相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Aircraft routing and crew pairing: Updated algorithms at Air France
Axel Parmentier et al.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE (2020)
A branch-and-price heuristic for the crew pairing problem with language constraints
Frederic Quesnel et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2020)
Improving Air Crew Rostering by Considering Crew Preferences in the Crew Pairing Problem
Frederic Quesnel et al.
TRANSPORTATION SCIENCE (2020)
Data science and analytics in aviation
Sai-Ho Chung et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2020)
A Slot-Scheduling Mechanism at Congested Airports that Incorporates Efficiency, Fairness, and Airline Preferences
Jamie Fairbrother et al.
TRANSPORTATION SCIENCE (2020)
Innovative Bring-Service-Near-Your-Home operations under Corona-Virus (COVID-19/SARS-CoV-2) outbreak: Can logistics become the Messiah?
Tsan-Ming Choi
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2020)
Cascade neural network algorithm with analytical connection weights determination for modelling operations and energy applications
Zhengxu Wang et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2020)
Combating lead-time uncertainty in global supply chain's shipment-assignment: Is it wise to be risk-averse?
Xuting Sun et al.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2020)
A Stochastic Integer Programming Approach to Air Traffic Scheduling and Operations
Kai Wang et al.
OPERATIONS RESEARCH (2020)
Evaluating the price effects of two airline mergers in China
Wenliang Ma et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2020)
Robust airline crew scheduling with flight flying time variability
Xin Wen et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2020)
Optimal Pricing Decisions of Competing Air-Cargo-Carrier Systems-Impacts of Risk Aversion, Demand, and Cost Uncertainties
Xin Wen et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2020)
Airline network competition in inter-continental market
Ningwen Tu et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2020)
Note: Mayday, Mayday, Mayday! Responding to environmental shocks: Insights on global airlines ' responses to COVID-19
Joseph Amankwah-Amoah
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2020)
Data-driven analysis of resilience in airline networks
Allen Wong et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2020)
Operational Risk in Airline Crew Scheduling: Do Features of Flight Delays Matter?
Xuting Sun et al.
DECISION SCIENCES (2020)
Modeling the effects of airline slot hoarding behavior under the grandfather rights with use-it-or-lose-it rule
Dian Sheng et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2019)
Modelling the delay propagation effects of multiple resource connections in an airline network using a Bayesian network model
Cheng-Lung Wu et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2019)
Airport congestion delays and airline networks
Chunan Wang et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2019)
Why do airlines prefer multi-hub networks?
Chunan Wang et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2019)
The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era
Tsan-Ming Choi et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2019)
Flying with(out) a safety net: Financial hedging in the airline industry
Rico Merkert et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2019)
Airline regulation and common markets in Sub-Saharan Africa
Kenneth Button et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2019)
A Robust Pairing Model for Airline Crew Scheduling
David Antunes et al.
TRANSPORTATION SCIENCE (2019)
Combining Benders' Decomposition and Column Generation for Integrated Crew Pairing and Personalized Crew Assignment Problems
Vahid Zeighami et al.
TRANSPORTATION SCIENCE (2019)
Machine learning facilitated business intelligence (Part I) Neural networks learning algorithms and applications
Waqar Ahmed Khan et al.
INDUSTRIAL MANAGEMENT & DATA SYSTEMS (2019)
Machine learning facilitated business intelligence (Part II) Neural networks optimization techniques and applications
Waqar Ahmed Khan et al.
INDUSTRIAL MANAGEMENT & DATA SYSTEMS (2019)
How Price Dispersion Changes When Upgrades Are Introduced: Theory and Empirical Evidence from the Airline Industry
Yao Cui et al.
MANAGEMENT SCIENCE (2019)
A survey of the literature on airline crew scheduling
Muhammet Deveci et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2018)
The impact of liner shipping unreliability on the production-distribution scheduling of a decentralized manufacturing system
X. T. Sun et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2018)
On the impact of jet fuel cost on airlines' capacity choice: Evidence from the US domestic markets
Soheil Sibdari et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2018)
Cascading Delay Risk of Airline Workforce Deployments with Crew Pairing and Schedule Optimization
Sai Ho Chung et al.
