# Prediction of the Main Engine Power of a New Container Ship at the Preliminary Design Stage

Prediction of the Main Engine Power of a New Container Ship at the Preliminary Design Stage AbstractThe paper presents mathematical relationships that allow us to forecast the estimated main engine power of new container ships, based on data concerning vessels built in 2005-2015. The presented approximations allow us to estimate the engine power based on the length between perpendiculars and the number of containers the ship will carry. The approximations were developed using simple linear regression and multivariate linear regression analysis. The presented relations have practical application for estimation of container ship engine power needed in preliminary parametric design of the ship. It follows from the above that the use of multiple linear regression to predict the main engine power of a container ship brings more accurate solutions than simple linear regression. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Management Systems in Production Engineering de Gruyter

# Prediction of the Main Engine Power of a New Container Ship at the Preliminary Design Stage

, Volume 25 (2): 3 – Jun 1, 2017
3 pages

/lp/de-gruyter/prediction-of-the-main-engine-power-of-a-new-container-ship-at-the-yaxyiAcQNl
Publisher
de Gruyter
eISSN
2450-5781
DOI
10.1515/mspe-2017-0014
Publisher site
See Article on Publisher Site

### Abstract

AbstractThe paper presents mathematical relationships that allow us to forecast the estimated main engine power of new container ships, based on data concerning vessels built in 2005-2015. The presented approximations allow us to estimate the engine power based on the length between perpendiculars and the number of containers the ship will carry. The approximations were developed using simple linear regression and multivariate linear regression analysis. The presented relations have practical application for estimation of container ship engine power needed in preliminary parametric design of the ship. It follows from the above that the use of multiple linear regression to predict the main engine power of a container ship brings more accurate solutions than simple linear regression.

### Journal

Management Systems in Production Engineeringde Gruyter

Published: Jun 1, 2017

### References

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