2021
DOI: 10.1016/j.trc.2021.103129
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Airline ground operations: Schedule recovery optimization approach with constrained resources

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Cited by 30 publications
(8 citation statements)
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References 29 publications
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“…Jika pimpinan ceroboh, tidak tegas, dan kurang memperhatikan kondisi karyawan, maka dampak kinerja karyawan akan menurun. Hal ini bisa terjadi karena karyawan tersebut merasa kurang dihargai oleh pimpinannya (Evler, 2021b(Evler, , 2021aMetz, 2021;Pilon, 2021;Watkins, 2021).…”
Section: Pendahuluanunclassified
“…Jika pimpinan ceroboh, tidak tegas, dan kurang memperhatikan kondisi karyawan, maka dampak kinerja karyawan akan menurun. Hal ini bisa terjadi karena karyawan tersebut merasa kurang dihargai oleh pimpinannya (Evler, 2021b(Evler, , 2021aMetz, 2021;Pilon, 2021;Watkins, 2021).…”
Section: Pendahuluanunclassified
“…The high complexity drives the complete airline recovery problem to be traditionally separated into several sequential optimization subproblems: aircraft recovery ( Thengvall et al, 2003 ), crew recovery ( Lettovskỳ et al, 2000 ), and passenger recovery (usually studied with other subproblems). However, recent two decades have witnessed increasing interest in the integrated airline recovery problem ( Zhang et al, 2015 ) encompassing two or more subproblems as a significant amount of additional tactical cost can be saved ( Evler et al, 2021 ). The related literature on airline disruption management is summarized in Table 1 , where column A/C and Pax denote aircraft and passengers, respectively.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The model implicitly assumed that the crew and aircraft resources met the requirements. Wang et al ( 19 ) published their work on the flight recovery problem as an integer or mixed integer linear programming problem, demonstrating the potential of simulation-based approaches in the study of the flight recovery problem; during aircraft ground operations, Evler et al ( 20 ) incorporated all possible schedule recovery alternatives. The developed mathematical optimization model was an adaptation of the resource-constrained project scheduling problem, and it incorporated key features from the airline hub control problem such as turnaround target time prediction, passenger connection management, tactical stand allocation, and ground service vehicle routing.…”
Section: Literature Reviewmentioning
confidence: 99%