Estimation Model of Dry Docking Duration Using Data Mining

Research output: Contribution to journalArticlepeer-review

Abstract

Maintenance is one of the most important activities in the shipyard industry. However, sometimes it is not supported by adequate services from the shipyard, where inaccuracy in estimating the duration of the ship maintenance is still common. This makes estimation of ship maintenance duration is crucial. This study uses Data Mining approach, i.e., CART (Classification and Regression Tree) to estimate the duration of ship maintenance that is limited to dock works or which is known as dry docking. By using the volume of dock works as an input to estimate the maintenance duration, 4 classes of dry docking duration were obtained with different linear model and job criteria for each class. These linear models can then be used to estimate the duration of dry docking based on job criteria.
Original languageEnglish
Pages (from-to)1588-1591
JournalInternational Journal of Industrial and Manufacturing Engineering
Volume7
Issue number7
Publication statusPublished - 1 Dec 2013

Keywords

  • Classification and regression tree (CART), Data mining, Dry docking, Maintenance duration

Fingerprint

Dive into the research topics of 'Estimation Model of Dry Docking Duration Using Data Mining'. Together they form a unique fingerprint.

Cite this