: Evaluation of decision criteria during purchase process from regional carriers’ point of view
3. Low Cost Carriers
As mentioned before, low cost carriers mainly concentrate on connections with high passenger volume and
price-conscious passengers. Cost advantages achieved by renunciation of additional services such as cabin
equipment9, included meals or seat reservations can be passed on in the form of cheap flight tickets. The main focus
9
e.g. Inflight-Entertainment-Systems (IFE)
10
therefore is put on the actual transport capacity. All participants (100%) operate both short range as well as medium
range aircraft types which correspond with characteristics that have been derived before. However, since more and
more low cost carriers even include long-distance destinations in their flight plan, appropriate aircraft models have
to be considered [4]. For this reason half of participating low cost carriers (50%) also operate long range aircraft.
Concerning the range distribution no significant spread can be identified since average values from 4,860 km up to
6,290 km match expected dimensions (see Figure 10). Hence, it has to be assumed that their respective business
concepts resemble a lot trying to gain more share of the market.
min
1
2
3
4
3,00
max
5
6
7
8
9
10 11 12 13 14 15 16 17
1
2
8,15
4,86
max
min
3
4
5
6
7
8
9
10 11 12 13 14 15 16 17
4,63 6,29 7,40
Figure 10: Ranges of current fleets of low cost carriers showing the shortest range (left) and longest range (right) in 1,000 km
The current available passenger capacity of aircraft operated by low cost carriers shows a remarkable low
deviance. Moreover, the results of all three aircraft types have a tendency to quite a consistent capacity that roughly
is equal to the overall capacity of common medium range aircraft. The calculated average number of seats for short
range and long range aircraft types only differ by 10 seats which confirm previous findings. Therefore, the
operator’s intention of diversification towards competitors can be denied. When asking after future seating and
cargo capacities low cost carriers mostly stick to the current design so as to the prevailing average number of seats
exactly matches the given results that are summarized in Table 9.
min
0
20
40
60
80
100
120
140
130
90
min max
max
160
180
0
200
20
0
20
40
60
80
120
100
120
140
140
160
min
160
180
0
200
20
40
60
80
100
120
140
160
189
40
60
80
100
120
140
160
182
min max
180
200
0
20
40
60
80
100
120
140
160
180
200
180 189
185
(f) long range (smallest aircraft type)
(e) long range (largest aircraft type)
Figure 9: Passenger capacity of current fleet of low cost carriers
Short Range
Medium Range
Long Range
200
189
(c) medium range (largest aircraft type)
144 156
150
Route Type
200
189
max
180
170
min max
20
180
max
(d) medium range (smallest aircraft type)
0
180
(b) short range (largest aircraft type)
145
90
80
156
100
60
170
(a) short range (smallest aircraft type)
min
40
Ø Passenger Capacity (PAX)
Planned Passenger Capacity (PAX)
155
164
165
100-150
150-200
150-200
Table 9: Comparison of current and planned passenger capacity of low cost carriers
11
Finally, participating low cost carriers were asked to evaluate specified decision criteria that are crucial when
purchasing new aircraft. Since the main emphasis is put on avoiding expenditures of all kinds, direct operating costs
are rated as the most significant factor followed by operational flexibility. Corresponding to other airline groups low
cost carriers also graded passenger respectively cargo capacity as the most important aspect. After all, the overall
load factor of each flight has to be optimized in order to maximize an airline’s profitability. Communality in terms
of operating homogenous fleets generally also counts to relevant flexibility parameters. However, configurational
features of an aircraft’s cabin are considered as less important since low cost carriers rarely modify cabins dependent
on current passenger and cargo volume. From the participants’ point of view further decision criteria such as
possibilities to minimize the climate impact are appraised as the least decisive characteristic features. Low carbon
dioxide emissions (CO2) are considered as more significant as other air pollution which probably can be affiliated
with higher operating costs. The complete distribution is plotted in Table 10.
n
5
4
Operating Costs
4
Flexibility
4
CO2-Emissions
4
50%
50%
Noise
4
50%
25%
Air Pollution (NOx)
4
3
2
1
100%
25%
75%
25%
100%
Table 10: Evaluation of decision criteria during purchase process from low cost carriers’ point of view
IV. Studies on Flexibility
As shown before in Section III. operational flexibility generally is considered as one absolutely significant
criterion when it comes to evaluating aircraft models. Depending on flexibility characteristics an aircraft can
contribute to reducing operating costs and, hence, is more profitable from an airline’s point of view. However,
flexible properties are hardly to measure compared to other parameters such as direct operating costs which makes it
more difficult to compare two different aircraft types. A reliable model consequently has to be established that
allows the assessment of an aircraft’s flexibility during the aircraft design process by running parameter studies
depending on an airline’s characteristics.
