Problem regarding the forecasting method

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Reference no: EM13960611

AvAir, a regional airline, reported miles flown data as shown in Table 1, below. In January 2002 AvAir added aircraft to its fleet and changed the method of scheduling maintenance.

REVENUE SEAT MILES (000's) AVAILABLE SEAT MILES (000's)

2006 2007 2006 2007 January

10,584

13,330

16,100

18001

February

11,100

13,900

16,040

17940

March

11,500

14,145

16,010

17,932

April

12,050

14,895

15,900

17,920

May

12,550

15,110

15,890

17,898

June

12,910

15,892

16,025

17,863

July

13,180

16,100

15,925

17,810

August

13,100

16,010

15,843

17,765

Sept.

13,106

15,991

15,861

17,722

October

12,900

15,900

15,832

17,660

November

13,001

19,952

15,815

17,625

December

13,050

16,012

15,804

17,540

a. Review the data and suggest area(s) where problems or discrepancies may exist.

b. Which forecasting method, from among those discussed in the text and in class, best predicts revenue seat miles (RSM), and available seat miles (ASM)? Justify your answers.

c. If no additions are made to the AvAir's fleet or practices, when do you predict that AvAir will no longer be able to increase revenues from passengers? Assume that non-revenue passenger miles are 5% of revenue miles.

Reference no: EM13960611

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