How to cite this paper
Teymouri, A., Sahebi, H & Pishvaee, M. (2023). Airline operational crew-aircraft planning considering revenue management: A robust optimization model under disruption.International Journal of Industrial Engineering Computations , 14(2), 381-402.
Refrences
Abdelghany, A., & Abdelghany, K. (2018). Airline network planning and scheduling: John Wiley & Sons.
Abreu, L. R., & Nagano, M. S. (2022). A new hybridization of adaptive large neighborhood search with constraint programming for open shop scheduling with sequence-dependent setup times. Computers & Industrial Engineering, 168, 108128.
Ahmed, M. B., Ghroubi, W., Haouari, M., & Sherali, H. D. (2017). A hybrid optimization-simulation approach for robust weekly aircraft routing and retiming. Transportation Research Part C: Emerging Technologies, 84, 1-20.
Ahmed, M. B., Mansour, F. Z., & Haouari, M. (2018). Robust integrated maintenance aircraft routing and crew pairing. Journal of Air Transport Management, 73, 15-31.
Al-Thani, N. A., Ahmed, M. B., & Haouari, M. (2016). A model and optimization-based heuristic for the operational aircraft maintenance routing problem. Transportation Research Part C: Emerging Technologies, 72, 29-44.
An, J., Mikhaylov, A., & Jung, S.-U. (2021). A linear programming approach for robust network revenue management in the airline industry. Journal of Air Transport Management, 91, 101979.
Antunes, D., Vaze, V., & Antunes, A. P. (2019). A robust pairing model for airline crew scheduling. Transportation science, 53(6), 1751-1771.
Barnhart, C., Belobaba, P., & Odoni, A. R. (2003). Applications of operations research in the air transport industry. Transportation science, 37(4), 368-391.
Barnhart, C., Cohn, A. M., Johnson, E. L., Klabjan, D., Nemhauser, G. L., & Vance, P. H. (2003). Airline crew scheduling. In Handbook of transportation science (pp. 517-560): Springer.
Barnhart, C., Farahat, A., & Lohatepanont, M. (2009). Airline fleet assignment with enhanced revenue modeling. Operations Research, 57(1), 231-244.
Başdere, M., & Bilge, Ü. (2014). Operational aircraft maintenance routing problem with remaining time consideration. European Journal of Operational Research, 235(1), 315-328.
Bazargan, M. (2016). Airline operations and scheduling: Routledge.
Bulbul, K. G., & Kasimbeyli, R. (2021). Augmented Lagrangian based hybrid subgradient method for solving aircraft maintenance routing problem. Computers & Operations Research, 132, 105294.
Cacchiani, V., & Salazar-González, J.-J. (2013). A heuristic approach for an integrated fleet-assignment, aircraft-routing and crew-pairing problem. Electronic Notes in Discrete Mathematics, 41, 391-398.
Cacchiani, V., & Salazar-González, J.-J. (2017). Optimal solutions to a real-world integrated airline scheduling problem. Transportation science, 51(1), 250-268.
Cacchiani, V., & Salazar-González, J.-J. (2020). Heuristic approaches for flight retiming in an integrated airline scheduling problem of a regional carrier. Omega, 91, 102028.
Chen, C., Demir, E., & Huang, Y. (2021). An adaptive large neighborhood search heuristic for the vehicle routing problem with time windows and delivery robots. European journal of operational research, 294(3), 1164-1180.
Chiang, W.-C., Chen, J. C. H., & Xu, X. (2007). An overview of research on revenue management: current issues and future research. International Journal of Revenue Management, 1(1), 97-128.
Chutima, P., & Krisanaphan, N. (2022). Cockpit crew pairing Pareto optimisation in a budget airline. International Journal of Industrial Engineering Computations, 13(1), 67-80.
Cordeau, J.-F., Stojković, G., Soumis, F., & Desrosiers, J. (2001). Benders decomposition for simultaneous aircraft routing and crew scheduling. Transportation science, 35(4), 375-388.
Díaz-Ramírez, J., Huertas, J. I., & Trigos, F. (2014). Aircraft maintenance, routing, and crew scheduling planning for airlines with a single fleet and a single maintenance and crew base. Computers & Industrial Engineering, 75, 68-78.
Dück, V. (2010). Increasing stability of aircraft and crew schedules. Framework(July), 1-157.
Eltoukhy, A. E. E., Chan, F. T. S., & Chung, S. H. (2017). Airline schedule planning: a review and future directions. Industrial Management & Data Systems.