A. Flexibility Model
Such a model has been created by the Institute of Aerospace Systems in order to facilitate the quantification of
an aircraft’s inherent flexibility by assigning a so called flexibility indicator to each aircraft. For this purpose, several
characteristic values for each flexibility parameter, separated by each airline group, need to be extracted from real
flight operations and additional technical information. Suitable data has been taken from RITA database that
provides satisfactory data for specifications such as flown aircraft types, passenger load factor, payload and
information about used airports for each origin-destination combination on the US-American market [18]. It has to
be noted that data validity is assumed for other air traffic markets like Europe and Asia as well. However, finding
sufficient flight operations data was not possible for all flexibility parameters presented in Section II. Therefore,
only following flexibility parameters form the basis of the model to calculate the overall flexibility indicator:
Aircraft type rating and standardization
Suitability of airports
Cruising speed
Payload capacity
Passenger capacity
Range
By analyzing flight operations data certain patterns and individual characteristics are supposed to be identified for
each airline group. The flexibility model thus is predicated upon statistics and related correlation.
12
Number of Runways
60
National Carrier
50
Regional Carrier
40
Low Cost Carrier
30
20
10
0
1000
1500
2000
2500
3000
3500
Length of Runway [m]
4000
4500
5000
Figure 10: Frequency distribution of runway length for all airlines groups
100%
Accumulated Frequency
At first, a frequency distribution
has to be derived for each
characteristic value on the basis
of flight operations data. An
exemplary distribution for all
three airline groups is illustrated
in Figure 10 showing the
different lengths of runways as
part of the flexibility parameter
“suitability of airports”. Hence,
the number of events can be
identified quite easily and a first
impression
of
the
main
emphasis of the distribution is
facilitated. Accumulating the
particular
frequencies
(see
Figure 11) helps to find out the
individual gradation which
serves as the prerequisite for
deriving the actual flexibility
curve expressed through a
mathematically function. For
this purpose, the accumulation
must be reversed and, if wanted,
smoothed out slightly which is
plotted in Figure 12. The curve,
illustrated for each airline group
allocates a flexibility value
between 0 (no flexibility) and
10 (total flexibility) to every
related aircraft property. In
order to determine the overall
80%
60%
40%
National Carrier
20%
Regional Carrier
0%
1000
Low Cost Carrier
1500
2000
2500
3000
3500
Length of Runway [m]
4000
4500
5000
Figure 11: Accumulated frequency distribution of runway length
Flexibility Vaue
flexibility
indicator,
all
10
flexibility values that have been
National Carrier
calculated before, must be
Regional Carrier
8
summed
up
considering
Low Cost Carrier
weighting factors. Those can be
6
chosen individually by the
model’s user for each airline
4
group. For further investigations
the weighting factors already
2
have been preset by the author
by means of previous findings
0
(see Section III.A). For instance,
500
1000
1500
2000
2500
3000
3500
4000
4500
from a regional airline’s point of
Length of Runway [m]
view, an Airbus A320-200 gets
approximately 8.5 points since
Figure 12: Flexibility curve for characteristic value “runway length”
the typical take-off field length
is about 1,960 m. In contrast to
that, national carriers award 9.9 points, low cost carriers about 9.2 points. Once all flexibility values are calculated
for every aircraft characteristic, all six flexibility parameters need to be determined and finally the overall flexibility
indicator can be found. Furthermore, the model has been implemented into the design methodology MICADO to run
parametric studies (see Section IV.B).
13
B. Design Environment MICADO
Further parameter studies have been carried out using
MICADO (Multidisciplinary Integrated Conceptual
Aircraft Design Optimization), a design methodology for
multi-disciplinary preliminary aircraft design that has been
developed by the Institute of Aerospace Systems.
Providing a small set of TLARs and further design
specifications an optimized aircraft design can be
generated while only limited processing power is required.
The integrated sizing approach grants the consideration of
design changes or innovative technologies which might
lead to a full resizing of the whole aircraft design. Thus,
the modular concept allows running parametric studies
and assessing particular aircraft designs [16][21].
