Profit-based maritime container assignment models for liner shipping networks

Agarwal, 2008, Ship scheduling and network design for cargo routing in liner shipping, Transportation Science, 42, 175, 10.1287/trsc.1070.0205

Alvarez, 2009, Joint routing and deployment of a fleet of container vessels, Maritime Economics and Logistics, 11, 186, 10.1057/mel.2009.5

Bazarra, 2006

Bell, 2011, A frequency-based maritime container assignment model, Transportation Research Part B, 45, 1152, 10.1016/j.trb.2011.04.002

Bell, 2013, A cost-based maritime container assignment model, Transportation Research Part B, 58, 58, 10.1016/j.trb.2013.09.006

Brouer, 2014, A base integer programming model and benchmark suite for linear shipping network design, Transportation Science, 48, 281, 10.1287/trsc.2013.0471

Brouer, 2011, Liner shipping cargo allocation with repositioning of empty containers, INFOR, 49, 109

Cheung, 1998, A two-stage stochastic network model and solution methods for the dynamic empty container allocation problem, Transportation Science, 32, 142, 10.1287/trsc.32.2.142

Choong, 2002, Empty container management for intermodal transportation networks, Transportation Research Part E, 38, 423, 10.1016/S1366-5545(02)00018-2

Christiansen, 2013, Ship routing and scheduling in the new millennium, European Journal of Operational Research, 228, 467, 10.1016/j.ejor.2012.12.002

Christiansen, 2004, Ship routing and scheduling: status and perspectives, Transportation Science, 38, 1, 10.1287/trsc.1030.0036

Crainic, 1993, Dynamic and stochastic models for the allocation of empty containers, Operations Research, 41, 102, 10.1287/opre.41.1.102

Dong, 2009, Container fleet sizing and empty repositioning in liner shipping systems, Transportation Research Part E, 45, 860, 10.1016/j.tre.2009.05.001

Dong, 2012, Quantifying the impact of inland transport times on container fleet sizing in liner shipping services with uncertainties, OR Spectrum, 34, 155, 10.1007/s00291-009-0185-4

Erera, 2005, Global intermodal tank container management for the chemical industry, Transportation Research Part E, 41, 551, 10.1016/j.tre.2005.06.004

Fagerholt, 1999, Optimal fleet design in a ship routing problem, International Transactions in Operational Research, 6, 453, 10.1111/j.1475-3995.1999.tb00167.x

Fagerholt, 2004, Designing optimal routes in a liner shipping problem, Maritime Policy & Management, 31, 259, 10.1080/0308883042000259819

Fagerholt, 2009, Fleet deployment in liner shipping: a case study, Maritime Policy & Management, 36, 397, 10.1080/03088830903187143

Imai, 2013, Marine container terminal configurations for efficient handling of mega-containerships, Transportation Research Part E, 49, 141, 10.1016/j.tre.2012.07.006

Lam, 2007, An approximate dynamic programming approach for the empty container allocation problem, Transportation Research Part C, 15, 265, 10.1016/j.trc.2007.04.005

Meng, 2011, Liner shipping service network design with empty container repositioning, Transportation Research Part E, 47, 695, 10.1016/j.tre.2011.02.004

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, 2014, Containership routing and scheduling in liner shipping: overview and future research directions, Transportation Science, 48, 265, 10.1287/trsc.2013.0461

Meng, 2012, Short-term liner ship fleet planning with container transshipment and uncertain container shipment demand, European Journal of Operational Research, 223, 96, 10.1016/j.ejor.2012.06.025

Mulder, 2014, Methods for strategic liner shipping network design, European Journal of Operational Research, 235, 367, 10.1016/j.ejor.2013.09.041

Ng, 2014, Distribution-free vessel deployment for liner shipping, European Journal of Operational Research, 238, 858, 10.1016/j.ejor.2014.04.019

Psaraftis, 2012, Market-based measures for greenhouse gas emissions from ships: a review, WMU Journal of Maritime Affairs, 11, 211, 10.1007/s13437-012-0030-5

Psaraftis, 2010, Balancing the economic and environmental performance of maritime transportation, Transportation Research Part D, 15, 458, 10.1016/j.trd.2010.05.001

Psaraftis, 2013, Speed models for energy-efficient maritime transportation: a taxonomy and survey, Transportation Research Part C, 26, 331, 10.1016/j.trc.2012.09.012

Psaraftis, 2014, Ship speed optimization: concepts, models and combined speed-routing scenarios, Transportation Research Part C, 44, 52, 10.1016/j.trc.2014.03.001

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

Reinhardt, 2012, A branch and cut algorithm for the container shipping network design problem, Flexible Services and Manufacturing Journal, 24, 349, 10.1007/s10696-011-9105-4

Sheffi, 1985

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

Song, 2011, Effectiveness of an empty container repositioning policy with flexible destination ports, Transport Policy, 18, 92, 10.1016/j.tranpol.2010.06.004

Song, 2012, Cargo routing and empty container repositioning in multiple shipping service routes, Transportation Research Part B, 46, 1556, 10.1016/j.trb.2012.08.003

Song, 2013, Long-haul liner service route design with ship deployment and empty container repositioning, Transportation Research Part B, 55, 188, 10.1016/j.trb.2013.06.012

Song, 2010, A fluid flow model for empty container repositioning policy with a single port and stochastic demand, SIAM Journal on Control and Optimization, 48, 3623, 10.1137/09075785X

UNCTAD, 2012. Review of Maritime Transportation 2012. Paper presented at the United Nations Conference on Trade and Development, New York and Geneva. URL http://unctad.org/en/PublicationsLibrary/rmt2012_en.pdf

Wang, 2014, A novel hybrid-link-based container routing model, Transportation Research Part E, 61, 165, 10.1016/j.tre.2013.11.006

Wang, 2011, Schedule design and container routing in liner shipping, Transportation Research Record, 2222, 25, 10.3141/2222-04

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

Wang, 2013, Reversing port rotation directions in a container liner shipping network, Transportation Research Part B, 50, 61, 10.1016/j.trb.2013.01.001

Wang, 2013, Liner ship route capacity utilization estimation with a bounded polyhedral container shipment demand pattern, Transportation Research Part B, 47, 57, 10.1016/j.trb.2012.07.011

Wang, 2013, Containership scheduling with transit-time-sensitive container shipment demand, Transportation Research Part B, 54, 68, 10.1016/j.trb.2013.04.003

Wang, 2012, Bisection-based trial-and-error implementation of marginal-cost pricing and tradable credit schemes, Transportation Research Part B, 46, 1085, 10.1016/j.trb.2012.04.002

Yang, 2004, Trial-and-error implementation of marginal-cost pricing on networks in the absence of demand functions, Transportation Research Part B, 38, 477, 10.1016/S0191-2615(03)00077-8

Zhang, 2013, Multi-period empty container repositioning with stochastic demand and lost sales, Journal of the Operational Research Society, 65, 302, 10.1057/jors.2012.187