Airline crew scheduling with sustainability enhancement by data analytics under circular economy

Wen, Xin; Chung, Sai Ho; Ma, Hoi-Lam; Khan, Waqar Ahmed

doi:10.1007/s10479-023-05312-7

Cited by 8 publications

(2 citation statements)

References 41 publications

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“…They presented a mathematical heuristic approach that includes a decomposition method and a neighborhood search algorithm to solve the model efficiently. To enhance airlines' operational sustainability and promote the circular economy, Wen et al (2023) proposed a novel crew pairing problem, which aims to minimize the total basic operating costs, total fuel consumption, greenhouse gas emissions, as well as the robustness cost of generating crew pairings. A solution algorithm based on column generation technology was developed.…”

Section: Research Status Of Integration Problems Related To Crew Sche...mentioning

confidence: 99%

Research on optimization of flight crew scheduling considering pilot fatigue

Lin,

Guo,

You

et al. 2024

10.5267/j.ijiec

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Safety is a top concern for the civil aviation industry, and the risk of safety accidents will increase due to pilot fatigue. To ensure the safety of civil aviation, this paper proposes a method to solve the crew scheduling problem considering pilot fatigue. In order to reflect individual differences and fatigue levels of pilots, an improved three-stage alertness calculation model is first proposed based on subjective and objective perspectives to represent pilots’ alertness levels and fatigue working duration quantitatively. Then, for the crew scheduling problem considering pilot fatigue, a mixed integer programming model is constructed to simultaneously achieve the optimization objectives of reducing the overall scheduling cost and crew fatigue working duration. Next, since the actual crew scheduling problem is large-scale, a solution algorithm based on a column generation framework is developed to improve the quality and efficiency of solving the large-scale crew scheduling problem. Furthermore, in the case study, we collected actual data from an airline company to validate the effectiveness of our proposed method. Finally, through multiple experimental comparisons and analyses, to balance the two optimization objectives mentioned above, it is more reasonable to handle pilot fatigue working duration with soft constraints. Sensitivity analysis reveals the variation rules of the crew cost and fatigue, providing some valuable managerial insights for the crew scheduling problem considering pilot fatigue.

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Section: Research Status Of Integration Problems Related To Crew Sche...mentioning

confidence: 99%

Research on optimization of flight crew scheduling considering pilot fatigue

Lin,

Guo,

You

et al. 2024

10.5267/j.ijiec

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show abstract

“…For the airline industry, an important challenge encountered by all airlines is the plan of a daily schedule for a diverse fleet of aircraft. This schedule comprises a series of flight legs that need to be completed by an aircraft, with precise start and finish times specified for each leg at the corresponding airports [30][31][32][33][34]. In the field of maritime transportation, the existing literature mainly applies optimization methods to solve the PSRP, as shown in Table 1.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Routing and Scheduling of Flag State Control Officers in Maritime Transportation

Qiao,

Yang,

Guo

et al. 2024

Mathematics

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Maritime transportation plays a pivotal role in the global merchandise trade. To improve maritime safety and protect the environment, every state must effectively control ships flying its flag, which is called flag state control (FSC). However, the existing FSC system is so inefficient that it cannot perform its intended function. In this study, we adopt an optimization method to tackle this problem by constructing an integer programming (IP) model to solve the FSC officer routing and scheduling problem, which aims to maximize the total weight of inspected ships with limited budget and human resources. Then we prove that the IP model can be reformulated into a partially relaxed IP model with the guarantee of the result optimality. Finally, we perform a case study using the Hong Kong port as an example. The results show that our model can be solved to optimality within one second at different scales of the problem, with the ship number ranging from 20 to 1000. Furthermore, our study can be extended by considering the arrangement of working timetables with finer granularity and the fatigue level of personnel.

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Crew recovery optimization with deep learning and column generation for sustainable airline operation management

Herekoğlu,

Kabak

2023

Ann Oper Res

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Airline crew scheduling with sustainability enhancement by data analytics under circular economy

Cited by 8 publications

References 41 publications

Research on optimization of flight crew scheduling considering pilot fatigue

Research on optimization of flight crew scheduling considering pilot fatigue

Optimal Routing and Scheduling of Flag State Control Officers in Maritime Transportation

Crew recovery optimization with deep learning and column generation for sustainable airline operation management

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