Based on specified aircraft requirements an initial
sizing of the aircraft is derived comprising the prediction
of aerodynamic characteristics, estimation of aircraft
components and system masses followed by a detailed
mission analysis. Afterwards, aircraft mass, derived flight
conditions as well as drag polar and engine performance
serve as the foundation for calculating the specific fuel
consumption depending on the defined design mission. All
sizing tools are iteratively re-executed until convergence
in significant parameters, e.g. maximum take-off weight
and block fuel, is achieved and further design
specifications such as wing loading and thrust-to-weight
ratio remain consistent. Finally, each aircraft design will
be assessed and, if necessary, optimized towards economic
and ecological factors, especially concerning operating
Figure 13: MICADO process chain
costs, emissions, aircraft noise and block fuel. The whole
design synthesis is illustrated in Figure 13 [16] [26].
In order to run parametric studies a reference aircraft has been designed that is supposed to operate on short-haul
and medium-haul routes. The aircraft is a common single-aisle model with two V2527-A5 engines that mainly
resembles an Airbus A320-200 comparing technical and design specifications (see Figure 14). The most essential
design specifications are listed in Table 11. As daily flight operations frequently differ from the specified design
mission an additional study mission has been defined: Parameters such as payload capacity (passengers and cargo)
and flight distance in particular deviate the most referred to findings that have been initially presented in Section I.
Therefore, both values have been reduced drastically to simulate realistic flight operation conditions (see Table 11).
Characteristics
Maximum Take-Off Weight
Operating Empty Weight
Payload
Wing Loading
Thrust-to-Weight Ratio
Take-Off Field Length
Landing Distance
Passenger Capacity
Payload (Design Mission)
Range (Design Mission)
Payload (Study Mission)
Range (Study Mission)
Value
Unit
76,988
42,098
20,000
629.085
0.3122
2,200
1,850
150
17,000
2,500
13,600
500
kg
kg
kg
kg/m²
m
m
kg
NM
kg
NM
Table 11: Design specification of reference aircraft
Figure 14: Illustration of reference aircraft
14
C. Studies on Operational Flexibility
Sensitivities of the aircraft design are investigated by running several parametric studies in which particular
focus is put on the aircraft’s flexibility. Therefore, following requirements were successively altered individually for
each airline group while further TLARs were maintained at a constant level:
Design Payload
Design Range
The value of each flexibility parameter is varied gradually within an appropriate design space beginning with the
current reference value that has been specified throughout the aircraft design process. However, for each variation a
re-design has to be made while both ratios wing-loading as well as thrust-to-weight remain unchanged in order to
ensure comparable aircraft designs. Besides the actual study results that will be plotted for each airline group further
results of following parameters are investigated additionally:
Maximum Take-Off Weight
Wing Area
Block Fuel
Direct Operating Costs
CO2-Emissions
The outcome of each parameter variation is expressed as a percentage of the reference case so that possible changes
can be spotted and evaluated. Monetary values are given in 2010 US-Dollars per flight hour.
1. Payload Capacity
The design payload capacity (17,000 kg) of the reference aircraft is increased respectively decreased by at most
2,000 kg (+/-) in order to investigate the influence on an aircraft’s flexibility. For this purpose, a step size of 100 kg
has been chosen which results in 20 steps each up and down. It has to be noticed that the number of passengers
(150 PAX) remains constant to focus only on the alteration of cargo weights. Thus, an alteration of the payload
capacity influences the overall flexibility indicator for all three airline groups since the flexibility values of both
parameters range as well as length of runway are changing significantly. The corresponding findings are plotted in
Figure 15.
In case of increasing the payload capacity by 2.5 % an overall flexibility growth of approximately 15 %, which is
the largest of all, can be identified for low cost carriers. Contrary to this, for national carriers only 7.5 % and for
regional carriers 11.5 % increased flexibility is noticeable. In fact, these results mainly depend on weighting factors
chosen by the author when calculating the particular flexibility indicator for each airline group. The results therefore
vary in case of weighting differently.
The rise in flexibility regarding the range of the reference aircraft is influenced by the distribution of flexibility
values. Compared to regional and national carriers, low cost carriers even assess shorter ranges as more important as
many offered routes also cover shorter distances. This is, since most of the altered payload capacity affects longer
ranges no real deviation is perceptible. Furthermore, the flexibility distribution of regional carriers flattens more than
the corresponding distribution of national carriers. Increasing the payload capacity by 11.25 % consequently leads to
a larger wing area (4.2 %) and therefore to a bigger wing tank (7.38 %). When more fuel can be filled up into the
aircraft the range again increases by 5.022 %. The reason for this effect is the constant ratio of aircraft mass and
wing area which requires an increasing wing area when the payload capacity is increased. On the other hand, larger
wing area implies a bigger wing tank which finally increases the particular range and, hence, the flexibility value.
