The Vessel Schedule Recovery Problem (VSRP) – A MIP model for handling disruptions in liner shipping
Tài liệu tham khảo
Alderton, 2004
Álvarez, 2009, Joint routing and deployment of a fleet of container vessels, Maritime Economics & Logistics, 11, 186, 10.1057/mel.2009.5
Michael Ball, Cynthia Barnhart, Martin Dresner, Mark Hansen, Kevin Neels, Amedeo Odoni, Everett Peterson, Lance Sherry, Antonio Trani, Bo Zou, Total delay impact study – A comprehensive assessment of the costs and impacts of flight delay in the united states. Technical report, National Center of Excellence for Aviation Operations Research (NEXTOR), 2010.
Cynthia Barnhart, The Global Airline Industry, chapter 7: Airline Schedule Optimization. Peter Belobaba, Amedeo Odoni, and Cynthia Barnhart for John Wiley and Sons, 2009.
Bratu, 2006, Flight operations recovery: new approaches considering passenger recovery, Journal of Scheduling, 9, 279, 10.1007/s10951-006-6781-0
Marielle Christiansen, Kjetil Fagerholt, Bjørn Nygreen, David Ronen, Handbooks in Operations Research & Management Science: Transportation, vol. 14, Chapter 4: Maritime Transport. Elseview, 2007.
Christiansen, 2004, Ship routing and scheduling: status and perspectives, Transportation Science, 38, 1, 10.1287/trsc.1030.0036
Jens Clausen, Allan Larsen, Jesper Larsen, Natalia J. Rezanova, Disruption management in the airline industry - concepts, models and methods, Technical report, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2009.
Dominik Dienst, Stefan Røpke, Bo Vaaben, Realistic models and computational results for disruption management in the airline industry, Technical report, Technical University of Denmark, 2012.
Jakob Dirksen, Disruption management in liner shipping, Master’s thesis, Technical University of Denmark, 2011.
Du, 2011, Berth allocation considering fuel consumption and vessel emissions, Transportation Research Part E: Logistics and Transportation Review, 47, 1021, 10.1016/j.tre.2011.05.011
Ehrgott, 2005
Frangioni, 2009, 0–1 reformulations of the multicommodity capacitated network design problem, Discrete Applied Mathematics, 157, 1229, 10.1016/j.dam.2008.04.022
Jarrah, 1993, A decision support framework for airline flight cancellations and delays, Transportation Science, 27, 266, 10.1287/trsc.27.3.266
JEC, Your flight has been delayed again – Flight delays cost passenger, airlines, and the u.s. economy billions, Technical report, Joint Economic Committee (JEC), Maj 2008. Chairman, Senator Charles E. Schumer. Vice Chair, Rep. Carolyn B. Maloney.
Karina H. Kjeldsen, Routing and Scheduling in Liner Shipping. PhD thesis, Aarhus University, 2012.
Kohl, 2007, Airline disruption management–perspectives, experiences and outlook, Journal of Air Transport Management, 13, 149, 10.1016/j.jairtraman.2007.01.001
Qiang Li, Shiqi Tong, Chunxia Yang, Nuo Wang, Optimization of operation scheme of container terminal based on disruption management. International Conference on Transportation Engineering 2009 (Conference Proceeding Paper), 2009, pp. 3477–3482.
Berit Løfstedt, J. Fernando Alvarez, Christian Edinger Munk Plum, David Pisinger, Mikkel Mühldorf Sigurd, An integer programming model and benchmark suite for liner shipping network design, Technical report, DTU Management Engineering, Technical University of Denmark and Maersk Line, Copenhagen, 2011.
Maersk, Slow steaming here to stay. News on Maersk Homepage, September 1, 2010. <http://www.maersk.com/AboutMaersk/News/Pages/20100901-145240.aspx> (on 01.06.11).
Lavanya Marla, Bo Vaaben, Cynthia Barnhart, Integrated disruption management and flight planning to trade off delays and fuel burn, Technical report, Technical University of Denmark, 2011.
Notteboom, 2006, The time factor in liner shipping services, Maritime Economics and Logistics, 8, 19, 10.1057/palgrave.mel.9100148
Notteboom, 2009, The effect of high fuel costs on liner service configuration in container shipping, Journal of Transport Geography, 17, 325, 10.1016/j.jtrangeo.2008.05.003
Rakshit, 1996, System operations adviser: a real-time decision support system for managing airline operations at united airlines, Interfaces, 26, 50, 10.1287/inte.26.2.50
Elisabeth Rosenthal, Slow trip across sea aids profit and environment. The New York Times, February 16, 2010. <http://www.nytimes.com/2010/02/17/business/energy-environment/17speed.html> (on 17.03.11).
Stopford, 2009
Teodorović, 1984, Optimal dispatching strategy on an airline network after a schedule perturbation, European Journal of Operational Research, 15, 178, 10.1016/0377-2217(84)90207-8
Thengvall, 2000, Balancing user preferences for aircraft schedule recovery during irregular operations, IEE Transactions, 32, 181, 10.1080/07408170008963891
Thengvall, 2003, A bundle algorithm approach for the aircraft schedule recovery problem during hub closures, Transportation Science, 37, 392, 10.1287/trsc.37.4.392.23281
Thengvall, 2001, Multiple fleet aircraft schedule recovery following hub closures, Transportation Research Part A: Policy and Practice, 35, 289, 10.1016/S0965-8564(99)00059-2
UNCTAD, Review of maritime transport 2010, 2010. United Nations Conference on Trade And Development, <http://www.unctad.org/en/docs/rmt2010_en.pdf>.
Bo Vaaben, Antonio Alves, Disruption management – Passenger re-accommodation strategies. Presented at AGIFORS Airline Operations, 2009. <http://www.agifors.org/studygrp/opsctl/2009>.
Yan, 1996, A decision support framework for handling schedule perturbation, Transportation Research Part B: Methodological, 30, 405, 10.1016/0191-2615(96)00013-6
Chunxia Yang, Nuo Wang, Bing Zhao, A berth scheduling problem under sailing schedule disruption. ICCTP 2010: Integrated Transportation Systems (Conference Proceeding Paper), 2010, pp. 1529–1536.
Yu, 2003, A new era for crew recovery at continental airlines, Interfaces, 33, 5, 10.1287/inte.33.1.5.12720
Yu, 2004