Liquefied Natural Gas Ship Route Planning Model Considering Market Trend Change

Marine systems are complex and through the analysis of their reliability it is necessary to observe the reliability of their subsystems and components. With regard to the fact that the reliability is functionally dependent on faults, for the purpose of this study special attention has been given to possible faults on the heavy fuel oil supply pump of a two-stroke marine diesel engine MAN B&W 5L90MC. A deductive approach to reliability analysis, i.e. fault tree analysis method (FTA), has been used. By the use of this method it is simpler to identify the system’s weak link and it is shown that the method gives the basis for the ship’s system reliability analysis. Based on FTA analysis this paper suggests system parameters that require continuous monitoring in order to achieve reliability. The results show the behavior of the components in case of faults and this approach can help to create a plan of action in order to enforce timely corrective and preventive action and, accordingly, increase the rate of reliability of the entire ship’s systems.

[1]  Pei Chun Lin,et al.  A modified ant colony optimization algorithm for multi-item inventory routing problems with demand uncertainty , 2010 .

[2]  Marielle Christiansen,et al.  A Branch-and-Price Method for a Liquefied Natural Gas Inventory Routing Problem , 2010, Transp. Sci..

[3]  Branko Blagojević.  Modeliranje strukturnih sustava broda događajima , 2005 .

[4]  John M. Wilson,et al.  Introduction to Stochastic Programming , 1998, J. Oper. Res. Soc..

[5]  Kjetil Fagerholt,et al.  Transportation Planning and Inventory Management in the LNG Supply Chain , 2010 .

[6]  Kjetil Fagerholt,et al.  A construction and improvement heuristic for a liquefied natural gas inventory routing problem , 2012, Comput. Ind. Eng..

[7]  Inge Norstad,et al.  A rolling horizon heuristic for creating a liquefied natural gas annual delivery program , 2011 .

[8]  A. J. Mokashi,et al.  A study of reliability-centred maintenance in maritime operations , 2002 .

[9]  Kjetil Fagerholt,et al.  Vessel routing and scheduling under uncertainty in the liquefied natural gas business , 2013, Comput. Ind. Eng..

[10]  Đorđe Dobrota,et al.  Problem of Boil - off in LNG Supply Chain , 2013 .

[11]  Marielle Christiansen,et al.  AN OCEAN OF OPPORTUNITIES , 2009 .

[12]  Susan W. Palocsay,et al.  An optimization model for planning natural gas purchases, transportation, storage and deliverability , 1996 .

[13]  Peter R. Hartley,et al.  The Future of Long-Term LNG Contracts , 2015 .

[14]  Hoseong Lee,et al.  Sloshing Impact of LNG Cargoes In Membrane Containment Systems In the Partially Filled Condition , 2003 .

[15]  EnergyInformationAdministration.  Annual Energy Outlook 2008 With Projections to 2030 , 2008 .

[16]  R. A. Zemlin,et al.  Integer Programming Formulation of Traveling Salesman Problems , 1960, JACM.

[17]  Ante Bukša,et al.  Pouzdanost brodskih sustava , 2008 .

[18]  John R. Birge,et al.  Introduction to Stochastic Programming , 1997 .

[19]  N Chatterjee,et al.  EFFECTS OF STRATIFICATION ON BOIL-OFF RATES IN LNG TANKS , 1972 .

[20]  Marielle Christiansen,et al.  Supply Chain Optimization for the Liquefied Natural Gas Business , 2009 .

[21]  Leandro C. Coelho,et al.  The exact solution of several classes of inventory-routing problems , 2013, Comput. Oper. Res..

[22]  Kjetil Fagerholt,et al.  Routing and scheduling in a liquefied natural gas shipping problem with inventory and berth constraints , 2010, Annals of Operations Research.

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

[24]  Mohamad Shukri Zakaria,et al.  Computational Simulation of Boil-Off Gas Formation inside Liquefied Natural Gas Tank Using Evaporation Model in ANSYS Fluent , 2013 .