Supply Chain Decarbonisation - A Cost-Based Decision Support Model in Slow Steaming Maritime

CO2 emissions from maritime transport operations represent a substantial part of the total greenhouse gas emission. Vessels are designed with better energy efficiency. Minimizing CO2 emission in maritime operations plays an important role in supply chain decarbonisation. This paper reviews the initiatives on slow steaming operations towards the reduction of carbon emission. It investigates the relationship and impact among slow steaming cost reduction, carbon emission reduction, and shipment delay. A scenario-based cost-driven decision support model is developed to facilitate the selection of the optimal slow steaming options, considering the cost on bunker fuel consumption, available speed, carbon emission, and shipment delay. The incorporation of the social cost of cargo is reviewed and suggested. Additional measures on the effect of vessels sizes, routing, and type of fuels towards decarbonisation are discussed. Keywords—Slow steaming, carbon emission, maritime logistics, sustainability, green supply chain.

[1]  Christos A. Kontovas,et al.  Balancing the economic and environmental performance of maritime transportation , 2010 .

[2]  R. Tol.  The Economic Effects of Climate Change , 2009 .

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

[4]  Pierre Cariou,et al.  Is slow steaming a sustainable means of reducing CO2 emissions from container shipping , 2011 .

[5]  Dung-Ying Lin,et al.  Comparing the unit emissions of daily frequency and slow steaming strategies on trunk route deployment in international container shipping , 2013 .

[6]  C. Hope,et al.  The social cost of carbon in U.S. regulatory impact analyses: an introduction and critique , 2012, Journal of Environmental Studies and Sciences.

[7]  R. Venterea.  Climate Change 2007: Mitigation of Climate Change , 2009 .

[8]  Biagio Ciuffo,et al.  Estimating air emissions from ships: Meta-analysis of modelling approaches and available data sources , 2011 .

[9]  H. L. Miller,et al.  Climate Change 2007: The Physical Science Basis , 2007 .

[10]  Pushpam Kumar.  Agriculture (Chapter8) in IPCC, 2007: Climate change 2007: Mitigation of Climate Change. Contribution of Working Group III to the Fourth assessment Report of the Intergovernmental Panel on Climate Change , 2007 .

[11]  Jens Hetland,et al.  In search of a sustainable hydrogen economy: How a large-scale transition to hydrogen may affect the primary energy demand and greenhouse gas emissions , 2007 .

[12]  Anders Hammer Strømman,et al.  The importance of economies of scale for reductions in greenhouse gas emissions from shipping , 2012 .

[13]  Christos A. Kontovas,et al.  Speed models for energy-efficient maritime transportation: A taxonomy and survey , 2013 .

[14]  S. Schneider,et al.  Climate Change 2007 Synthesis report , 2008 .

[15]  S. Solomon.  The Physical Science Basis : Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change , 2007 .

[16]  A. Stromman,et al.  Reductions in greenhouse gas emissions and cost by shipping at lower speeds , 2011 .