RISK ANALYSIS (2017)
Airline schedule planning: a review and future directions
Abdelrahman E. E. Eltoukhy et al.
INDUSTRIAL MANAGEMENT & DATA SYSTEMS (2017)
Do Bags Fly Free? An Empirical Analysis of the Operational Implications of Airline Baggage Fees
Mariana Nicolae et al.
MANAGEMENT SCIENCE (2017)
Behavioral analysis of airline scheduled block time adjustment
Lei Kang et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2017)
Profitability change in the global airline industry
Davide Scotti et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2017)
Robust aircraft sequencing and scheduling problem with arrival/departure delay using the min-max regret approach
K. K. H. Ng et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2017)
The spatial scope of airline competition
Mark Lijesen et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2017)
Flight Network-Based Approach for Integrated Airline Recovery with Cruise Speed Control
Ugur Arikan et al.
TRANSPORTATION SCIENCE (2017)
Integrated Airline Scheduling: Considering Competition Effects and the Entry of the High Speed Rail
Luis Cadarso et al.
TRANSPORTATION SCIENCE (2017)
Robust Scheduling Practices in the US Airline Industry: Costs, Returns, and Inefficiencies
Scott E. Atkinson et al.
MANAGEMENT SCIENCE (2016)
Branch-and-price-and-cut for the manpower routing problem with synchronization constraints
Zhixing Luo et al.
NAVAL RESEARCH LOGISTICS (2016)
Managing disruption risk in express logistics via proactive planning
S. H. Chung et al.
INDUSTRIAL MANAGEMENT & DATA SYSTEMS (2015)
Solving a large-scale crew pairing problem
Guenes Erdogan et al.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY (2015)
Integrated scheduling of a multi-product multi-factory manufacturing system with maritime transport limits
X. T. Sun et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2015)
Aircraft Rescheduling with Cruise Speed Control
M. Selim Akturk et al.
OPERATIONS RESEARCH (2014)
A hybrid meta-heuristic algorithm for optimization of crew scheduling
A. Azadeh et al.
APPLIED SOFT COMPUTING (2013)
Aircrew pairings with possible repetitions of the same flight number
Mohammed Saddoune et al.
COMPUTERS & OPERATIONS RESEARCH (2013)
An Optimization Approach to Airline Integrated Recovery
Jon D. Petersen et al.
TRANSPORTATION SCIENCE (2012)
Revenue Management with Aircraft Reassignment Flexibility
Douglas R. Bish et al.
NAVAL RESEARCH LOGISTICS (2011)
Disruption management in the airline industry-Concepts, models and methods
Jens Clausen et al.
COMPUTERS & OPERATIONS RESEARCH (2010)
Robust crew pairing for managing extra flights
Hatice Tekiner et al.
COMPUTERS & OPERATIONS RESEARCH (2009)
Dynamic Airline Scheduling
Hai Jiang et al.
TRANSPORTATION SCIENCE (2009)
An integrated decision support tool for airlines schedule recovery during irregular operations
Khaled F. Abdelghany et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2008)
Airline crew scheduling from planning to operations
Claude P. Medard et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2007)
Robust airline crew pairing: Move-up crews
Sergey Shebalov et al.
TRANSPORTATION SCIENCE (2006)
A Stochastic programming approach to the airline crew scheduling problem
JW Yen et al.
TRANSPORTATION SCIENCE (2006)
Airline crew scheduling: State-of-the-art
B Gopalakrishnan et al.
ANNALS OF OPERATIONS RESEARCH (2005)
A network model for airline cabin crew scheduling
SY Yan et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2002)
Optimal construction of airline individual crew pairings
S Yan et al.
COMPUTERS & OPERATIONS RESEARCH (2002)
Airline crew recovery
L Lettovsky et al.
TRANSPORTATION SCIENCE (2000)
分享论文
