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Economic and Environmental Sustainability for Aircrafts Service Life

Author

Listed:
  • Marcello Fera

    (Department of Engineering, University of Campania “Luigi Vanvitelli”, 81031 Aversa, Italy)

  • Raffaele Abbate

    (Department of Engineering, University of Campania “Luigi Vanvitelli”, 81031 Aversa, Italy)

  • Mario Caterino

    (Department of Engineering, University of Campania “Luigi Vanvitelli”, 81031 Aversa, Italy)

  • Pasquale Manco

    (Department of Engineering, University of Campania “Luigi Vanvitelli”, 81031 Aversa, Italy)

  • Roberto Macchiaroli

    (Department of Engineering, University of Campania “Luigi Vanvitelli”, 81031 Aversa, Italy)

  • Marta Rinaldi

    (Department of Engineering, University of Campania “Luigi Vanvitelli”, 81031 Aversa, Italy)

Abstract

Aircrafts are responsible for a significant environmental impact mainly due to the air pollution caused by their motors. The use of composite materials for their production is a way to significantly reduce the weight of the structures and to maximise the ratio between the payload weight and the gasoline consumption. Moreover, the design phase has to consider the cost of different operations performed during the aircraft service life. During the entire life cycle, one of the main costs is the maintenance one. In the current literature, there is a lack of knowledge of methods for maintenance cost estimation in the aircraft industry; moreover, very few environmental assessment methods have been developed. Thus, the aim of this paper is to define a new method to support the aircraft design process; both the environmental and the economic dimensions have been included with the purpose of assessing the aircraft sustainability during its service life. A green index has been identified mixing the maintenance cost and an environmental parameter with the aim of identifying the greenest solution. A final practical application shows the feasibility and the simple application of the proposed approach.

Suggested Citation

  • Marcello Fera & Raffaele Abbate & Mario Caterino & Pasquale Manco & Roberto Macchiaroli & Marta Rinaldi, 2020. "Economic and Environmental Sustainability for Aircrafts Service Life," Sustainability, MDPI, vol. 12(23), pages 1-17, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:23:p:10120-:d:456047
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    References listed on IDEAS

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    1. Grampella, Mattia & Martini, Gianmaria & Scotti, Davide & Zambon, Giovanni, 2016. "The factors affecting pollution and noise environmental costs of the current aircraft fleet: An econometric analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 310-325.
    2. Shaukat, Syed & Katscher, Mathias & Wu, Cheng-Lung & Delgado, Felipe & Larrain, Homero, 2020. "Aircraft line maintenance scheduling and optimisation," Journal of Air Transport Management, Elsevier, vol. 89(C).
    3. Upham, Paul & Thomas, Callum & Gillingwater, David & Raper, David, 2003. "Environmental capacity and airport operations: current issues and future prospects," Journal of Air Transport Management, Elsevier, vol. 9(3), pages 145-151.
    4. Mariam Ameli & Saeed Mansour & Amir Ahmadi-Javid, 2017. "A sustainable method for optimizing product design with trade-off between life cycle cost and environmental impact," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(6), pages 2443-2456, December.
    5. Lin Lin & Bin Luo & ShiSheng Zhong, 2018. "Multi-objective decision-making model based on CBM for an aircraft fleet with reliability constraint," International Journal of Production Research, Taylor & Francis Journals, vol. 56(14), pages 4831-4848, July.
    6. Amin Afshar & Miguel Mariño & Motahareh Saadatpour & Abbas Afshar, 2011. "Fuzzy TOPSIS Multi-Criteria Decision Analysis Applied to Karun Reservoirs System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(2), pages 545-563, January.
    7. Dong, Qichen & Chen, Fanglin & Chen, Zhongfei, 2020. "Airports and air pollutions: Empirical evidence from China," Transport Policy, Elsevier, vol. 99(C), pages 385-395.
    8. Baharozu, Eren & Soykan, Gurkan & Ozerdem, M. Baris, 2017. "Future aircraft concept in terms of energy efficiency and environmental factors," Energy, Elsevier, vol. 140(P2), pages 1368-1377.
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    Cited by:

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    3. Hassan Alimam & Giovanni Mazzuto & Marco Ortenzi & Filippo Emanuele Ciarapica & Maurizio Bevilacqua, 2023. "Intelligent Retrofitting Paradigm for Conventional Machines towards the Digital Triplet Hierarchy," Sustainability, MDPI, vol. 15(2), pages 1-30, January.

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