Standard Disruption Management Policy at Mactan-Cebu International Airport

References

[1] Alexander, D. (2015). Principles of emergency planning and management. Oxford University Press.

[2] Arias, J. A., Bierwirth, C., & Kopfer, H. (2018). An adaptive large neighborhood search heuristic for the airline disruption management problem. Transportation Research Part B: Methodological, 107, 268-287. doi: 10.1016/j.trb.2017.11.009

[3] Ball, M. O., Barnhart, C., Nemhauser, G. L., & Odoni, A. R. (2010). Airline disruptions: A computational study of recovery strategies. INFORMS Journal on Applied Analytics, 40(4), 529-545.

[4] Bruce, M. (2016). Evaluating the operational performance of an airline's recovery network. Journal of Air Transport Management, 55, 70-79. https://doi.org/10.1016/j.jairtraman.2016.03.010

[5] Bülbül, K.G. (2022). A Necessity for Sustainability: Operational Resilience Through Disruption Management in Airlines. In: Kiracı, K., Çalıyurt, K.T. (eds) Corporate Governance, Sustainability, and Information Systems in the Aviation Sector, Volume I. Accounting, Finance, Sustainability, Governance & Fraud: Theory and Application. Springer, Singapore. https://doi.org/10.1007/978-981-16-9276-5_2

[6] Castro, J., & Oliveira, J. F. (2018). Airline disruption management: A review. Journal of Air Transport Management, 68, 1-17. doi: 10.1016/j.jairtraman.2017.12.005

[7] Chao, C-C. (2018). Customer satisfaction with airport service quality. Journal of Air Transport Management, 68, 14-25. doi: https://doi.org/10.1016/j.jairtraman.2017.12.002

[8] Clark, A. J. (2019). Airline disruption management: A literature review and future research directions. Journal of Air Transport Management, 80, 101670. doi: 10.1016/j.jairtraman.2019.101670

[9] Connolly, K. (2018). The state of airport maintenance. Airport Technology. Retrieved from https://www.airport-technology.com/features/the-state-of-airport-maintenance/

[10] Cruz, F. (2019). Airport space planning: A review of current practices and future trends. Journal of Air Transport Management, 75, 80-90. https://doi.org/10.1016/j.jairtraman.2018.12.007

[11] Eggenberg, N., D'Ambrosio, C., Salani, M., & Bierlaire, M. (2020). Robust airline recovery using optimization and simulation. Transportation Research Part C: Emerging Technologies, 112, 23-44.

[12] Eggenberg, N., Salani, M., & Bierlaire, M. (2018). Recovery of a railway network from a large disruption: integrating rerouting, rescheduling and train circulation. Transportation Research Part C: Emerging Technologies, 95, 574-594. doi: 10.1016/j.trc.2018.09.004

[13] IATA. (2023). Emergency response planning. Retrieved from https://www.iata.org/en/programs/safety/emergency-response-planning/

[14] Ingram, J. (2017). Improving airport service quality: An airport-wide approach. Airport Technology. Retrieved from https://www.airport-technology.com/features/featureimproving-airport-service-quality-an-airport-wide-approach-5795342/

[15] International Air Transport Association (IATA). (2020). Emergency response planning guide for airlines. Retrieved from https://www.iata.org/contentassets/804e9530fa854750b44f9c9e9ac40fc7/emergency-response-planning-guide-for-airlines.pdf

[16] James Wilding. (2018). Airport Terminal Design and Operation. Encyclopedia of Aerospace Engineering, 1-17. doi:10.1002/9780470686652.eae532

[17] Krista Rhoades. (2020). Airport Ground Access: Issues and Innovations. Handbook of Transport and the Environment, 289-311. doi:10.1016/B978-0-12-816157-3.00015-7

[18] Liang, Y., Liu, C., & Wang, H. (2021). A two-stage stochastic programming model for airline aircraft recovery with disruptions. European Journal of Operational Research, 290(1), 295-307.

[19] Liu, F., Zhang, M., & Cui, N. (2020). A hybrid heuristic algorithm for solving the multi-objective airline recovery problem. Journal of Air Transport Management, 84, 101741. doi: 10.1016/j.jairtraman.2019.101741

[20] Liu, Y., Zhan, W., & Zhang, D. (2020). A bilevel programming model for airline aircraft recovery problem with delayed flights. Journal of Advanced Transportation, 2020, 1-19.

