Planning for charters: A stochastic maritime fleet composition and deployment problem
Tài liệu tham khảo
Alvarez, 2011, Robust fleet sizing and deployment for industrial and independent bulk ocean shipping companies, INFOR: Inf Syst Oper Res, 49, 93
Andersson, 2015, Integrated maritime fleet deployment and speed optimization: case study from RoRo shipping, Comput Oper Res, 55, 233, 10.1016/j.cor.2014.03.017
Chopra, 2011, The effect of errors in means, variances, and covariances on optimal portfolio choice, 249
Fagerholt, 2010, A decision support methodology for strategic planning in maritime transportation, Omega, 38, 465, 10.1016/j.omega.2009.12.003
Fagerholt, 2009, Fleet deployment in liner shipping: a case study, Maritime Policy Manage, 36, 397, 10.1080/03088830903187143
Gelareh, 2010, A novel modeling approach for the fleet deployment problem within a short-term planning horizon, Transp Res Part E: Logistics Transp Rev, 46, 76, 10.1016/j.tre.2009.06.004
Gelareh, 2011, Fleet deployment, network design and hub location of liner shipping companies, Transp Res Part E: Logistics Transp Rev, 47, 947, 10.1016/j.tre.2011.03.002
Hoff, 2010, Industrial aspects and literature survey: fleet composition and routing, Comput Oper Res, 37, 2041, 10.1016/j.cor.2010.03.015
Høyland, 2003, A heuristic for moment-matching scenario generation, Comput Optim Appl, 24, 169, 10.1023/A:1021853807313
Kallberg, 1984, Mis-specifications in portfolio selection problems, 74
Kaut, 2007, Stability analysis of portfolio management with conditional value-at-risk, Quant Finance, 7, 397, 10.1080/14697680701483222
Kaut, 2007, Evaluation of scenario-generation methods for stochastic programming, Pacific J Optim, 3, 257
King, 2012, Modeling with Stochastic Programming, 10.1007/978-0-387-87817-1
Lium, 2007, Correlations in stochastic programming: a case from stochastic service network design, Asia Pacific J Oper Res, 24, 161, 10.1142/S0217595907001206
Loxton, 2012, A stochastic fleet composition problem, Comput Oper Res, 39, 3177, 10.1016/j.cor.2012.04.004
Meng, 2010, A chance constrained programming model for short-term liner ship fleet planning problems, Maritime Policy Manage, 37, 329, 10.1080/03088839.2010.486635
Mørch, 2017, Maximizing the rate of return on the capital employed in shipping capacity renewal, Omega, 67, 42, 10.1016/j.omega.2016.03.007
Odfjell. Annual report 2015. 2015. Report, Odfjell SE.
Pantuso, 2014, A survey on maritime fleet size and mix problems, Eur J Oper Res, 235, 341, 10.1016/j.ejor.2013.04.058
Pantuso, 2016, Uncertainty in fleet renewal: a case from maritime transportation, Transp Sci, 50, 390, 10.1287/trsc.2014.0566
Pantuso, 2017, Which uncertainty is important in multistage stochastic programmes? A case from maritime transportation, IMA J Manage Math, 28, 5
Perakis, 2002, Fleet operations optimization and fleet deployment, 580
Psaraftis, 2013, Speed models for energy-efficient maritime transportation: a taxonomy and survey, Transp Res Part C: Emerg Technol, 26, 331, 10.1016/j.trc.2012.09.012
Psaraftis, 2014, Ship speed optimization: concepts, models and combined speed-routing scenarios, Transp Res Part C: Emerg Technol, 44, 52, 10.1016/j.trc.2014.03.001
Ronen, 1982, The effect of oil price on the optimal speed of ships, J Oper Res Soc, 33, 1035, 10.1057/jors.1982.215
Ronen, 2011, The effect of oil price on containership speed and fleet size, J Oper Res Soc, 62, 211, 10.1057/jors.2009.169
Shyshou, 2010, A simulation study of the fleet sizing problem arising in offshore anchor handling operations, Eur J Oper Res, 203, 230, 10.1016/j.ejor.2009.07.012
Stopford, 2009
UNCTAD, 2010
UNCTAD, 2015
Wang, 2012, Liner ship fleet deployment with container transshipment operations, Transp Res Part E: Logistics Transp Rev, 48, 470, 10.1016/j.tre.2011.10.011
Wang, 2013, Risk management in liner ship fleet deployment: a joint chance constrained programming model, Transp Res Part E: Logistics Transp Rev, 60, 1, 10.1016/j.tre.2013.09.001
Wang, 2014
Wang, 2016, Stochastic scheduled service network design in the presence of a spot market for excess capacity, EURO J Transp Logistics, 5, 393, 10.1007/s13676-015-0089-1