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Leisure Air is a regional airline that provides service from Pittsburgh, Newark,

ID: 447060 • Letter: L

Question

Leisure Air is a regional airline that provides service from Pittsburgh, Newark, Charlotte, Myrtle Beach and Orlando. Leisure Air has two Boeing 737-400 airplanes, one based in Pittsburgh and the other in Newark. Both airplanes have a coach section with a 132-seat capacity. Each morning the Pittsburgh-based plane flies to Orlando with a stopover in Charlotte, and the Newark-based plane flies to Myrtle Beach, also with a stopover in Charlotte. At the end of the day, both planes return to their home bases.

Leisure Air uses two fare classes: a discount-fare Q class and a full-fare Y class. Reservations using the discount-fare Q class must be made 14 days in advance and must include a Saturday night stay in the destination city. Reservations using the full-fare Y class may be made anytime, with no penalty for changing the reservation at a later date. The itinerary and fare alternatives that Leisure Air can offer to its customers based on both the origin-destination of each flight and the fare classes are synthetize in the following table.

ODIF

Origin

Destination

Fare class

ODIF code

Fare

Demand

1

Pittsburgh

Charlotte

Q

PCQ

$178

33

2

Pittsburgh

Myrtle Beach

Q

PCQ

$268

44

3

Pittsburgh

Orlando

Q

POQ

$228

45

4

Pittsburgh

Charlotte

Y

PCY

$380

16

5

Pittsburgh

Myrtle Beach

Y

PMY

$456

6

6

Pittsburgh

Orlando

Y

POY

$560

11

7

Newark

Charlotte

Q

NCQ

$199

26

8

Newark

Myrtle Beach

Q

NMQ

$249

56

9

Newark

Orlando

Q

NOQ

$349

39

10

Newark

Charlotte

Y

NCY

$385

15

11

Newark

Myrtle Beach

Y

NMY

$444

7

12

Newark

Orlando

Y

NOY

$580

9

13

Charlotte

Myrtle Beach

Q

CMQ

$179

64

14

Charlotte

Myrtle Beach

Y

CMY

$380

8

15

Charlotte

Orlando

Q

COQ

$224

46

16

Charlotte

Orlando

Y

COY

$582

10

Determine how many discount-fare and full-fare seats Leisure Air should make available in their reservation system to maximize its daily total expected revenue from running the two planes.  

ODIF

Origin

Destination

Fare class

ODIF code

Fare

Demand

1

Pittsburgh

Charlotte

Q

PCQ

$178

33

2

Pittsburgh

Myrtle Beach

Q

PCQ

$268

44

3

Pittsburgh

Orlando

Q

POQ

$228

45

4

Pittsburgh

Charlotte

Y

PCY

$380

16

5

Pittsburgh

Myrtle Beach

Y

PMY

$456

6

6

Pittsburgh

Orlando

Y

POY

$560

11

7

Newark

Charlotte

Q

NCQ

$199

26

8

Newark

Myrtle Beach

Q

NMQ

$249

56

9

Newark

Orlando

Q

NOQ

$349

39

10

Newark

Charlotte

Y

NCY

$385

15

11

Newark

Myrtle Beach

Y

NMY

$444

7

12

Newark

Orlando

Y

NOY

$580

9

13

Charlotte

Myrtle Beach

Q

CMQ

$179

64

14

Charlotte

Myrtle Beach

Y

CMY

$380

8

15

Charlotte

Orlando

Q

COQ

$224

46

16

Charlotte

Orlando

Y

COY

$582

10

Explanation / Answer

Answer:

To develop a linear programming model that can be used to determine how many seats Leisure Air should allocate to each fare class, we need to define 16 decision variables, one for each origin-destination-itinerary fare alternative. Using P for Pittsburgh, N for Newark, C for Charlotte, M for Myrtle Beach, and O for Orlando, the decision variables take the following form:

PCQ = number of seats allocated to Pittsburgh–Charlotte Q class
PMQ = number of seats allocated to Pittsburgh–Myrtle Beach Q class
POQ = number of seats allocated to Pittsburgh–Orlando Q class

PCY = number of seats allocated to Pittsburgh–Charlotte Y class

NCQ = number of seats allocated to Newark–Charlotte Q class

COY = number of seats allocated to Charlotte–Orlando Y class

The objective is to maximize total revenue. Using the fares shown in Table, we can write the objective function for the linear programming model as follows:

Max 178PCQ + 268PMQ + 228POQ + 380PCY + 456PMY + 560POY + 199NCQ + 249NMQ + 349NOQ + 385NCY + 444NMY + 580NOY + 179CMQ + 380CMY + 224COQ + 582COY

Next, we must write the constraints. We need two types of constraints: capacity and demand.
We begin with the capacity constraints.
Consider the Pittsburgh–Charlotte flight leg in Figure. The Boeing 737-400 airplane has a 132-seat capacity. Three possible final destinations for passengers on this flight (Charlotte, Myrtle Beach, or Orlando) and two fare classes (Q and Y) provide six ODIF alternatives:

(1) Pittsburgh–Charlotte Q class,

(2) Pittsburgh–Myrtle Beach Q class,
(3) Pittsburgh–Orlando Q class,

(4) Pittsburgh–Charlotte Y class,

(5) Pittsburgh–Myrtle Beach Y class, and

(6) Pittsburgh–Orlando Y class. Thus, the number of seats allocated to

the Pittsburgh–Charlotte flight leg is PCQ PMQ POQ PCY PMY POY. With the capacity of 132 seats, the capacity constraint is as follows:

PCQ + PMQ + POQ + PCY + PMY + POY … 132 Pittsburgh– Charlotte

The capacity constraints for the Newark–Charlotte, Charlotte–Myrtle Beach, and Charlotte– Orlando flight legs are developed in a similar manner. These three constraints are as follows:

NCQ +NMQ +NOQ +NCY +NMY + NOY <= 132


The demand constraints limit the number of seats for each ODIF based on the forecasted demand. Using the demand forecasts in Table 5.3, 16 demand constraints must be added to the model. The first four demand constraints are as follows:
PCQ <= 33
PMQ <= 44
POQ <= 45
PCY <= 16
Pittsburgh – Charlotte Q class
Pittsburgh– Myrtle Beach Q class
Pittsburgh – Orlando Q class
Pittsburgh– Charlotte Y class

The complete linear programming model with 16 decision variables, 4 capacity constraints, and 16 demand constraints is as follows:

Max 178PCQ + 268PMQ + 228POQ + 380PCY + 456PMY + 560POY+ 199NCQ + 249NMQ + 349NOQ + 385NCY + 444NMY + 580NOY + 179CMQ + 380CMY + 224COQ + 582COY

The optimal solution to the Leisure Air revenue management problem is shown. The value of the optimal solution is $103,103. The optimal solution shows that
PCQ 33, PMQ 44, POQ 22, PCY 16, and so on.

Thus, to maximize revenue,
Leisure Air should allocate 33 Q class seats to Pittsburgh–Charlotte, 44 Q class seats to
Pittsburgh–Myrtle Beach, 22 Q class seats to Pittsburgh–Orlando, 16 Y class seats to
Pittsburgh–Charlotte, and so on.

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