Joint Ship Schedule Design and Sailing Speed Optimization for a Single Inland Shipping Service with Uncertain Dam Transit Time

Published Online:https://doi.org/10.1287/trsc.2017.0808

References

  • Agarwal R, Ergun O (2008) The advantages of solid fat content determination in cocoa butter and cocoa butter equivalents by the Karlshamns method. Transportation Sci. 42(2):175–196.LinkGoogle Scholar
  • Agarwal R, Ergun O (2010) Network design and allocation mechanisms for carrier alliances in liner shipping. Oper. Res. 58(6):1726–1742.LinkGoogle Scholar
  • Brouer BD, Alvarez JF, Plum CEM, Pisinger D, Sigurd MM (2014) A base integer programming model and benchmark suite for liner shipping network design. Transportation Sci. 48(2):281–312.LinkGoogle Scholar
  • Crainic TG, Gendreau M, Dejax P (1993) Dynamic and stochastic models for the allocation of empty containers. Oper. Res. 41(1):102–126.LinkGoogle Scholar
  • Erera AL, Morales JC, Savelsbergh M (2009) Robust optimization for empty repositioning problems. Oper. Res. 57(2):468–483.LinkGoogle Scholar
  • Fagerholt K, Psaraftis HN (2015) On two speed optimization problems for ships that sail in and out of emission control areas. Transportation Res. Part D: Transport Environ. 39:56–64.CrossrefGoogle Scholar
  • Frank H (1969) Shortest paths in probabilistic graphs. Oper. Res. 17(4):583–599.LinkGoogle Scholar
  • Geoffrion AM (1967) Solving bicriterion mathematical programs. Oper. Res. 15(1):39–54.LinkGoogle Scholar
  • Hermans J (2010) Optimization of inland shipping. J. Scheduling 17(4):305–319.CrossrefGoogle Scholar
  • Hwang HS, Visoldilokpun S, Rosenberger JM (2008) A branch-and-price-and-cut method for ship scheduling with limited risk. Transportation Sci. 42(3):336–351.LinkGoogle Scholar
  • Kontovas CA, Psaraftis HN (2011) Reduction of emissions along the maritime intermodal container chain: Operational models and policies. Maritime Policy Management 38(4):451–469.CrossrefGoogle Scholar
  • Meng Q, Du Y, Wang Y (2016) Shipping log data based container ship fuel efficiency modeling. Transportation Res. Part B: Methodology 83:207–229.CrossrefGoogle Scholar
  • Meng Q, Wang T, Wang S (2012) Short-term liner ship fleet planning with container transshipment and uncertain demand. Eur. J. Oper. Res. 223(1):96–105.CrossrefGoogle Scholar
  • Meng Q, Wang S, Andersson H, Thun K (2013) Containership routing and scheduling in liner shipping: Overview and future research directions. Transportation Sci. 48(2):265–280.LinkGoogle Scholar
  • Ng MW (2015) Container vessel fleet deployment for liner shipping with stochastic dependencies in shipping demand. Transportation Res. Part B: Methodology 74:79–87.CrossrefGoogle Scholar
  • Nie YM, Wu X (2009) Shortest path problem considering on-time arrival probability. Transportation Res. Part B: Methodology 43(6):597–613.CrossrefGoogle Scholar
  • Notteboom T (2006) The time factor in liner shipping services. Maritime Econom. Logist. 8(1):19–39.CrossrefGoogle Scholar
  • Qi X, Song DP (2012) Minimizing fuel emissions by optimizing vessel schedules in liner shipping with uncertain port times. Transportation Res. Part E: Logist. Transportation Rev. 48(4):863–880.CrossrefGoogle Scholar
  • Rohacs J, Somongati G (2007) The role of inland waterway navigation in a sustainable transport system. Transport 22(3):148–153.CrossrefGoogle Scholar
  • Ronen D (1986) Short-term scheduling of vessels for shipping bulk or semi-bulk commodities originating in a single area. Oper. Res. 34(1):164–173.LinkGoogle Scholar
  • Ronen D (2011) The effect of oil price on containership speed and fleet size. J. Oper. Res. Soc. 62(1):211–216.CrossrefGoogle Scholar
  • Stoer J, Bulirsch R (2013) Introduction to Numerical Analysis, Vol. 12 (Springer Science and Business Media, New York).Google Scholar
  • Sun Z, Zheng J (2016) Finding potential hub locations for liner shipping. Transportation Res. Part B: Methodology 93:750–761.CrossrefGoogle Scholar
  • Tan Z, Li W, Zhang X, Yang H (2015) Service charge and capacity selection of an inland river port with location-dependent shipping cost and service congestion. Transportation Res. Part E: Logist. Transportation Rev. 76:13–33.CrossrefGoogle Scholar
  • Ting SC, Tzeng GH (2003) Ship scheduling and cost analysis for route planning in liner shipping. Maritime Econom. Logist. 5(4):378–392.CrossrefGoogle Scholar
  • Veenstra A, Notteboom T (2011) The development of the Yangtze River container port system. J. Transport Geography 19(4):772–781.CrossrefGoogle Scholar
  • Wang JJ, Slack B (2000) The evolution of a regional container port system: The Pearl River Delta. J. Transport Geography 8(4):263–275.CrossrefGoogle Scholar
  • Wang S, Meng Q (2011) Schedule design and container routing in liner shipping. Transportation Res. Record J. Transportation Res. Board 2222:25–33.CrossrefGoogle Scholar
  • Wang S, Meng Q (2012a) Liner ship route schedule design with sea contingency time and port time uncertainty. Transportation Res. Part B: Methodology 46(5):615–633.CrossrefGoogle Scholar
  • Wang S, Meng Q (2012b) Robust schedule design for liner shipping services. Transportation Res. Part E: Logist. Transportation Rev. 48(6):1093–1106.CrossrefGoogle Scholar
  • Wang S, Meng Q (2012c) Sailing speed optimization for container ships in a liner shipping network. Transportation Res. Part E: Logist. Transportation Rev. 48(3):701–714.CrossrefGoogle Scholar
  • Wang S, Wang X (2016) A polynomial-time algorithm for sailing speed optimization with containership resource sharing. Transportation Res. Part B: Methodology 93:394–405.CrossrefGoogle Scholar
  • Wang Y, Meng Q, Du Y (2015) Liner container seasonal shipping revenue management. Transportation Res. Part B: Methodology 82:141–161.CrossrefGoogle Scholar
  • Wang S, Meng Q, Lee CY (2016) Liner container assignment model with transit-time-sensitive container shipment demand and its applications. Transportation Res. Part B: Methodology 90:135–155.CrossrefGoogle Scholar
  • Yao Z, Ng SH, Lee LH (2012) A study on bunker fuel management for the shipping liner services. Comput. Oper. Res. 39(5):1160–1172.CrossrefGoogle Scholar
  • Zheng J, Yang D (2016) Hub-and-spoke network design for container shipping along the Yangtze River. J. Transport Geography 55:51–57.CrossrefGoogle Scholar
  • Zheng J, Gao Z, Yang D, Sun Z (2015) Network design and capacity exchange for liner alliances with fixed and variable container demands. Transportation Sci. 49(4):886–899.LinkGoogle Scholar
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