Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
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.
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Estimation Model of Dry Docking Duration
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LAP LAMBERT Academic Publishing Sep 2017, 2017
ISBN 10: 6202050810
ISBN 13: 9786202050814
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Taschenbuch. Condizione: 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. Codice articolo 9786202050814
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Estimation Model of Dry Docking Duration: A Data Mining Approach
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ISBN 13: 9786202050814
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Estimation Model of Dry Docking Duration
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ISBN 10: 6202050810
ISBN 13: 9786202050814
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Condizione: 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. Codice articolo 174823096
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Estimation Model of Dry Docking Duration
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LAP LAMBERT Academic Publishing Sep 2017, 2017
ISBN 10: 6202050810
ISBN 13: 9786202050814
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9786202050814
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Estimation Model of Dry Docking Duration : A Data Mining Approach
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ISBN 10: 6202050810
ISBN 13: 9786202050814
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Taschenbuch. Condizione: 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. Codice articolo 9786202050814
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Estimation Model of Dry Docking Duration | A Data Mining Approach
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Taschenbuch. Condizione: 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. Codice articolo 113378905
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