Eltoukhy, A. E. E., Chan, F. T. S., Chung, S. H., & Niu, B. (2018). A model with a solution algorithm for the operational aircraft maintenance routing problem. Computers & Industrial Engineering, 120, 346-359.
Eltoukhy, A. E. E., Wang, Z. X., Chan, F. T. S., & Chung, S. H. (2018). Joint optimization using a leader–follower Stackelberg game for coordinated configuration of stochastic operational aircraft maintenance routing and maintenance staffing. Computers & Industrial Engineering, 125, 46-68.
Etschmaier, M. M., & Mathaisel, D. F. X. (1985). Airline scheduling: An overview. Transportation science, 19(2), 127-138.
Gao, C., Johnson, E., & Smith, B. (2009). Integrated airline fleet and crew robust planning. Transportation science, 43(1), 2-16.
Gopalan, R., & Talluri, K. T. (1998). The aircraft maintenance routing problem. Operations Research, 46(2), 260-271.
Haouari, M., Zeghal Mansour, F., & Sherali, H. D. (2019). A new compact formulation for the daily crew pairing problem. Transportation science, 53(3), 811-828.
Jalili, M., & Manteghi, M. (2018). Analysis of forecasting the demand for passenger and cargo transport in Iran aviation industry. Quarterly Journal of Transportation Engineering, 10(1), 75-101.
Karna, S. K., & Sahai, R. (2012). An overview on Taguchi method. International journal of engineering and mathematical sciences, 1(1), 1-7.
Kasirzadeh, A., Saddoune, M., & Soumis, F. (2017). Airline crew scheduling: models, algorithms, and data sets. EURO Journal on Transportation and Logistics, 6(2), 111-137.
Kumar, R., Wang, W., Simrin, A., Arunachalam, S. K., Guntreddy, B. R., & Walczak, D. (2021). Competitive revenue management models with loyal and fully flexible customers. Journal of Revenue and Pricing Management, 20(3), 256-275.
Lenstra, J. K., & Rinnooy Kan, A. H. G. (1978). Complexity of scheduling under precedence constraints. Operations Research, 26(1), 22-35.
Li, Z., & Jiao, P. (2022). Two-stage stochastic programming for the inventory routing problem with stochastic demands in fuel delivery. International Journal of Industrial Engineering Computations, 13(4), 507-522.
McGill, J. I., & Van Ryzin, G. J. (1999). Revenue management: Research overview and prospects. Transportation science, 33(2), 233-256.
Mirabi, M., Ghiyasvand-Mohammadkhani, H., & Tavakkoli-Moghaddam, R. (2019). Mathematical modeling and solving a hub location-allocation problem in Iranian airports. Quarterly Journal of Transportation Engineering.
Mnich, M., & van Bevern, R. (2018). Parameterized complexity of machine scheduling: 15 open problems. Computers & Operations Research, 100, 254-261.
Mulvey, J. M., Vanderbei, R. J., & Zenios, S. A. (1995). Robust optimization of large-scale systems. Operations Research, 43(2), 264-281.
Nasri, M., Metrane, A., Hafidi, I., & Jamali, A. (2020). A robust approach for solving a vehicle routing problem with time windows with uncertain service and travel times. International Journal of Industrial Engineering Computations, 11(1), 1-16.
Papadakos, N. (2009). Integrated airline scheduling. Computers & Operations Research, 36(1), 176-195.
Parmentier, A., & Meunier, F. (2020). Aircraft routing and crew pairing: Updated algorithms at Air France. Omega, 93, 102073.
Phillips, R. L. (2021). Pricing and revenue optimization. In Pricing and Revenue Optimization: Stanford university press.
Ropke, S., & Pisinger, D. (2006). An adaptive large neighborhood search heuristic for the pickup and delivery problem with time windows. Transportation Science, 40(4), 455-472.
Ruan, J. H., Wang, Z. X., Chan, F. T. S., Patnaik, S., & Tiwari, M. K. (2021). A reinforcement learning-based algorithm for the aircraft maintenance routing problem. Expert Systems with Applications, 169, 114399.
Sa, C. A. A., Santos, B. F., & Clarke, J.-P. B. (2020). Portfolio-based airline fleet planning under stochastic demand. Omega, 97, 102101.
Safaei, N., & Jardine, A. K. S. (2018). Aircraft routing with generalized maintenance constraints. Omega, 80, 111-122.
Sahebi, H., Ranjbar, S., & Teymouri, A. (2022). Investigating different reverse channels in a closed-loop supply chain: A power perspective. Operational Research, 22(3), 1939-1985.
Salazar-González, J.-J. (2014). Approaches to solve the fleet-assignment, aircraft-routing, crew-pairing and crew-rostering problems of a regional carrier. Omega, 43, 71-82.
