{"title":"Airline recovery problem under disruptions: A review","authors":"Shuai Wu , Enze Liu , Rui Cao , Qiang Bai","doi":"10.1016/j.cor.2024.106915","DOIUrl":null,"url":null,"abstract":"<div><div>Flights are vulnerable to unforeseen factors, such as adverse weather, airport flow control, crew absence, unexpected aircraft maintenance, and pandemic, all of which can cause disruptions in flight schedules. Consequently, managers need to reallocate relevant resources to ensure that the airport can return to normal operations on the basis of minimum cost, a challenge known as the airline recovery problem. Airline recovery is an active research area, with a lot of publications in recent years. To provide a comprehensive overview of airline recovery, first, keywords are selected to search for relevant studies, then existing studies are analyzed in terms of the number of papers, keywords, and sources. The study then delves into an analysis of passenger-oriented airline recovery problems on both traditional and novel recovery strategies. A detailed exploration of novel recovery strategies is conducted to uncover new insights and potential solutions for addressing airline recovery problems. Furthermore, this study investigates recovery strategies for cargo-oriented airline operations, comparing them with those designed for passenger-oriented airline recovery to offer insights for future studies on airline recovery problems. Finally, conclusions are drawn and future study directions are provided. For future studies, it is recommended to conduct more in-depth studies on dynamic and real-time recovery, incorporating human factors into the modeling, multi-modal transportation coupling, optimization of other airport processes, combination of robust scheduling and airline recovery, addressing the stochasticity of parameters, and optimization algorithm improvement.</div></div>","PeriodicalId":10542,"journal":{"name":"Computers & Operations Research","volume":"175 ","pages":"Article 106915"},"PeriodicalIF":4.1000,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Operations Research","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0305054824003873","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Flights are vulnerable to unforeseen factors, such as adverse weather, airport flow control, crew absence, unexpected aircraft maintenance, and pandemic, all of which can cause disruptions in flight schedules. Consequently, managers need to reallocate relevant resources to ensure that the airport can return to normal operations on the basis of minimum cost, a challenge known as the airline recovery problem. Airline recovery is an active research area, with a lot of publications in recent years. To provide a comprehensive overview of airline recovery, first, keywords are selected to search for relevant studies, then existing studies are analyzed in terms of the number of papers, keywords, and sources. The study then delves into an analysis of passenger-oriented airline recovery problems on both traditional and novel recovery strategies. A detailed exploration of novel recovery strategies is conducted to uncover new insights and potential solutions for addressing airline recovery problems. Furthermore, this study investigates recovery strategies for cargo-oriented airline operations, comparing them with those designed for passenger-oriented airline recovery to offer insights for future studies on airline recovery problems. Finally, conclusions are drawn and future study directions are provided. For future studies, it is recommended to conduct more in-depth studies on dynamic and real-time recovery, incorporating human factors into the modeling, multi-modal transportation coupling, optimization of other airport processes, combination of robust scheduling and airline recovery, addressing the stochasticity of parameters, and optimization algorithm improvement.
期刊介绍:
Operations research and computers meet in a large number of scientific fields, many of which are of vital current concern to our troubled society. These include, among others, ecology, transportation, safety, reliability, urban planning, economics, inventory control, investment strategy and logistics (including reverse logistics). Computers & Operations Research provides an international forum for the application of computers and operations research techniques to problems in these and related fields.