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AirLineOptimization

# AirLineOptimization - Air Line Optimization Problem(1...

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Air Line Optimization Problem (1) Objective Maximization Revenue - Cost 594,905 Revene 694,250 Cost 99,345 i - j 1(1-2) 2(2-1) 3(2-3) 4(3-2) 5(2-4) 6(4-2) K=1 (A_EMB-145) 0 0 0 0 0 0 k=2 (A_avroRJ-100) 13,076 13,948 15,088 16,765 21,065 19,402 Constraints 1) Demand Fulfillment Nijk Ak Aircraft Charateristics i - j 1(1-2) 2(2-1) 3(2-3) 4(3-2) 5(2-4) 6(4-2) Ak nk(Seat Capa.) vk(Block Speed) ck(Op. Cost) Uk(Util) Load Factor K=1 (A_EMB-145) 0 0 0 0 0 0 0.00 50 400 1850 13.0 0.8 k=2 (A_avroRJ-100) 5.625 6 4.5 5 7.6 7 2.18 100 425 3800 12.0 0.8 Nijk_Seat Demand, Fare, and Distance i - j 1(1-2) 2(2-1) 3(2-3) 4(3-2) 5(2-4) 6(4-2) Sum i - j 1(1-2) 2(2-1) 3(2-3) 4(3-2) 5(2-4) 6(4-2) K=1 (A_EMB-145) 0 0 0 0 0 0 0 demand (pax/day) 450 600 450 500 760 700 k=2 (A_avroRJ-100) 450 600 450 500 760 700 3460 Fare(\$/seat) 175 175 230 230 200 200 Sum 450 600 450 500 760 700 3460 Distance (nm) 260 260 375 375 310 310 2) Aircraft Availability i - j 1(1-2) 2(2-1) 3(2-3) 4(3-2) 5(2-4) 6(4-2) Sum Total Uk K=1 (A_EMB-145) 0.000 0.000 0.000 0.000 0.000 0.000 0.000 <= 0.00 k=2 (A_avroRJ-100) 3.441 3.671 3.971 4.412 5.544 5.106 26.144 <= 26.14 3) Minimum Frequency Minimum Frequency (Assumed) i - j 1(1-2) 2(2-1) 3(2-3) 4(3-2) 5(2-4) 6(4-2) i - j 1(1-2) 2(2-1) 3(2-3) 4(3-2) 5(2-4) 6(4-2) Sum aircraft 5.625 6 4.5 5 7.6 7 Min(ij) 1 1 1 1 1 1

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Air Line Optimization Problem (2) Objective Maximization Revenue - Cost 597,386 Revene 694,250 Cost 96,864 i - j 1(1-2) 2(2-1) 3(2-3) 4(3-2) 5(2-4) 6(4-2) K=1 (A_EMB-145) 0 0 0 0 1,147 2,868 k=2 (A_avroRJ-100) 10,461 13,948 15,088
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