Abstract
Currently, container ships operators have implemented slow steaming (SS) strategies in their fleets to improve the profit margins by reducing operational costs. However, some ship owners are not yet convinced of this practice because the navigation time is increasing that cause a reduction of the number of travel per year of the ship. The use of speed reduction by liner shipping has been widely discussed in the literature. Nevertheless, this effect has not been studied in bulk carriers because they are navigating slower than container ships. This paper proposes a simulation model of a bulk carrier’s fleet composed by 13 ships from a unique ship owner in three conditions: the actual condition of navigation, the SS and the ultra-slow steaming. A discrete-event simulation model has been developed considering historical data of a bulk carrier fleet. The results obtained are the total fuel consumption, emissions and the cargo transported per year. These values are showing that the fleet can be operated with higher efficiency when the SS strategy is used. Indeed, the saving in fuel cost and emissions are balancing the reduction of the cargo transported per year.
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References
D.O. Bausch, G.G. Brown, D. Ronen, Scheduling short-term marine transport of bulk products. Marit. Policy Manag. 25(4), 335–348 (1998)
P. Cariou, Is slow steaming a sustainable means of reducing CO\(_2\) emissions from container shipping? Transp. Res. Part D 16, 260–264 (2011). doi:10.1016/j.trd.2010.12.005
M.A.F. Cepeda, Analysis of ship fleet performance using data envelopment analysis and multi criteria decision analysis estimators. Dissertation for the degree of master of science (M.Sc.), UFRJ/COPPE/Programa de Engenharia Oceanica, Rio de Janeiro (2016)
M.A.F. Cepeda, J.D. Caprace, Simulating economical impacts of slow & ultra slow steaming strategies on a bulk carrier fleet. in Proceedings of XXVIX Congress ANPET 2015, ed. By ANPET (ANPET, ANPET, Ouro Preto, Brasil, 2015), pp. 1052–1062
C.C. Chang, C.H. Chang, Energy conservation for international dry bulk carriers via vessel speed reduction. Energy Policy 59, 710–715 (2013). doi:10.1016/j.enpol.2013.04.025
M. Claudepierre, A. Klanac, B. Allestrom, Ulysses the ultra slow steaming of the future (Paper, The European Commission, 2012)
C. Ferrari, A. Tei, F. Parola, Facing the economic crisis by cutting costs: the impact of low-steaming on container shipping networks, in Conference Proceedings of International Association of Maritime Economists (IAME) Conference (International Association of Maritime Economists (IAME), Porteconomics.eu, Taipei Taiwan, 2012), pp. 1–16
M. Flikkema, Design for efficiency. Ship & Offshore 6, 16–18 (2013)
IMO: Guidelines for voluntary use of the ship energy efficiency operational indicator EEOI. Tech. Rep. MEPC.1/Circ.684, IMO—International Maritime Organization (2009). Ref. T5/1.01
IMO, I.M.O.: Interim guidelines for voluntary ship CO\(_2\) emission indexing for use in trials. Mepc/circ.471, International Maritime Organization, London, UK (2005)
P.M.H. Kendall, A theory of optimum ship size. J. Transp. Econ. Policy V I(2), 128–146 (1972)
C.Y. Lee, H.L. Lee, J. Zhang, The impact of slow ocean steaming on delivery reliability and fuel consumption. Transp. Res. Part E 76, 176–190 (2015). doi:10.1016/j.tre.2015.02.004
European Commission Limited, Quantification of emissions from ships associated with ship movements between ports in the european community (Final report, European Commission, England, 2002)
H. Lindstad, B.E. Asbjornslett, A.H. Stromman, Reductions in greenhouse gas emissions and cost by shipping at lower speeds. Energy Policy 39(6), 3456–3464 (2011). doi:10.1016/j.enpol.2011.03.044
M. Maloni, J.A. Paul, D.M. Gligor, Slow steaming impacts on ocean carriers and shippers. J. Marit. Econ. Logist. 15(2), 151–171 (2013). doi:10.1057/mel.2013.2
T. Notteboom, P. Cariou, Slow steaming in container liner shipping: is there any impact on fuel surcharge practices? Int. J. Logist. Manag. 24(1), 73–86 (2013). doi:10.1108/IJLM-05-2013-0055
H.N. Psaraftis, D.V. Lyridis, C.A. Kontovas, The Blackwell Companion to Maritime Economics, Chap. 19 The Economics of Ships (Wiley-Blackwell, Maiden, 2012), pp. 373–391
N.S.F.A. Rahman, Z. Yang, S. Bonsall, J. Wang, A fuzzy rule-based Bayesian reasoning method for analysing the necessity of super slow steaming under uncertainty: containership. Int. J. e-Navig. Marit. Econ. 3, 1–12 (2015)
D. Ronen, The effect of oil price on the optimal speed of ships. J. Operat. Res. Soc. 33(11), 1035–1040 (1982)
M. Stephens, Future operating costs report. Tech. rep., Moore Stephens International Limited, 150 Aldersgate Street, London (2015)
M. Stopford, Maritime Economics, vol. 3 (Routledge, London, 2009)
A. Sweetser, A comparison of system dynamics and discrete event simulation, in Proceedings of 17th International Conference of the System Dynamics Society (Wellington, New Zealand, 1999) pp. 1–8
H.H. Tai, D.Y. Lin, Comparing the unit emissions of daily frequency and slow steaming strategies on trunk route deployment ininternational container shipping. Transp. Res. Part D 21, 26–31 (2013)
T. Tezdogan, A. Incecik, O. Turan, P. Kellett, Assessing the impact of a slow steaming approach on reducing the fuel consumption of a containership advancing in head seas. Transp. Res. Proc. 14, 1659–1668 (2016). doi:10.1016/j.trpro.2016.05.131
UNCTAD/RMT: Review of maritime transport 2011. Report, United Nations, New York and Geneva (2011)
UNCTAD/RMT: Review of maritime transport 2016. Report, United Nations, New York and Geneva (2016)
E.Y. Wong, A.H. Tai, H.Y. Lau, M. Raman, An utility-based decision support sustainability model in slow steaming maritime operations. Transp. Res. Part E 78, 57–69 (2015). doi:10.1016/j.tre.2015.01.013
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For Cepeda support National Council for the Improvement of Higher Education (CAPES).
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Cepeda, M.A.F., Assis, L.F., Marujo, L.G. et al. Effects of slow steaming strategies on a ship fleet. Mar Syst Ocean Technol 12, 178–186 (2017). https://doi.org/10.1007/s40868-017-0033-3
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DOI: https://doi.org/10.1007/s40868-017-0033-3