Apart from influencing the wing area the variation of the payload capacity also have significant effects on maximum
take-off weight, specific fuel consumption as well as emissions of carbon dioxide and direct operating costs. Due to
higher aircraft masses the required thrust needs to be increased which ends in higher fuel consumption and
emissions. For instance, increasing the payload capacity by 11.25 % higher specific fuel consumption (1.8 %) is
induced which causes higher fuel CO2-emissions (1.4 %) as well as direct operating costs (2.1 %) [13].
Payload Capacity
15,400 kg
16,400 kg
17,000 kg
17,400 kg
18,400 kg
Wing Tank
Wing Area
MTOW
Block Fuel
DOC/Flight
9,607 kg
9,989 kg
10,223 kg
10,387 kg
10,778 kg
117,46 m²
120,12 m²
121,85 m²
122,99 m²
125,72 m²
73,905 kg
75,617 kg
76,652 kg
77,358 kg
79,082 kg
3,629.74 kg
3,665.78 kg
3,686.80 kg
3,701.22 kg
3,738.20 kg
10,601.20 $/flight
10,711.82 $/flight
10,778.03 $/flight
10,823.05 $/flight
10,936.60 $/flight
Table 12: Influences on aircraft specifications by altering design payload capacity
15
∆ Flexibility, %
∆ Flexibility, %
For both regional as well as low cost carriers a slight rise in flexibility in terms of the take-off field length can be
identified. However, since both alterations are quite low an inaccuracy of the model is assumed.
∆Payload, %
∆Payload, %
(b) Regional Carrier
∆ Results, %
∆ Flexibility, %
(a) National Carrier
∆Payload, %
∆Payload, %
(d) Aircraft Parameter
(c) Low Cost Carrier
Figure 15: Influence on overall flexibility by altering payload capacity of the reference aircraft
2. Range
As daily flight operations in respect of payload and range frequently differ from the defined design mission,
influences on the overall flexibility indicator by altering the range are investigated. Starting from the reference value
of 2,500 NM the range gradually is increased (+2,500 NM) respectively decreased (-2,000 NM) providing a step size
of 100 NM. Further specifications and requirements again are kept unchanged.
In order to achieve longer ranges bigger airfoils with larger tanks are required amongst other requirements. For
example, in case of increasing the range by 15 % the wing area enlarges by 4.25 %. The larger and therefore heavier
airfoils as well as the additional fuel require enhanced wing boxes. Because of the resulting snowball effect, further
reinforcements have to be taken into account and the maximum take-off weight increases by 4.25 %. The higher fuel
consumption (1.7 %) has negative effects on CO2-emissions since these rises by 1.25 % and, after all, the direct
operating costs increase by 2.08 %.
Furthermore, the variation of the design range influences the flexibility value of the reference aircraft referring to
its range and the required take-off field length. Low cost carriers in particular assess short ranges as comparatively
important. The alteration of the design range therefore does not affect the calculation of the flexibility value since
the maximum number of points is already allocated accordingly. In contrast, national carriers include long-haul
flights and assign higher flexibility values to longer ranges. For this reason, in case of increasing the range by 15 %
the flexibility rises by 6.04 %; if the range is decreased by also 15 % the flexibility decreases by even 10.42 %. For
regional carriers both the gains as well as the loss of flexibility seem to be quite similar to the results of national
carriers even though particular values differ slightly. Nonetheless, it has to be assumed that the design range as one
of the specified TLAR generally seems to be an important attribute for airlines.
16
∆ Flexibility, %
∆ Flexibility, %
The overall flexibility indicator differs for each airline group due to different weighting factors. For instance,
rising the design range by 15 % the overall flexibility increases by 2.08 % for national carriers and only by 0.41 %
for regional carriers. The results of the parametric study are illustrated in Figure 16.
