Robust Aircraft Maintenance Routing Problem Using a Turn-Around Time Reduction Approach

This article discusses the problem of how to efficiently build aircraft routes that better withstand potential disruptions, such as bad weather, technical problems, and passenger delays. This optimization problem is called robust aircraft maintenance routing problem (RAMRP). There are three approach...

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Published in:IEEE transactions on systems, man, and cybernetics. Systems Vol. 50; no. 12; pp. 4919 - 4932
Main Authors: Eltoukhy, Abdelrahman E. E., Wang, Z. X., Chan, Felix T. S., Chung, S. H., Ma, Hoi-Lam, Wang, X. P.
Format: Journal Article
Language:English
Published: New York IEEE 01.12.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Aircraft
Aircraft maintenance
Aircraft maintenance routing problem (AMRP)
Aircraft manufacture
airline operations
Atmospheric modeling
Commercial aircraft
Delay
Delays
Maintenance engineering
Optimization
Productivity
Reduction
Regulations
Robustness
Routing
turn-around time (TRT)
Weather
ISSN:2168-2216, 2168-2232
Online Access:Get full text
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Summary:This article discusses the problem of how to efficiently build aircraft routes that better withstand potential disruptions, such as bad weather, technical problems, and passenger delays. This optimization problem is called robust aircraft maintenance routing problem (RAMRP). There are three approaches in the literature to deal with the RAMRP, such as the buffer time allocation approach (BT), the departure retiming approach (DR), and the scenario-based stochastic programming approach (SSP). Most of the previous approaches have some shortcomings in terms of fleet productivity and delay absorption. In addition, the majority of the RAMRP models overlook maintenance regulations, which result in the generation of infeasible routes. In this article, RAMRP is investigated with two main objectives. First, a novel robustness approach, called the turn-around time reduction approach (TRTR), that avoids the shortcomings of the existing approaches, is incorporated into RAMRP. The second objective is to develop an RAMRP model that simultaneously considers all maintenance regulations. The effectiveness of the proposed RAMRP model along with the TRTR is demonstrated using real data from a major Middle Eastern airline. The results reveal an improved performance of the TRTR over the BT by about 3.43%-12.20% and 2.5%-13.58%, while handling the expected propagated delay costs and fleet productivity, respectively. In addition, the results show that the TRTR is better than the SSP by about 2.07%-18.82%, while minimizing the propagated delay costs. Therefore, the TRTR has a great potential to be implemented in the actual industry.
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ISSN:2168-2216
2168-2232
DOI:10.1109/TSMC.2019.2937648