Effective aircraft maintenance schedule adjustment following incidents

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 performe...

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Bibliographic Details
Published in:Transportation planning and technology Vol. 34; no. 8; pp. 727 - 745
Main Authors: Yan, Shangyao, Hsiao, Fei-Yen, Guo, Jyunjhih, Chen, Yu-Ching
Format: Journal Article
Language:English
Published: Abingdon Taylor & Francis Group 01.12.2011
Taylor & Francis
Taylor & Francis Ltd
Subjects:
Adjustment
Air transportation and traffic
Aircraft accidents & safety
Aircraft maintenance
Airlines
Applied sciences
Exact sciences and technology
Ground, air and sea transportation, marine construction
incident
integer program
Integer programming
Maintenance
Mathematical models
Repair & maintenance
schedule adjustment
Schedules
Scheduling
Solvers
Transportation
zero-one integer program
Taiwan
Data analysis
Mishap
Scheduling
Maintenance
integer program
Case study
Integer programming
Formulation
schedule adjustment
Problem solving
Air transportation
Planning
Aircraft
aircraft maintenance
incident
Comparative study
zero-one integer program
ISSN:0308-1060, 1029-0354
Online Access:Get full text
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Summary: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.
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ISSN:0308-1060
1029-0354
DOI:10.1080/03081060.2011.613582