Bunkering policies for a fuel bunker management problem for liner shipping networks

Agra, 2013, Mixed integer formulations for a short sea fuel oil distribution problem, Transportation Science, 47, 108, 10.1287/trsc.1120.0416

Alkahtani, 2019, A decision support system based on ontology and data mining to improve design using warranty data, Computers and Industrial Engineering, 128, 10.1016/j.cie.2018.04.033

Alp, 2011, CMARS and GAM & CQP- modern optimization methods applied to international credit default prediction, Journal of Computational and Applied Mathematics, 235, 4639, 10.1016/j.cam.2010.04.039

Aydin, 2017, Speed optimization and bunkering in liner shipping in the presence of uncertain service times and time windows at ports, European Journal of Operational Research, 259, 143, 10.1016/j.ejor.2016.10.002

Boukouvala, 2016, Global optimization advances in mixed-integer nonlinear programming, MINLP, and constrained derivative-free optimization, CDFO, European Journal of Operational Research, 252, 701, 10.1016/j.ejor.2015.12.018

De, 2017, Multiobjective approach for sustainable ship routing and scheduling with draft restrictions, IEEE Transactions on Engineering Management

De, 2017, Sustainable maritime inventory routing problem with time window constraints, Engineering Applications of Artificial Intelligence, 61, 77, 10.1016/j.engappai.2017.02.012

De, 2016, Composite particle algorithm for sustainable integrated dynamic ship routing and scheduling optimization, Computers & Industrial Engineering, 96, 201, 10.1016/j.cie.2016.04.002

De, 2018, A hybrid dynamic berth allocation planning problem with fuel costs considerations for container terminal port using chemical reaction optimization approach, Annals of Operations Research, 1

De, 2019, Hybridizing basic variable neighborhood search with particle swarm optimization for solving sustainable ship routing and bunker management problem, IEEE Transactions on Intelligent Transportation Systems, 1

De, 2019, Fuel bunker management strategies within sustainable container shipping operation considering disruption and recovery policies, IEEE Transactions on Engineering Management, 10.1109/TEM.2019.2923342

Erdogan, 2019, A novel approach for panel data: An ensemble of weighted functional margin SVM models, Information Sciences

Fagerholt, 2010, Reducing fuel emissions by optimizing speed on shipping routes, Journal of the Operational Research Society, 61, 523, 10.1057/jors.2009.77

Ghoreishi, 2015, An inventory model for non-instantaneous deteriorating items with partial backlogging, permissible delay in payments, inflation-and selling price-dependent demand and customer returns, Annals of Operations Research, 226, 221, 10.1007/s10479-014-1739-7

Ghosh, 2015, Bunkering decisions for a shipping liner in an uncertain environment with service contract, European Journal of Operational Research, 244, 792, 10.1016/j.ejor.2015.02.012

Hemmati, 2016, An iterative two-phase hybrid matheuristic for a multi-product short sea inventory-routing problem, European Journal of Operational Research, 252, 775, 10.1016/j.ejor.2016.01.060

Hvattum, 2013, Analysis of an exact algorithm for the vessel speed optimization problem, Networks, 62, 132, 10.1002/net.21503

Kara, 2019, Stability advances in robust portfolio optimization under parallelepiped uncertainty, Central European Journal of Operations Research, 27, 241, 10.1007/s10100-017-0508-5

Kim, 2014, A lagrangian heuristic for determining the speed and bunkering port of a ship, Journal of the Operational Research Society, 65, 747, 10.1057/jors.2012.185

Kim, 2012, An epsilon-optimal algorithm considering greenhouse gas emissions for the management of a ships bunker fuel, Transportation Research Part D: Transport and Environment, 17, 97, 10.1016/j.trd.2011.10.001

Krasko, 2017, Two-stage stochastic mixed-integer nonlinear programming model for post-wildfire debris flow hazard management: Mitigation and emergency evacuation, European Journal of Operational Research, 263, 265, 10.1016/j.ejor.2017.05.004

Meng, 2015, A tailored branch-and-price approach for a joint tramp ship routing and bunkering problem, Transportation Research Part B: Methodological, 72, 1, 10.1016/j.trb.2014.11.008

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

Özöugür Akyüz, 2016, Adapted infinite kernel learning by multi-local algorithm, International Journal of Pattern Recognition and Artificial Intelligence, 30

Paksoy, 2014, Environmentally conscious optimization of supply chain networks, Journal of the Operational Research Society, 65, 855, 10.1057/jors.2012.95

Pervin, 2018, Analysis of inventory control model with shortage under time-dependent demand and time-varying holding cost including stochastic deterioration, Annals of Operations Research, 260, 437, 10.1007/s10479-016-2355-5

Ronen, 2011, The effect of oil price on containership speed and fleet size, Journal of the Operational Research Society, 62, 211, 10.1057/jors.2009.169

Roy, 2017, Conic scalarization approach to solve multi-choice multi-objective transportation problem with interval goal, Annals of Operations Research, 253, 599, 10.1007/s10479-016-2283-4

Savku, 2014, Optimal control of stochastic hybrid models in the framework of regime switches, 371

Savku, 2018, A stochastic maximum principle for a markov regime-switching jump-diffusion model with delay and an application to finance, Journal of Optimization Theory and Applications, 179, 696, 10.1007/s10957-017-1159-3

Sheng, 2014, Dynamic determination of vessel speed and selection of bunkering ports for liner shipping under stochastic environment, OR Spectrum, 36, 455, 10.1007/s00291-012-0316-1

Taylan, 2019, C-Lasso estimator for generalized additive logistic regression based on B-Spline, 173

Taylan, 2019, CG-Lasso estimator for multivariate adaptive regression spline, 121

Vernimmen, 2007, Schedule unreliability in liner shipping: Origins and consequences for the hinterland supply chain, Maritime Economics & Logistics, 9, 193, 10.1057/palgrave.mel.9100182

Wang, 2016, Fundamental properties and pseudo-polynomial-time algorithm for network containership sailing speed optimization, European Journal of Operational Research, 250, 46, 10.1016/j.ejor.2015.10.052

Wang, 2012, Liner ship route schedule design with sea contingency time and port time uncertainty, Transportation Research Part B: Methodological, 46, 615, 10.1016/j.trb.2012.01.003

Wang, 2012, Sailing speed optimization for container ships in a liner shipping network, Transportation Research Part E: Logistics and Transportation Review, 48, 701, 10.1016/j.tre.2011.12.003

Wang, 2015, Robust bunker management for liner shipping networks, European Journal of Operational Research, 243, 789, 10.1016/j.ejor.2014.12.049

Wang, 2016, A polynomial-time algorithm for sailing speed optimization with containership resource sharing, Transportation Research Part B: Methodological, 93, 394, 10.1016/j.trb.2016.08.003

Yao, 2012, A study on bunker fuel management for the shipping liner services, Computers & Operations Research, 39, 1160, 10.1016/j.cor.2011.07.012

Zhen, 2017, Dynamic programming for optimal ship refueling decision, Transportation Research Part E: Logistics and Transportation Review, 100, 63, 10.1016/j.tre.2016.12.013