[21] Morrison, S. A., & Winston, C. (2018). The economics of airline delays and cancellations. Review of Industrial Organization, 52(4), 491-514. doi: https://doi.org/10.1007/s11151-017-9601-5

[22] Richters, O., Stocker, U., & Heidenberger, K. (2016). An empirical analysis of the causes of flight disruptions and the economic impact on the airline industry. Journal of Air Transport Management, 54, 36-46. https://doi.org/10.1016/j.jairtraman.2016.03.008

[23] Rupp, T., Holmes, M., & DeSimone, J. (2018). On the complementarity of flight delays and flight cancellations. Journal of Air Transport Management, 70, 1-6.

[24] Silent Gardens. (n.d.). NAIA Terminal 1 – the world’s worst airport. Retrieved April 2, 2023, from https://silent-gardens.com/blog/naia-terminal-1-the-worlds-worst-airport/

[25] Sousa, R., Costa, M. F. P., & Marques, P. (2019). Column generation and a set partitioning model for the airline recovery problem. Transportation Research Part E: Logistics and Transportation Review, 126, 14-32. doi: 10.1016/j.tre.2019.04.007

[26] Wu, Y., & Ren, J. (2016). Challenges for airport emergency management in China. Journal of Air Transport Management, 52, 26-34. https://doi.org/10.1016/j.jairtraman.2015.11.006

[27] Zhao, Y., & Tong, D. (2018). A joint optimization approach for aircraft and passenger recovery under airline disruptions. Transportation Research Part E: Logistics and Transportation Review, 115, 54-75. doi: 10.1016/j.tre.2018.04.001

[28] Wu, G., Zhang, G., & Chen, X. (2019). Robustness of stochastic airline network under passenger and airport disruption. Transportation Research Part E: Logistics and Transportation Review, 129, 142-164. doi: 10.1016/j.tre.2019.06.007

[29] Xiong, G., & Hansen, M. (2013). Airlines’ decision-making regarding domestic flight cancellations in the US air transportation industry. Journal of Air Transport Management, 27, 50-57.

[30] Yee, D. (2016). Keeping airports clean a constant struggle. The Seattle Times. Retrieved from https://www.seattletimes.com/life/travel/keeping-airports-clean-a-constant-struggle/

[31] Zhao, F., & Tong, X. (2018). An optimization model for airline aircraft recovery under airport capacity constraint. Transportation Research Part E: Logistics and Transportation Review, 116, 190-206.

@article{1704853,
      author = {Lovella C. De Leon},
      title = {Standard Disruption Management Policy at Mactan-Cebu International Airport},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {7},
      number = {1},
      pages = {241-255},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1704853.pdf},
      abstract = {This study aimed to improve the standard disruption management policy at Mactan-Cebu International Airport during weather standby by developing a detailed action plan for dealing with flight disruptions in terms of Emergency Response Plan as stated in the standard disruption management policy on Emergency Plan (EMPLAN) 10 - Weather Standby. The corresponding literature and studies, which were carefully selected for this study's scope based on their applicability, provided the researchers with a wide range of relevant information.
A survey questionnaire was administered to thirty (30) airport personnel and passengers to identify deficiencies in procedures and coordination among key personnel. This observational study used a descriptive quantitative research design with random sampling. The researcher used the type of instrument of a survey questionnaire through google form. The experts in legal studies and aviation regulations validated the questionnaire to get pertinent data for this study and the answers were studied using the qualitative approach. Several statistical tools were used, including frequency and percentage to describe the demographic profile of participants, mean to determine the level of influence of key factors on airline disruption, and Kruskal-Wallis H to determine significant differences in the implementation of the standard disruption management policy during weather standby. 
The study found that while the standard disruption management policy was implemented, there were still areas that required improvement. The study recommended developing comprehensive training programs, improving communication channels, regularly reviewing and updating the policy, strengthening contingency planning and risk management processes, and implementing an incident reporting and feedback system. Implementing these recommendations will improve the airport's preparedness to respond to emergencies and disruptions caused by adverse weather conditions.},
      keywords = {Airport, Disruption, Policy, Weather},
      month = {July},
  }