Risk management in liner ship fleet deployment: A joint chance constrained programming model
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Adland, 2008, Charter market default risk: a conceptual approach, Transportation Research Part E, 44, 152, 10.1016/j.tre.2006.06.002
Bell, 2011, A frequency-based maritime container assignment model, Transportation Research Part B, 45, 1152, 10.1016/j.trb.2011.04.002
Ben-Tal, 2000, Robust solutions of linear programming problems contaminated with uncertain data, Mathematical Programming, 88, 411, 10.1007/PL00011380
Charnes, 1958, Cost horizons and certainty equivalents: an approach to stochastic programming of heating oil, Management Science, 4, 235, 10.1287/mnsc.4.3.235
Cho, 1996, Optimal liner fleet routing strategies, Maritime Policy and Management, 23, 249, 10.1080/03088839600000087
Christiansen, 2004, Ship routing and scheduling: status and perspectives, Transportation Science, 38, 1, 10.1287/trsc.1030.0036
Christiansen, 2007, Maritime transportation, vol. 14, 189
Dentcheva, 2000, Concavity and efficient points of discrete distribution in probabilistic programming, Mathematical Programming, 89, 55, 10.1007/PL00011393
Gelareh, 2010, A novel modeling approach for the fleet deployment problem within a short-term planning horizon, Transportation Research Part E, 46, 76, 10.1016/j.tre.2009.06.004
Hong, 2011, Sequential convex approximation to joint chance constrained programs: a Monte Carlo approach, Operations Research, 59, 617, 10.1287/opre.1100.0910
Jaramillo, 1991, Fleet deployment optimization for liner shipping. Part 2. Implementation and results, Maritime Policy and Management, 18, 235, 10.1080/03088839100000028
Kamath, 2002, A Bayesian approach to a dynamic inventory model under an unknown demand distribution, Computers and Operations Research, 29, 403, 10.1016/S0305-0548(00)00075-7
Luedtke, 2008, A sample approximation approach for optimization with probalistic constraints, SIAM Journal on Optimization, 19, 674, 10.1137/070702928
Menachof, 1996, Risk management methods for the liner shipping industry: the response to customer service demands for simplified tariffs, Journal of Business Logistics, 17, 259
Menachof, 2001, Risk management methods for the liner shipping industry: the case of the Bunker Adjustment Factor, Maritime Policy and Management, 28, 141, 10.1080/03088830118491
Meng, 2012, Liner ship fleet deployment with week-dependent container shipment demand, European Journal of Operational Research, 222, 241, 10.1016/j.ejor.2012.05.006
Meng, 2010, A chance constrained programming model for short-term liner ship fleet planning problems, Maritime Policy and Management, 37, 329, 10.1080/03088839.2010.486635
Meng, 2011, A scenario-based dynamic programming model for multi-period liner ship fleet planning, Transportation Research Part E, 47, 401, 10.1016/j.tre.2010.12.005
Meng, Q., Wang, S., Andersson, H., Thun, K., 2013. Containership routing and scheduling in liner shipping: overview and future research directions.Transportation Science. http://dx.doi.org/10.1287/trsc.2013.0461.
Miller, 1965, Chance-constrained programming with joint constraints, Operations Research, 13, 930, 10.1287/opre.13.6.930
Pagnoncelli, 2009, Sample average approximation method for chance constrained programming: theory and applications, Journal of Optimization Theory and Applications, 142, 399, 10.1007/s10957-009-9523-6
Perakis, 1991, Fleet deployment optimization for liner shipping. Part 1. Background, problem formulation and solution approaches, Maritime Policy and Management, 18, 183, 10.1080/03088839100000022
Powell, 1997, Fleet deployment optimization for liner shipping: an integer programming model, Maritime Policy and Management, 24, 183, 10.1080/03088839700000069
Prékopa, 2003, Probability programming, Vol. 10, 267
Qi, 2012, Minimizing fuel emissions by optimizing vessel schedules in liner shipping with uncertain port times, Transportation Research Part E, 48, 863, 10.1016/j.tre.2012.02.001
Ronen, 1983, Cargo ships routing and scheduling: survey of models and problems, European Journal of Operational Research, 12, 119, 10.1016/0377-2217(83)90215-1
Ronen, 1993, Ship scheduling: the last decade, European Journal of Operational Research, 71, 325, 10.1016/0377-2217(93)90343-L
Schinas, 2012, Cost assessment of environmental regulation and options for marine operators, Transportation Research Part C, 25, 81, 10.1016/j.trc.2012.05.002
Shintani, 2007, The container shipping network design problem with empty container repositioning, Transportation Research Part E, 43, 39, 10.1016/j.tre.2005.05.003
Stopford, 2009
UNCTAD, 2011. Review of Maritime Transportation 2011. Paper Presented at the United Nations Conference on Trade and Development. New York and Geneva, USA. <http://www.unctad.org/templates/webflyer.asp?docid=15876&intItemID=2068&lang=1&mode=downloads>.
Wang, 2012, Liner ship fleet deployment with container transshipment operations, Transportation Research Part E, 48, 470, 10.1016/j.tre.2011.10.011
Wang, 2012, Liner ship route schedule design with sea contingency time and port time uncertainty, Transportation Research Part B, 46, 615, 10.1016/j.trb.2012.01.003