Bunker Purchasing in Liner Shipping

The cost for bunker fuel represents a major part of the daily running costs of liner shipping vessels. The vessels, sailing on a fixed roundtrip of ports, can lift bunker at these ports, but prices in each port may be differing and fluctuating. The stock of bunker on a vessel is subject to a number of operational constraints such as capacity limits, reserve requirements and sulphur content. Contracts are often used for bunker purchasing, ensuring supply and often giving a discounted price. A contract can supply any vessel in a period and port, and is thus a shared resource between vessels, which must be distributed optimally to reduce overall costs. An overview of formulations and solution methods is given, and computational results are reported for some representative models.

[1]  David Pisinger,et al.  Bunker purchasing with contracts , 2012, ICCL 2012.

[2]  D. Ronen,et al.  The effect of oil price on containership speed and fleet size , 2011, J. Oper. Res. Soc..

[3]  Zhiyuan Liu,et al.  Bunker consumption optimization methods in shipping: A critical review and extensions , 2013 .

[4]  Qiang Meng,et al.  Robust schedule design for liner shipping services , 2012 .

[5]  Richard D. Wollmer,et al.  A Fuel Management Model for the Airline Industry , 1992, Oper. Res..

[6]  Hwa-Joong Kim,et al.  An epsilon-optimal algorithm considering greenhouse gas emissions for the management of a ship’s bunker fuel , 2012 .

[7]  James J. Corbett,et al.  The effectiveness and costs of speed reductions on emissions from international shipping , 2009 .

[8]  T. Notteboom,et al.  The effect of high fuel costs on liner service configuration in container shipping , 2009 .

[9]  David Pisinger,et al.  A service flow model for the liner shipping network design problem , 2014, Eur. J. Oper. Res..

[10]  Kjetil Fagerholt,et al.  Ship routing and scheduling in the new millennium , 2013, Eur. J. Oper. Res..

[11]  Sergei Savin,et al.  Going Bunkers: The Joint Route Selection and Refueling Problem , 2009, Manuf. Serv. Oper. Manag..

[12]  R. E. Marsten,et al.  The Boxstep Method for Large-Scale Optimization , 2011, Oper. Res..

[13]  Manuel Acosta,et al.  Bunkering competition and competitiveness at the ports of the Gibraltar Strait , 2011 .

[14]  H.-J. Kim,et al.  A Lagrangian heuristic for determining the speed and bunkering port of a ship , 2014, J. Oper. Res. Soc..

[15]  Qiang Meng,et al.  Network Design for Shipping Service of Large-Scale Intermodal Liners , 2012 .

[16]  Khaled Abdelghany,et al.  A Model for the Airlines' Fuel Management Strategies , 2005 .

[17]  David Pisinger,et al.  A Base Integer Programming Model and Benchmark Suite for Liner-Shipping Network Design , 2014, Transp. Sci..

[18]  I. Karimi,et al.  Operation Planning of Multiparcel Tankers under Fuel Price Uncertainty , 2010 .

[19]  Kjetil Fagerholt,et al.  Ship Routing and Scheduling: Status and Perspectives , 2004, Transp. Sci..

[20]  Yoshinori Suzuki,et al.  A new truck-routing approach for reducing fuel consumption and pollutants emission , 2011 .

[21]  Kjetil Fagerholt,et al.  Chapter 4 Maritime Transportation , 2007, Transportation.

[22]  Loo Hay Lee,et al.  Dynamic determination of vessel speed and selection of bunkering ports for liner shipping under stochastic environment , 2014, OR Spectr..

[23]  Shieu-Hong Lin,et al.  Finding Optimal Refueling Policies in Transportation Networks , 2008, AAIM.

[24]  Loo Hay Lee,et al.  A study on bunker fuel management for the shipping liner services , 2012, Comput. Oper. Res..

[25]  Inge Norstad,et al.  Reducing fuel emissions by optimizing speed on shipping routes , 2010, J. Oper. Res. Soc..

[26]  Angelos Boutsikas The bunkering industry and its effect on shipping tanker operations , 2004 .

[27]  Yoshinori Suzuki,et al.  A generic model of motor‐carrier fuel optimization , 2008 .

[28]  Jesper Larsen,et al.  Tramp ship routing and scheduling with integrated bunker optimization , 2014, EURO J. Transp. Logist..