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Airlines Operation Strategy After The COVID-19 Pandemic: A Conceptual Model

Published:27 November 2022Publication History

ABSTRACT

∗The COVID-19 pandemic has caused demand for flight services to drop dramatically and caused a decline in commercial flight services in the world. Many airlines were suspending their flight operation several months after the outbreak. To survive, many airlines respond by postponing new aircraft delivery, grounding their aircraft, and even reducing their fleet. When the world is recovering from the pandemic event, airlines must prepare for a return to operation. Grounded aircraft, financial issues, and air travel uncertainty made the process itself a complex dynamic system. Those complexity is interfering with the airline objective for returning into operation. This paper aims to understand and analyze the complexity of the airline return to operation process. For this purpose, the study develops a conceptual using the causal loop diagram. It is further visualized through a system diagram to illustrate the airline return to operation problem comprehensively. This study's result can be used as the basis for developing several scenarios and policy interventions that can affect the process's objective.

References

  1. Connor, P. (2020). More than nine-in-ten people worldwide live in countries with travel restrictions amid COVID-19. Pew Research Center, 1.Google ScholarGoogle Scholar
  2. Dube, K., Nhamo, G., & Chikodzi, D. (2021). COVID-19 pandemic and prospects for recovery of the global aviation industry. Journal of Air Transport Management, 92. doi:10.1016/j.jairtraman.2021.102022Google ScholarGoogle Scholar
  3. Budd, L., Ison, S., & Adrienne, N. (2020). European airline response to the COVID-19 pandemic – Contraction, consolidation and future considerations for airline business and management. Research in Transportation Business & Management, 37. doi:10.1016/j.rtbm.2020.100578Google ScholarGoogle Scholar
  4. Adrienne, N., Budd, L., & Ison, S. (2020). Grounded aircraft: An airfield operations perspective of the challenges of resuming flights post COVID. J Air Transp Manag, 89, 101921. doi:10.1016/j.jairtraman.2020.101921Google ScholarGoogle ScholarCross RefCross Ref
  5. Berita Satu Media Holdings. (2020). Pandemi Covid-19, Garuda Grounded 70 Persen Pesawat. Retrieved from https://www.beritasatu.com/ekonomi/ 637055/pandemi-covid19-garuda-grounded-70-persen-pesawatGoogle ScholarGoogle Scholar
  6. Marcontel, D., Cooper, T., Martin, C.G., & Reagan, I. (2020). Update: Impact of COVID-19 on commercial MRO. Oliver Wyman – A Marsh & McLennan Company. https://www.oliverwyman.com/our-expertise/insights/2020/mar/COVID-19-Impact-On-Commercial-Aviation-Maintenance.htmlGoogle ScholarGoogle Scholar
  7. Albers, S., & Rundshagen, V. (2020). European airlines′ strategic responses to the COVID-19 pandemic (January-May, 2020). Journal of Air Transport Management, 87, 101863Google ScholarGoogle ScholarCross RefCross Ref
  8. ICAO. (2016). Annex 6: Operation of Aircraft; Annex 8: Airworthiness of Aircraft. Retrieved from https://www.icao.int/safety/airnavigation/ nationalitymarks/annexes_booklet_en.pdfGoogle ScholarGoogle Scholar
  9. Ahmadi, A., Söderholm, P., & Kumar, U. (2010). On aircraft scheduled maintenance program development. Journal of Quality in Maintenance Engineering, 16(3), 229-255. doi:10.1108/13552511011072899Google ScholarGoogle ScholarCross RefCross Ref
  10. Sahay, A. (2012). Leveraging information technology for optimal aircraft maintenance, repair and overhaul (MRO). Elsevier.Google ScholarGoogle ScholarCross RefCross Ref
  11. Tokgöz, A., Bulkan, S., Zaim, S., Delen, D., & Torlak, N. G. (2018). Modeling airline MRO operations using a systems dynamics approach. Journal of Quality in Maintenance Engineering, 24(3), 280-310. doi:10.1108/jqme-05-2017-0037Google ScholarGoogle ScholarCross RefCross Ref
  12. Reynolds, M., & Holwell, S. (2010). Systems approaches to managing change: a practical guide: Springer.Google ScholarGoogle ScholarCross RefCross Ref
  13. Sterman, J. (2010). Business dynamics: Irwin/McGraw-Hill c2000..Google ScholarGoogle Scholar
  14. Cook, G. N., & Billig, B. (2017). Airline operations and management: a management textbook: Taylor & Francis..Google ScholarGoogle Scholar
  15. Abate, M., Christidis, P., & Purwanto, A. J. (2020). Government support to airlines in the aftermath of the COVID-19 pandemic. J Air Transp Manag, 89, 101931. doi:10.1016/j.jairtraman.2020.101931Google ScholarGoogle ScholarCross RefCross Ref
  16. Czerny, A. I., Fu, X., Lei, Z., & Oum, T. H. (2021). Post pandemic aviation market recovery: Experience and lessons from China. Journal of Air Transport Management, 90. doi:10.1016/j.jairtraman.2020.101971Google ScholarGoogle Scholar

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      cover image ACM Other conferences
      APCORISE '21: Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering
      May 2021
      672 pages
      ISBN:9781450390385
      DOI:10.1145/3468013

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      Publication History

      • Published: 27 November 2022

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