Salehi, F., Mahootchi, M., & Husseini, S. M. M. (2019). Developing a robust stochastic model for designing a blood supply chain network in a crisis: A possible earthquake in Tehran. Annals of Operations Research, 283(1), 679-703.
Sanchez, D. T., Boyacı, B., & Zografos, K. G. (2020). An optimisation framework for airline fleet maintenance scheduling with tail assignment considerations. Transportation Research Part B: Methodological, 133, 142-164.
Sandhu, R., & Klabjan, D. (2007). Integrated airline fleeting and crew-pairing decisions. Operations Research, 55(3), 439-456.
Sarac, A., Batta, R., & Rump, C. M. (2006). A branch-and-price approach for operational aircraft maintenance routing. European Journal of Operational Research, 175(3), 1850-1869.
Schaap, H., Schiffer, M., Schneider, M., & Walther, G. (2022). A Large Neighborhood Search for the Vehicle Routing Problem with Multiple Time Windows. Transportation Science.
Schaefer, A. J., Johnson, E. L., Kleywegt, A. J., & Nemhauser, G. L. (2005). Airline crew scheduling under uncertainty. Transportation science, 39(3), 340-348.
Shao, S., Sherali, H. D., & Haouari, M. (2017). A novel model and decomposition approach for the integrated airline fleet assignment, aircraft routing, and crew pairing problem. Transportation science, 51(1), 233-249.
Talluri, K. T. (1998). The four-day aircraft maintenance routing problem. Transportation science, 32(1), 43-53.
Vinod, B. (2021). An approach to adaptive robust revenue management with continuous demand management in a COVID-19 era. Journal of Revenue and Pricing Management, 20(1), 10-14.
Weide, O., Ryan, D., & Ehrgott, M. (2010). An iterative approach to robust and integrated aircraft routing and crew scheduling. Computers & Operations Research, 37(5), 833-844.
Wen, X., Ma, H.-L., Chung, S.-H., & Khan, W. A. (2020). Robust airline crew scheduling with flight flying time variability. Transportation Research Part E: Logistics and Transportation Review, 144, 102132.
Yu, C.-S., & Li, H.-L. (2000). A robust optimization model for stochastic logistic problems. International Journal of Production Economics, 64(1-3), 385-397.
Zhang, X., & Mahadevan, S. (2017). Aircraft re-routing optimization and performance assessment under uncertainty. Decision Support Systems, 96, 67-82.
Abreu, L. R., & Nagano, M. S. (2022). A new hybridization of adaptive large neighborhood search with constraint programming for open shop scheduling with sequence-dependent setup times. Computers & Industrial Engineering, 168, 108128.
Ahmed, M. B., Ghroubi, W., Haouari, M., & Sherali, H. D. (2017). A hybrid optimization-simulation approach for robust weekly aircraft routing and retiming. Transportation Research Part C: Emerging Technologies, 84, 1-20.
Ahmed, M. B., Mansour, F. Z., & Haouari, M. (2018). Robust integrated maintenance aircraft routing and crew pairing. Journal of Air Transport Management, 73, 15-31.
Al-Thani, N. A., Ahmed, M. B., & Haouari, M. (2016). A model and optimization-based heuristic for the operational aircraft maintenance routing problem. Transportation Research Part C: Emerging Technologies, 72, 29-44.
An, J., Mikhaylov, A., & Jung, S.-U. (2021). A linear programming approach for robust network revenue management in the airline industry. Journal of Air Transport Management, 91, 101979.
Antunes, D., Vaze, V., & Antunes, A. P. (2019). A robust pairing model for airline crew scheduling. Transportation science, 53(6), 1751-1771.
Barnhart, C., Belobaba, P., & Odoni, A. R. (2003). Applications of operations research in the air transport industry. Transportation science, 37(4), 368-391.
Barnhart, C., Cohn, A. M., Johnson, E. L., Klabjan, D., Nemhauser, G. L., & Vance, P. H. (2003). Airline crew scheduling. In Handbook of transportation science (pp. 517-560): Springer.
Barnhart, C., Farahat, A., & Lohatepanont, M. (2009). Airline fleet assignment with enhanced revenue modeling. Operations Research, 57(1), 231-244.
Başdere, M., & Bilge, Ü. (2014). Operational aircraft maintenance routing problem with remaining time consideration. European Journal of Operational Research, 235(1), 315-328.
Bazargan, M. (2016). Airline operations and scheduling: Routledge.
