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Effective aircraft maintenance schedule adjustment following incidents

Author

Listed:
  • Shangyao Yan
  • Fei-Yen Hsiao
  • Jyunjhih Guo
  • Yu-Ching Chen

Abstract

In the real world, planned aircraft maintenance schedules are often affected by incidents. Airlines may thus need to adjust their aircraft maintenance schedules following the incidents that occur during routine operations. In tradition, such aircraft maintenance schedule adjustment has been performed manually, a process which is neither effective nor efficient, especially when the problem scale is large. In this study, an aircraft maintenance schedule adjustment model is developed, with the objective of minimizing the total system cost, subject to the related operating constraints. The model is formulated as a zero-one integer program and is solved using a mathematical programing solver. The effectiveness of the model is evaluated by application to a case study using data from an aircraft maintenance center in Taiwan. The test results show the proposed model, as well as the scheduling rules abstracted from the results are useful for the decision maker to adjust good maintenance schedules.

Suggested Citation

  • Shangyao Yan & Fei-Yen Hsiao & Jyunjhih Guo & Yu-Ching Chen, 2011. "Effective aircraft maintenance schedule adjustment following incidents," Transportation Planning and Technology, Taylor & Francis Journals, vol. 34(8), pages 727-745, August.
    • Handle: RePEc:taf:transp:v:34:y:2011:i:8:p:727-745
    DOI: 10.1080/03081060.2011.613582
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    Cited by:

    1. Emanuel Ario Bimo & Eka Prabawa & Esra Kriahanta Sembiring & Oktaheroe Ramsi & Sjafrie Sjamsoeddin & Purnomo Yusgiantoro & I Wayan Midhio, 2022. "The Application of AHP and PESTEL-SWOT Analysis on The Study of Military Amphibious Aircraft Acquisition Decision Making in Indonesia," Technium Social Sciences Journal, Technium Science, vol. 27(1), pages 837-853, January.
    2. repec:thr:techub:10027:y:2022:i:1:p:837-853 is not listed on IDEAS
    3. Shen, Ching-Cheng & Yeh, Chien-Chi & Lin, Chun-Nan, 2022. "Using the perspective of business information technology technicians to explore how information technology affects business competitive advantage," Technological Forecasting and Social Change, Elsevier, vol. 184(C).

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