Mathematical Problems in Engineering / 2015 / Article / Tab 4

Research Article

Optimization Model and Algorithm Design for Airline Fleet Planning in a Multiairline Competitive Environment

Table 4

Comparisons to the traditional model on related indices.

Airline numberCompetitive modelTraditional model
Operational profit/ten thousand Load factor Spilling rateOperational profit/ten thousandLoad factor Spilling rate
HMLHMLHML

16547.690.900.05−67050.61−72526.87−82963.030.780.590.510.760.720.71
21330.940.590.00−1952.80−5397.65−8850.210.370.300.220.310.020.00
3359.990.610.00−45501.85−49305.16−54436.660.590.510.400.880.780.78
42330.700.760.00−25092.23−36008.55−39799.080.570.290.230.780.610.58
51235.590.820.00−915.41−2212.67−4155.670.550.400.360.570.010.00
65189.770.850.05−1036.96−3936.72−13159.130.720.590.510.480.180.16
70.000.000.00−447.18−447.18−447.180.010.010.010.000.000.00
832.340.660.00−6350.43−6545.28−9329.960.900.750.570.840.640.63
9889.861.000.00−5315.25−6174.76−22315.950.880.850.700.770.420.40
100.000.000.00−50781.93−51437.41−51461.720.770.440.420.980.960.96
110.000.000.00−5462.05−5462.05−5462.051.001.001.000.710.710.71

Note: H and L represent the highest and lowest values in all simulations, respectively. M is the average value of all simulating results.