Bulbul, K. G., & Kasimbeyli, R. (2021). Augmented Lagrangian based hybrid subgradient method for solving aircraft maintenance routing problem. Computers & Operations Research, 132, 105294.
Cacchiani, V., & Salazar-González, J.-J. (2013). A heuristic approach for an integrated fleet-assignment, aircraft-routing and crew-pairing problem. Electronic Notes in Discrete Mathematics, 41, 391-398.
Cacchiani, V., & Salazar-González, J.-J. (2017). Optimal solutions to a real-world integrated airline scheduling problem. Transportation science, 51(1), 250-268.
Cacchiani, V., & Salazar-González, J.-J. (2020). Heuristic approaches for flight retiming in an integrated airline scheduling problem of a regional carrier. Omega, 91, 102028.
Chen, C., Demir, E., & Huang, Y. (2021). An adaptive large neighborhood search heuristic for the vehicle routing problem with time windows and delivery robots. European journal of operational research, 294(3), 1164-1180.
Chiang, W.-C., Chen, J. C. H., & Xu, X. (2007). An overview of research on revenue management: current issues and future research. International Journal of Revenue Management, 1(1), 97-128.
Chutima, P., & Krisanaphan, N. (2022). Cockpit crew pairing Pareto optimisation in a budget airline. International Journal of Industrial Engineering Computations, 13(1), 67-80.
Cordeau, J.-F., Stojković, G., Soumis, F., & Desrosiers, J. (2001). Benders decomposition for simultaneous aircraft routing and crew scheduling. Transportation science, 35(4), 375-388.
Díaz-Ramírez, J., Huertas, J. I., & Trigos, F. (2014). Aircraft maintenance, routing, and crew scheduling planning for airlines with a single fleet and a single maintenance and crew base. Computers & Industrial Engineering, 75, 68-78.
Dück, V. (2010). Increasing stability of aircraft and crew schedules. Framework(July), 1-157.
Eltoukhy, A. E. E., Chan, F. T. S., & Chung, S. H. (2017). Airline schedule planning: a review and future directions. Industrial Management & Data Systems.
Eltoukhy, A. E. E., Chan, F. T. S., Chung, S. H., & Niu, B. (2018). A model with a solution algorithm for the operational aircraft maintenance routing problem. Computers & Industrial Engineering, 120, 346-359.
Eltoukhy, A. E. E., Wang, Z. X., Chan, F. T. S., & Chung, S. H. (2018). Joint optimization using a leader–follower Stackelberg game for coordinated configuration of stochastic operational aircraft maintenance routing and maintenance staffing. Computers & Industrial Engineering, 125, 46-68.
Etschmaier, M. M., & Mathaisel, D. F. X. (1985). Airline scheduling: An overview. Transportation science, 19(2), 127-138.
Gao, C., Johnson, E., & Smith, B. (2009). Integrated airline fleet and crew robust planning. Transportation science, 43(1), 2-16.
Gopalan, R., & Talluri, K. T. (1998). The aircraft maintenance routing problem. Operations Research, 46(2), 260-271.
Haouari, M., Zeghal Mansour, F., & Sherali, H. D. (2019). A new compact formulation for the daily crew pairing problem. Transportation science, 53(3), 811-828.
Jalili, M., & Manteghi, M. (2018). Analysis of forecasting the demand for passenger and cargo transport in Iran aviation industry. Quarterly Journal of Transportation Engineering, 10(1), 75-101.
Karna, S. K., & Sahai, R. (2012). An overview on Taguchi method. International journal of engineering and mathematical sciences, 1(1), 1-7.
Kasirzadeh, A., Saddoune, M., & Soumis, F. (2017). Airline crew scheduling: models, algorithms, and data sets. EURO Journal on Transportation and Logistics, 6(2), 111-137.
Kumar, R., Wang, W., Simrin, A., Arunachalam, S. K., Guntreddy, B. R., & Walczak, D. (2021). Competitive revenue management models with loyal and fully flexible customers. Journal of Revenue and Pricing Management, 20(3), 256-275.
Lenstra, J. K., & Rinnooy Kan, A. H. G. (1978). Complexity of scheduling under precedence constraints. Operations Research, 26(1), 22-35.
Li, Z., & Jiao, P. (2022). Two-stage stochastic programming for the inventory routing problem with stochastic demands in fuel delivery. International Journal of Industrial Engineering Computations, 13(4), 507-522.
McGill, J. I., & Van Ryzin, G. J. (1999). Revenue management: Research overview and prospects. Transportation science, 33(2), 233-256.
Mirabi, M., Ghiyasvand-Mohammadkhani, H., & Tavakkoli-Moghaddam, R. (2019). Mathematical modeling and solving a hub location-allocation problem in Iranian airports. Quarterly Journal of Transportation Engineering.
