Synopsis
As its function to connect people between islands at more competitive prices, sea transportation become one of the most vital facilities for some archipelagic countries, like Indonesia. This is the reason why the number of units of sea transportation in Indonesia keeps on increasing every year. In this industry, maintenance is one of the most important activities in shipping industry as it can determine the eligibility of the ship. However, this activity is not offset by the capacity of the national shipyard, makes the estimation of ship maintenance duration as a very important. This research uses one of data mining method, namely CART (Classification and Regression Tree) to estimate the duration of 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 duration, there are 4 classes of dry docking duration obtained with the 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 its job criteria.
"synopsis" may belong to another edition of this title.
About the Author
Riara Novita: Studied Industrial Engineering at Universitas Indonesia. Research Associate in Statistics and Quality Engineering (SQE) laboratory.Isti Surjandari: Professor in Industrial Engineering, Faculty of Engineering, Universitas Indonesia.
"About this title" may belong to another edition of this title.
Search results for Estimation Model of Dry Docking Duration: A Data Mining...
Seller Image
Estimation Model of Dry Docking Duration
Published by
LAP LAMBERT Academic Publishing Sep 2017, 2017
ISBN 10: 6202050810
ISBN 13: 9786202050814
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As its function to connect people between islands at more competitive prices, sea transportation become one of the most vital facilities for some archipelagic countries, like Indonesia. This is the reason why the number of units of sea transportation in Indonesia keeps on increasing every year. In this industry, maintenance is one of the most important activities in shipping industry as it can determine the eligibility of the ship. However, this activity is not offset by the capacity of the national shipyard, makes the estimation of ship maintenance duration as a very important. This research uses one of data mining method, namely CART (Classification and Regression Tree) to estimate the duration of 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 duration, there are 4 classes of dry docking duration obtained with the 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 its job criteria. 80 pp. Englisch. Seller Inventory # 9786202050814
Stock Image
Estimation Model of Dry Docking Duration: A Data Mining Approach
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202050810
ISBN 13: 9786202050814
New
Paperback
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 80 pages. 8.66x5.91x0.19 inches. In Stock. Seller Inventory # zk6202050810
Buy New
£ 50.09
£ 10 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Seller Image
Estimation Model of Dry Docking Duration
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202050810
ISBN 13: 9786202050814
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Novita RiaraRiara Novita: Studied Industrial Engineering at Universitas Indonesia. Research Associate in Statistics and Quality Engineering (SQE) laboratory.Isti Surjandari: Professor in Industrial Engineering, Faculty of Engineering. Seller Inventory # 174823096
Buy New
£ 27.87
£ 42.38 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Seller Image
Estimation Model of Dry Docking Duration
Published by
LAP LAMBERT Academic Publishing Sep 2017, 2017
ISBN 10: 6202050810
ISBN 13: 9786202050814
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -As its function to connect people between islands at more competitive prices, sea transportation become one of the most vital facilities for some archipelagic countries, like Indonesia. This is the reason why the number of units of sea transportation in Indonesia keeps on increasing every year. In this industry, maintenance is one of the most important activities in shipping industry as it can determine the eligibility of the ship. However, this activity is not offset by the capacity of the national shipyard, makes the estimation of ship maintenance duration as a very important. This research uses one of data mining method, namely CART (Classification and Regression Tree) to estimate the duration of 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 duration, there are 4 classes of dry docking duration obtained with the 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 its job criteria.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. Seller Inventory # 9786202050814
Seller Image
Estimation Model of Dry Docking Duration : A Data Mining Approach
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202050810
ISBN 13: 9786202050814
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As its function to connect people between islands at more competitive prices, sea transportation become one of the most vital facilities for some archipelagic countries, like Indonesia. This is the reason why the number of units of sea transportation in Indonesia keeps on increasing every year. In this industry, maintenance is one of the most important activities in shipping industry as it can determine the eligibility of the ship. However, this activity is not offset by the capacity of the national shipyard, makes the estimation of ship maintenance duration as a very important. This research uses one of data mining method, namely CART (Classification and Regression Tree) to estimate the duration of 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 duration, there are 4 classes of dry docking duration obtained with the 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 its job criteria. Seller Inventory # 9786202050814
Seller Image
Estimation Model of Dry Docking Duration | A Data Mining Approach
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202050810
ISBN 13: 9786202050814
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Estimation Model of Dry Docking Duration | A Data Mining Approach | Riara Novita (u. a.) | Taschenbuch | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202050814 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 113378905