Machine learning in airline crew pairing to construct initial clusters for dynamic constraint aggregation
نویسندگان
چکیده
منابع مشابه
Robust Airline Crew Pairing: Move-up Crews
Due to irregular operations, the crew cost at the end of a month is typically substantially higher than the projected crew cost in planning. We assume that the fleeting and the aircraft routing decisions have already been made. We present a model and a solution methodology that produces robust crew schedules in planning. Besides the objective of minimizing the crew cost, we introduce the object...
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Increasing competition in the air transport market has intensified active airlines’ efforts to keep their market share by attaching due importance to cost management aimed at reduced final prices. Crew costs are second only to fuel costs on the cost list of airline companies. So, this paper attempts to investigate the cockpit crew pairing problem. The set partitioning problem has been used for ...
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Airline crew pairing problems involve assigning the required crew members to each flight segment in a given time period, while complying with a variety of work regulations and collective agreements. Traditional researches formulate the pairing problems as integer programming problems, and use deterministic approaches to optimize the solutions. Such these approaches usually suffer from some crit...
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ژورنال
عنوان ژورنال: EURO Journal on Transportation and Logistics
سال: 2020
ISSN: 2192-4376
DOI: 10.1016/j.ejtl.2020.100020