PENGGUNAAN PENDEKATAN LOGIKA FUZZY DALAM MEMINIMALKAN TOTAL BIAYA AWAK PESAWAT PADA PERUSAHAAN PENERBANGAN X

• Main Author: Chandra, Ferdyanto
• Format: Final Project
• Language: Indonesia
• Subjects: Ilmu alam dan matematika
• Online Access: https://digilib.itb.ac.id/gdl/view/33866
• Institution: Institut Teknologi Bandung

Airlines? pilot expenditures cost the second highest in terms of airlines cost. Thus, minimizing the cost is really necessary. The optimization method is used to resolve the problem, which in this case, optimizing the pilots? schedules are chosen. Good scheduling expected to reduce the need for pilot so the cost can be optimized. The purpose of this research is using optimization method to minimize the aircrew expenditure for one month using the data given. Optimization is accomplished by optimizing the flight pairing and managing the schedules of flight attendants, as well as determining the best flight time restriction which can provide the lowest aircrew cost by using fuzzy logic approach. In flight pairing, each flights is paired one another to optimize the numbers of pilots needed in a month. Moreover, the arrangement of aircrew?s schedules that provides the lowest aircrew cost is regarded as the best timetable. Then, fuzzy logic approach is used to specify the change of constrain that can provide the lowest aircrew cost. Hence, flight pairing optimization generates 228 flight pairings with 771 flight attendantsassigned in a month. Meanwhile, aircrew schedules optimization sets up 40 rotations that cost Rp 6.038.900.000 monthly. Moreover, 89 hours time is concluded as the best flight time restriction which can provide the lowest aircrew cost.