Mnich, M., & van Bevern, R. (2018). Parameterized complexity of machine scheduling: 15 open problems. Computers & Operations Research, 100, 254-261.
Mulvey, J. M., Vanderbei, R. J., & Zenios, S. A. (1995). Robust optimization of large-scale systems. Operations Research, 43(2), 264-281.
Nasri, M., Metrane, A., Hafidi, I., & Jamali, A. (2020). A robust approach for solving a vehicle routing problem with time windows with uncertain service and travel times. International Journal of Industrial Engineering Computations, 11(1), 1-16.
Papadakos, N. (2009). Integrated airline scheduling. Computers & Operations Research, 36(1), 176-195.
Parmentier, A., & Meunier, F. (2020). Aircraft routing and crew pairing: Updated algorithms at Air France. Omega, 93, 102073.
Phillips, R. L. (2021). Pricing and revenue optimization. In Pricing and Revenue Optimization: Stanford university press.
Ropke, S., & Pisinger, D. (2006). An adaptive large neighborhood search heuristic for the pickup and delivery problem with time windows. Transportation Science, 40(4), 455-472.
Ruan, J. H., Wang, Z. X., Chan, F. T. S., Patnaik, S., & Tiwari, M. K. (2021). A reinforcement learning-based algorithm for the aircraft maintenance routing problem. Expert Systems with Applications, 169, 114399.
Sa, C. A. A., Santos, B. F., & Clarke, J.-P. B. (2020). Portfolio-based airline fleet planning under stochastic demand. Omega, 97, 102101.
Safaei, N., & Jardine, A. K. S. (2018). Aircraft routing with generalized maintenance constraints. Omega, 80, 111-122.
Sahebi, H., Ranjbar, S., & Teymouri, A. (2022). Investigating different reverse channels in a closed-loop supply chain: A power perspective. Operational Research, 22(3), 1939-1985.
Salazar-González, J.-J. (2014). Approaches to solve the fleet-assignment, aircraft-routing, crew-pairing and crew-rostering problems of a regional carrier. Omega, 43, 71-82.
Salehi, F., Mahootchi, M., & Husseini, S. M. M. (2019). Developing a robust stochastic model for designing a blood supply chain network in a crisis: A possible earthquake in Tehran. Annals of Operations Research, 283(1), 679-703.
Sanchez, D. T., Boyacı, B., & Zografos, K. G. (2020). An optimisation framework for airline fleet maintenance scheduling with tail assignment considerations. Transportation Research Part B: Methodological, 133, 142-164.
Sandhu, R., & Klabjan, D. (2007). Integrated airline fleeting and crew-pairing decisions. Operations Research, 55(3), 439-456.
Sarac, A., Batta, R., & Rump, C. M. (2006). A branch-and-price approach for operational aircraft maintenance routing. European Journal of Operational Research, 175(3), 1850-1869.
Schaap, H., Schiffer, M., Schneider, M., & Walther, G. (2022). A Large Neighborhood Search for the Vehicle Routing Problem with Multiple Time Windows. Transportation Science.
Schaefer, A. J., Johnson, E. L., Kleywegt, A. J., & Nemhauser, G. L. (2005). Airline crew scheduling under uncertainty. Transportation science, 39(3), 340-348.
Shao, S., Sherali, H. D., & Haouari, M. (2017). A novel model and decomposition approach for the integrated airline fleet assignment, aircraft routing, and crew pairing problem. Transportation science, 51(1), 233-249.
Talluri, K. T. (1998). The four-day aircraft maintenance routing problem. Transportation science, 32(1), 43-53.
Vinod, B. (2021). An approach to adaptive robust revenue management with continuous demand management in a COVID-19 era. Journal of Revenue and Pricing Management, 20(1), 10-14.
Weide, O., Ryan, D., & Ehrgott, M. (2010). An iterative approach to robust and integrated aircraft routing and crew scheduling. Computers & Operations Research, 37(5), 833-844.
Wen, X., Ma, H.-L., Chung, S.-H., & Khan, W. A. (2020). Robust airline crew scheduling with flight flying time variability. Transportation Research Part E: Logistics and Transportation Review, 144, 102132.
Yu, C.-S., & Li, H.-L. (2000). A robust optimization model for stochastic logistic problems. International Journal of Production Economics, 64(1-3), 385-397.
Zhang, X., & Mahadevan, S. (2017). Aircraft re-routing optimization and performance assessment under uncertainty. Decision Support Systems, 96, 67-82.