A bi-objective dynamic programming approach for airline green fleet planning |
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| Institution: | 1. Department of Civil Engineering, Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Jalan Genting Kelang, Setapak, 53300 Kuala Lumpur, Malaysia;2. Department of Mathematical and Actuarial Sciences, Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Jalan Genting Kelang, Setapak, 53300 Kuala Lumpur, Malaysia;1. Delft University of Technology, Netherlands;2. The Scientific and Technological Research Council of Turkey, Turkey;1. Department of Marine Technology, The Norwegian University of Science and Technology, Trondheim, Norway;2. Department of Industrial Economics and Technology Management, The Norwegian University of Science and Technology, Trondheim, Norway;3. The Norwegian Marine Technology Research Institute (MARINTEK), Trondheim, Norway;1. Faculty of Aeronautics and Astronautics, Department of Aviation Management, Eskisehir Technical University, Iki Eylul Campus, Eskisehir 26555, Turkey;2. Faculty of Engineering, Department of Industrial Engineering, Eskisehir Technical University, Iki Eylul Campus, Eskisehir 26555, Turkey;1. Civil and Environmental Engineering, University of University of Illinois at Urbana-Champaign, United States;2. Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, United States;3. School for Environment and Sustainability, University of Michigan, United States |
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| Abstract: | Ensuring a fleet of green aircraft is a basic step in mitigating aviation pollution issues that are expected to be worsen in the coming years due to rapid air traffic growth. This study proposed a novel methodology in green fleet planning in which both profit and green performance of airline are considered simultaneously and explicitly. To do this, a Green Fleet Index (GFI) is derived as an indicator to quantify the green performance of airline’s fleet. It measures the degree of airline compliance with a standard requirement in terms of emission, noise, and fuel consumption. A bi-objective dynamic programming model is then formulated to find optimal aircraft acquisition (lease or purchase) decision by minimizing GFI and maximizing profit. Several interesting results are obtained: (1) considering environmental issue as secondary objective yields a greener fleet; (2) airline’s profit is affected, but could be recovered from environmental cost savings; (3) increasing load factor is an effective operational improvement strategy to enhance airline’s green performance and raise profit level. It is anticipated that the framework developed in this study could assist airlines to make a smart decision when considering the need to be green. |
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| Keywords: | Fleet planning Emission Noise Fuel efficiency Dynamic programming |
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