∆ Range, %
∆ Range, %
(b) Regional Carrier
∆ Results, %
∆ Flexibility, %
(a) National Carrier
∆ Range, %
∆ Range, %
(d) Aircraft Parameter
(c) Low Cost Carrier
Figure 16: Influence on overall flexibility by altering range of the reference aircraft
V. Conclusion and Outlook
Comparing actual flight data with design specifications it can be stated that a large part of all operations differ
from the defined design mission in terms of flown ranges and carried payload. Thus, it has to be assumed that most
aircraft are sort of oversized for daily operations. However, when operating an aircraft that deviates from its design
point – the defined payload-range-combination – higher specific fuel consumption, emissions of carbon-dioxide and
after all increased operating costs have to be expected. The scope of this paper therefore was to investigate particular
characteristics of several airline groups as well as their individual behavior referring to aircraft operations.
Influences of certain design parameters on operational flexibility and further consequences such as operating costs
were supposed to be found.
Flexibility is defined as the aircraft’s adaptability towards current and changing requirements. In contrast to
established and well-known evaluation criteria such as direct operating costs (DOC) there is no adequate method to
measure flexibility appropriately which makes quantifying flexible features of an aircraft quite difficult. For this
reason, certain design parameters that have a significant influence on an aircraft’s flexibility were defined. Besides
essential top-level aircraft requirements such as range, payload, cruising altitude as well as cruising speed further
characteristics as communality of components and possible reconfiguration of cabin and cargo departments
influence the overall flexibility.
A flexibility survey has been created and was sent to airlines worldwide in order to discover certain operational
characteristics. National carriers mainly cover broad market segments so as to different aircraft types have to be
17
operated in heterogeneous fleets. Regional and low cost carriers focus more on specific markets characterized by
shorter distances and one single type of passengers. Thus, usually one certain aircraft type, primary short- and
medium-haul aircraft, is operated in homogeneous fleets. On basis of these findings a flexibility model has been
established that allows the evaluation of an aircraft’s inherent flexibility. A mathematical function that assigns a
value between 0 (no flexibility) and 10 (total flexibility) to each flexibility parameter has been derived from the
RITA research database. The overall flexibility indicator finally can be determined by aggregating calculated values.
In order to analyze the interaction of design parameters in terms of operational flexibility the model has been
implemented into the multi-disciplinary design environment MICADO. The variation of fundamental aircraft design
parameters has a significant influence on an aircraft’s flexibility. Possible effects on flexibility, fuel consumption,
CO2-emissions and operating costs have been investigated by altering individual parameters such as payload
capacity and range. Therefore, a reference aircraft has been designed that allows the performance of appropriate
parametric studies. In fact, the increase of both the design payload capacity as well as design range results in higher
flexibility which is, however, accompanied by higher fuel consumption, CO 2-emissions and operating costs. On the
other hand, costs savings can be achieved through reducing both parameters. More specifically, both effects interact
with each other and, thus, a compromise has to be found when designing aircraft.
For future research, further improvements of the flexibility model have to be made by involving more operators
in the design process. In particular, specified parameters that influence the overall flexibility must be identified as
early as possible and a quantified value must be well-considered towards increasing operating costs.
VI. Acknowledgements
In loving memory of my mother who recently lost her fight and who I would like to express my special thanks
to. Thanks for always taking care of me and for making me the person who I am today. You will never be forgotten.
References
[1] Bisignani, G., “A global approach to reducing aviation emissions”, International Air Transport Association
(IATA), Switzerland, Nov. 2009.
[2] “A Vision for 2020 - Meeting Society’s Needs and Winning Global Leadership”, European Aeronautics, Office
for Official Publications of the European Communities, Luxembourg, 1st ed., Jan. 2001.
[3] Clark, P., “Buying the Big JETS. Feet Planning for airlines”, Farnham, 2007
[4] “Flightpath 2050 - Europe’s Vision for Aviation”, European Aeronautics, Office for Official Publications of
the European Communities, Luxembourg, 2011.
[5] “Report of the Committee on Aviation Environmental Protection”, Tech. Rep. Doc 9938, International Civil
Aviation Organization (ICAO), Montreal/Canada, Feb. 2010.
[6] Gillen, D., “Measuring the Benefits and Costs of Alternative Noise Management Strategies”, Aviation and
Management, Frankfurt, 2000
[7] Golden, W., Powell, P., “Towards a definition of flexibility. In a search of the Holy Grail?” Omega. The
International Journal of Management Science, Galway, 2000
[8] Holdren, J. P., “National Aeronautics Research and Development Plan”, National Science and Technology
Council, Washington D.C. 20502, Feb. 2010.
