TY - GEN
T1 - An Ant Colony Optimization with Turn-Around-Time Reduction Mechanism for the Robust Aircraft Maintenance Routing Problem
AU - Eltoukhy, Abdelrahman E.E.
AU - Mostafa, Noha
N1 - Funding Information:
Acknowledgments. The study presented in this article was mainly supported by a grant from the Research Committee of The Hong Kong Polytechnic University under project code P0036181and RGC (Hong Kong).
Publisher Copyright:
© 2022, IFIP International Federation for Information Processing.
PY - 2022/9/17
Y1 - 2022/9/17
N2 - The robust aircraft maintenance routing problem (RAMRP) is adopted by airlines to determine aircraft routes with better withstanding for possible disruptions. This can be achieved using a common approach called the buffer time insertion approach (BT). From the literature, it was observed that this approach has a pitfall of reducing the fleet productivity while inserting long buffer times. Besides, it cannot accommodate flight delays while inserting short buffer times. These disadvantages were the motivation to conduct this study to propose a RAMRP solution that incorporates a novel robustness approach, called turn-around-time reduction (TR), in which all the previous drawbacks are avoided. An ant colony-based algorithm (AC) was developed to solve the proposed RAMRP. To demonstrate the viability and effectiveness of the proposed approach, experiments are conducted based on real data obtained from a major airline company located in the Middle East. The results show that the proposed TR outperforms the existing BT in terms of fleet productivity and delay accommodation.
AB - The robust aircraft maintenance routing problem (RAMRP) is adopted by airlines to determine aircraft routes with better withstanding for possible disruptions. This can be achieved using a common approach called the buffer time insertion approach (BT). From the literature, it was observed that this approach has a pitfall of reducing the fleet productivity while inserting long buffer times. Besides, it cannot accommodate flight delays while inserting short buffer times. These disadvantages were the motivation to conduct this study to propose a RAMRP solution that incorporates a novel robustness approach, called turn-around-time reduction (TR), in which all the previous drawbacks are avoided. An ant colony-based algorithm (AC) was developed to solve the proposed RAMRP. To demonstrate the viability and effectiveness of the proposed approach, experiments are conducted based on real data obtained from a major airline company located in the Middle East. The results show that the proposed TR outperforms the existing BT in terms of fleet productivity and delay accommodation.
KW - Aircraft maintenance routing problem
KW - Airline operations
KW - Ant Colony optimization
KW - Robustness
UR - http://www.scopus.com/inward/record.url?scp=85138821627&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-16411-8_28
DO - 10.1007/978-3-031-16411-8_28
M3 - Conference article published in proceeding or book
AN - SCOPUS:85138821627
SN - 9783031164101
VL - Part II
T3 - IFIP Advances in Information and Communication Technology
SP - 224
EP - 231
BT - Advances in Production Management Systems. Smart Manufacturing and Logistics Systems
A2 - Kim, Duck Young
A2 - von Cieminski, Gregor
A2 - Romero, David
PB - Springer Science and Business Media Deutschland GmbH
T2 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2022
Y2 - 25 September 2022 through 29 September 2022
ER -