Investigation of the effect of ship size and marine transportation distance on the possible decrease of voyage efficiency

Authors

DOI:

https://doi.org/10.15587/2312-8372.2017.92965

Keywords:

regression dependence, deviation, time charter equivalent, transportation distance, cargo capacity, probability

Abstract

The object of this research is the voyage efficiency of ship in terms of its deviation under the influence of risk factors. Time charter equivalent is considered as an efficiency indicator. The aim of this research is to establish the effect of the main characteristics of the ship and the voyage to the possible deviation of the ship efficiency.

During research the next methods are used:

  • Regression analysis – to establish a kind of connection between the characteristics of the ship (voyage) and elements of the operating costs and income.
  • Probability theory (characteristics and properties of the normal distribution law) – to assess possible deviations of voyage time.
  • Functional analysis to investigate the effect of voyage and ship characteristics on possible decrease in the voyage efficiency.

Principal types of dependencies of income and cost elements for ship (freight rate, fuel consumption, port charges) in voyage on cargo capacity and transportation distance. Obtained patterns allow to formulate expression of efficiency parameter deviation of the voyage ship as a function of voyage and ship characteristics.

Conclusions about the effect of ship size and transportation distance on the possible deviations of voyage efficiency are made. In particular, it is found that possible reduction in the time charter equivalent with an increase in voyage duration is less significant than at shorter distances. Also, it is determined that a significant effect along with the standard deviation of voyage time has a level of freight rates – even its slight increase results in a notable difference in efficiency «losses».

These results allow to estimate the possible deviations of voyage efficiency under the influence of risk factors. Value of time charter equivalent deviation can serve as an additional criterion for decision about ship charter, along with parameters of the daily incomes and time charter equivalent, being a kind of risk assessment of voyage efficiency reduction.

Author Biographies

Olha Vyshnevska, Odessa National Maritime University, Mechnikov str., 34, Odessa, Ukraine, 65029

Senior Lecturer

Department of Marine Transportation

Dmitry Vishnevsky, Odessa National Maritime University, Mechnikov str., 34, Odessa, Ukraine, 65029

PhD, Assistant

Department of Marine Transportation

References

  1. Lindstad, H., Jullumstro, E., Sandaas, I. (2013). Reductions in cost and greenhouse gas emissions with new bulk ship designs enabled by the Panama Canal expansion. Energy Policy, 59, 341–349. doi:10.1016/j.enpol.2013.03.046
  2. Lindstad, H., Asbjornslett, B. E., Jullumstro, E. (2013). Assessment of profit, cost and emissions by varying speed as a function of sea conditions and freight market. Transportation Research Part D: Transport and Environment, 19, 5–12. doi:10.1016/j.trd.2012.11.001
  3. Onyshchenkо, S., Bernevek, T., Gonchar, N. (2015). Regression models for the dependence of ship's cost from deadweight and age: before and after the crisis. Vodnyi transport, 1, 126–133.
  4. Ng, A. K. Y., Kee, J. K. Y. (2008). The optimal ship sizes of container liner feeder services in Southeast Asia: a ship operator’s perspective. Maritime Policy & Management, 35 (4), 353–376. doi:10.1080/03088830802198167
  5. Notteboom, T. E., Vernimmen, B. (2009). The effect of high fuel costs on liner service configuration in container shipping. Journal of Transport Geography, 17 (5), 325–337. doi:10.1016/j.jtrangeo.2008.05.003
  6. Bialystocki, N., Konovessis, D. (2016). On the estimation of ship’s fuel consumption and speed curve: A statistical approach. Journal of Ocean Engineering and Science, 1 (2), 157–166. doi:10.1016/j.joes.2016.02.001
  7. Onyshchenko, S. P., Shutenko, T. M. (2012). Peculiarities of market risks and measures for their reduction in contemporary shipping business. Actual problems of economics, 2 (128), 85–98.
  8. Koekebakker, S., Adland, R., Sodal, S. (2006). Are Spot Freight Rates Stationary? Journal of Transport Economics and Policy, 40 (3), 449–472.
  9. Adland, R. (2003). The stochastic behavior of spot freight rates and the risk premium in bulk shipping. Massachusetts Institute of Technology, 141–146.
  10. RD 31.03.01-90. Tehniko-ekonomicheskie harakteristiki sudov morskogo flota. Internet arhiv zakonodatel'stva SSSR. Bolee 20000 normativno-pravovyh aktov. Available: http://www.libussr.ru/doc_ussr/usr_17959.htm
  11. Artiushkov, L. S., Achkinadze, A. Sh., Rusetskii, A. A. (1988). Sudovye dvizhiteli. Leningrad: Sudostroenie, 296.
  12. Onyshchenko, S. P., Korniets, T. Ye. (2015). Evaluation of market risk of projects of vessel acquisition. Innovative economy, 4, 198–205.

Published

2017-01-31

How to Cite

Vyshnevska, O., & Vishnevsky, D. (2017). Investigation of the effect of ship size and marine transportation distance on the possible decrease of voyage efficiency. Technology Audit and Production Reserves, 1(2(33), 38–44. https://doi.org/10.15587/2312-8372.2017.92965

Issue

Section

Systems and Control Processes: Original Research