Estimation of ship repair time using the genetic algorithm

• Autorzy: Zagan Remus , Paprocka Iwona , Manea Mihaela-Greti , Manea Emill

Identyfikatory

DOI

10.2478/pomr-2021-0036

• Języki publikacji: EN

Abstrakty

EN

Ship maintenance is regulated by both the state and the classification society. The scope of maintenance works depends on the age of the ship and includes a dock, intermediate and special inspection. The problem is to estimate the reliable time of the ship maintenance and the downtime at the shipyard. The purpose of this article is to develop a more accurate model to predict a ship’s overall maintenance time. A multiple linear regression model is developed to describe the impact of historical data on hull repair, painting time, piping, age, structural and hull plate replacement for ship maintenance. In the literature, the least squares method is used to estimate unknown regression coefficients. The original value of the article is the use of a genetic algorithm to estimate coefficient values of the multiple linear regression model. Necessary analysis and simulations are performed on the data collected for oil and chemical or product tankers. As a result, a significant improvement in the adequacy of the presented model was identified.

Słowa kluczowe

EN

mean time of dry-docking; average repair time; maintenance duration prediction; maintenance duration estimation; ship maintenance; genetic algorithm

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2021
• Tom: nr 3
• Strony: 88--99
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Zagan Remus

• Constanta Maritime University Faculty of Navigation and Naval Transport 104 Mircea cel Batran Street, 900663 Constanta Romania

autor

Paprocka Iwona

• Silesian University of Technology Faculty of Mechanical Engineering Konarskiego 18A str., 44-100 Gliwice Poland

autor

Manea Mihaela-Greti

• Ovidius University of Constanta, Romania

autor

Manea Emill

• Constanta Shipyard-Romania, Greece Branch Office

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).