Analysis of Profitability for Container Shipping on Arctic Routes by Navigation Speed and Risk of Disruption

Arctic sea routes have long been a worldwide focus because they create shorter distances between the Atlantic and the Pacific Oceans and because of their role in relieving pressure on the two busiest traditional routes for maritime shipping. Models used to address the profitability of Arctic shipping have neglected the variety of navigation speeds along Arctic routes related to various ice situations in the Arctic zone. As well, risks of disruption and recovery costs are seldom taken into account in the models. To improve the accuracy of assessments, this paper analyzes disruptions and delays along Arctic container shipping routes and presents a nonlinear programming model for minimizing operation costs, including penalties for deviations in arrival time and for undelivered containers. Piecewise linear interpolation is used to transform this nonlinear problem into a mixed-integer linear programming problem. Results of a case study are discussed for validity and improvements. This study could help shipping liners design a service network of container shipping through the Arctic routes.

[1]  Jérôme Verny,et al.  Container shipping on the Northern Sea Route , 2009 .

[2]  Qiang Meng,et al.  Liner ship route schedule design with sea contingency time and port time uncertainty , 2012 .

[3]  Xiangtong Qi,et al.  Minimizing fuel emissions by optimizing vessel schedules in liner shipping with uncertain port times , 2012 .

[4]  B. Srinath Arctic shipping: commercial viability of the arctic sea routes , 2010 .

[5]  Henrik Grythe,et al.  Commercial Arctic shipping through the Northeast Passage: routes, resources, governance, technology, and infrastructure , 2014 .

[6]  Jozef Szymanski,et al.  Feasibility of a Sea Route through the Canadian Arctic , 2007 .

[7]  Jacob Kronbak,et al.  The potential economic viability of using the Northern Sea Route (NSR) as an alternative route between Asia and Europe , 2010 .

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

[9]  Hanif D. Sherali,et al.  A column generation approach for determining optimal fleet mix, schedules, and transshipment facility locations for a vessel transportation problem , 2013 .

[10]  T. Notteboom The Time Factor in Liner Shipping Services , 2006 .

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

[12]  L. F. Perrone,et al.  THE NORTHWEST PASSAGE : A SIMULATION , 2006 .

[13]  Xia Zhang,et al.  Scale and scope of maritime cargoes through the Arctic Passages , 2013 .

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

[15]  Svetlana Chernova,et al.  Economic feasibility of the Northern Sea Route container shipping development , 2010 .

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

[17]  Frédéric Lasserre,et al.  Case studies of shipping along Arctic routes. Analysis and profitability perspectives for the container sector , 2014 .

[18]  David Pisinger,et al.  The Vessel Schedule Recovery Problem (VSRP) - A MIP model for handling disruptions in liner shipping , 2013, Eur. J. Oper. Res..