[9] Boling, B. K., “The Development of a Global Air Transporation System Model for the Prediction of Policy and
Efficiency Measures in Civil Aviation, Theodore von Kármán Fellowship, RWTH Aachen University, 2014
[10] Warwick, G., “Time for Change,” Aviation Week & Space Technology, Vol. 173, No. 26, Aug. 2011,
pp. 50–52.
[11] Norris, G., “Smooth Operators,” Aviation Week & Space Technology, Vol. 172, No. 35, Sept. 2010,
pp. 61–61.
[12] Ferguson, S., Kemper, L., Weck, A., “Flexible and Reconfigurable Systems: Nomenclature and Review”,
Proceedings of the ASME 2007 International Design Engineering Technical Conferences, Buffalo, 2007
[13] Wall, R. and Warwick, G., “Cleaner Skies,” Aviation Week & Space Technology, Vol. 173, No. 22, June
2011, pp. 70–74.
[14] Armbruster, J., “Flugverkehr und Umwelt. Wie viel Mobilität tut uns gut?“, Berlin, 1996
18
[15] Jupp, J. A., “21st Century Challenges for the Design of Passenger Aircraft”, ICAS 2012 Proceedings, Brisbane,
Australia, 2012.
[16] Lammering, T., “A Methodology for Integration of Innovative Aircraft Systems into Conceptual Design
Synthesis”, Ph.D. Thesis, RWTH Aachen University, Aachen/Germany, May 2014.
[17] “A320 – Airplane Characteristics”, Revision No. 25, Airbus S.A.S, Customer Services, Blagnac Cedex/France,
September 2010.
[18] “T-100 Segment (all carriers)”, American Research and Innovative Technology Administration’s (RITA)
Bureau of Transportation Statistics, database available online.
[19] Boerner-Kleindienst, M., Analyse des Marktes für zivile Großraumflugzeuge im Hinblick auf die Ableitung
von Erfolgsfaktoren für die Flugzeughersteller, Ph.D. Thesis, Vienna, 1995
[20] Doganis, R., “Flying Off Course: airline economics and marketing”, Routledge, New York, NY 10016,
4th ed., 2010.
[21] Franz, K., Lammering, T., Risse, K., Anton, E., and Hoernschemeyer, R., “Economics of Laminar Aircraft
Considering Off-Design Performance”, in 8th AIAA Multidisciplinary Design Optimization Specialist
Conference, Honolulu/HI, 2012.
[22] Patterson, M.D., Pate, D.J., German, B.J., “Performance Flexibility of Reconfigurable Families of Unmanned
Air Vehicles”, Journal f Aircraft, Vol. 49, Atlanta, 2012
[23] Saleh, J.H., Hastings, D.E., Newman, D.J., “Flexibility in system design and implications for aerospace
systems”, Acta Astronautica, Cambridge, 2002
[24] Linke, F., Langhans, S., Gollnick, V., “Global Fuel Analysis of Intermediate Stop Operations on Long-Haul
Routes”, in 11th American Institute of Aeronautics and Astronautics Conference, 2011
[25] Francis, G., Humphreys, I., Ison, S., “Airport’s perspectives on the growth of low-cost airlines and the
remodeling of the airport-airline relationship”, Tourism Management, 2003
[26] Risse, K., Lammering, T., Anton, E., Franz, K., and Hoernschemeyer, R., “An Integrated Environment for
Preliminary Aircraft Design and Optimization,” 8th AIAA Multidisciplinary Design Optimization Specialist
Conference, AIAA, Honolulu, HI, April 2012.
[27] Gössling, S., Upham, P., “Climate Change and Aviation”, Earthscan, 2012
[28] Hanlon, P., “global airlines. Competition in a transnational industry”, Elsevier Butterworth Heinemann, 2007
[29] “Global Market Forecast 2013-2032”, Airbus S.A.S, Blagnac Cedex/France, Oct. 2013.
[30] “Current Market Outlook 2013-2032”, Boeing Commercial Airplanes, Seattle/WA, 2013.
[31] “Alaska Airlines. The Fleet. Boeing 737-400 Combi (73Q)”, Alaska Air Group, 2015
[32] Forbes, S., Lederman, M., “The Role of Regional Airlines in the U.S. Airline Industry”, Advances in Airline
Economics, Vol. 2, Elsevier Butterworth Heinemann, 2007
[33] Vasigh, B., Fleming, K., Tacker, T., “Introduction to Air Transport Economics. From Theory to Applications”,
Ashgate, 2008
19