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Ship repairing = analyses and estima...

Dev, Arun Kr.

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Ship repairing = analyses and estimates /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Ship repairing/ by Arun Kr Dev, Makaraksha Saha, George Bruce.
Reminder of title:	analyses and estimates /
Author:	Dev, Arun Kr.
other author:	Saha, Makaraksha.
Published:	Singapore :Springer Singapore : : 2022.,
Description:	xxiii, 272 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Data Collection and Illustrations -- Analysis of Repairing Time -- Analysis of Docking Time -- Analysis of Repairing Labor -- Hull Coating Renewal Area.
Contained By:	Springer Nature eBook
Subject:	Ships - Maintenance and repair. -
Online resource:	https://doi.org/10.1007/978-981-16-9468-4
ISBN:	9789811694684

Ship repairing = analyses and estimates /
Dev, Arun Kr.

Ship repairinganalyses and estimates /[electronic resource] :by Arun Kr Dev, Makaraksha Saha, George Bruce. - Singapore :Springer Singapore :2022. - xxiii, 272 p. :ill., digital ;24 cm. - Springer series on naval architecture, marine engineering, shipbuilding and shipping,v. 122194-8453 ;. - Springer series on naval architecture, marine engineering, shipbuilding and shipping ;v. 12..

Introduction -- Data Collection and Illustrations -- Analysis of Repairing Time -- Analysis of Docking Time -- Analysis of Repairing Labor -- Hull Coating Renewal Area.

This book highlights the relationship between independent and dependent ship repairing variables of various combinations under linear and nonlinear form using actual data collected from shipyards. Independent variables refer to age, deadweight, cubic number, principal dimensions, and type of ships. Dependent variables refer to repairing time, docking time, repairing labor, docking labor, hull blasting renewal area, hull painting renewal area, pipe renewal length, structural steel renewal weight, and structural steel renewal locations. Mathematical models are developed involving appropriate variables using multiple linear regression analysis technique for different combinations of variables of ship repair. Adequacy of models is tested using statistical parameters like coefficients of multiple determination and F statistic (calculated and tabulated) Also, validation is presented to determine the deviation of model value from the observed value and their statistical parameters to justify the adequacy of the respective estimate models. The book also emphasises the importance of managing the labor force, reliable data collection and an effective management information system to manage this as well as keeping control of on-going repair contracts.

ISBN: 9789811694684

Standard No.: 10.1007/978-981-16-9468-4doiSubjects--Topical Terms:

3595686
Ships
--Maintenance and repair.

LC Class. No.: VM149 / .D48 2022

Dewey Class. No.: 623.8200288

Ship repairing = analyses and estimates /
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245 1 0 $a Ship repairing $h [electronic resource] : $b analyses and estimates / $c by Arun Kr Dev, Makaraksha Saha, George Bruce.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2022.
300 $a xxiii, 272 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer series on naval architecture, marine engineering, shipbuilding and shipping, $x 2194-8453 ; $v v. 12
505 0 $a Introduction -- Data Collection and Illustrations -- Analysis of Repairing Time -- Analysis of Docking Time -- Analysis of Repairing Labor -- Hull Coating Renewal Area.
520 $a This book highlights the relationship between independent and dependent ship repairing variables of various combinations under linear and nonlinear form using actual data collected from shipyards. Independent variables refer to age, deadweight, cubic number, principal dimensions, and type of ships. Dependent variables refer to repairing time, docking time, repairing labor, docking labor, hull blasting renewal area, hull painting renewal area, pipe renewal length, structural steel renewal weight, and structural steel renewal locations. Mathematical models are developed involving appropriate variables using multiple linear regression analysis technique for different combinations of variables of ship repair. Adequacy of models is tested using statistical parameters like coefficients of multiple determination and F statistic (calculated and tabulated) Also, validation is presented to determine the deviation of model value from the observed value and their statistical parameters to justify the adequacy of the respective estimate models. The book also emphasises the importance of managing the labor force, reliable data collection and an effective management information system to manage this as well as keeping control of on-going repair contracts.
650 0 $a Ships $x Maintenance and repair. $3 3595686
650 1 4 $a Marine Engineering. $3 3592720
650 2 4 $a Project Management. $3 1567596
650 2 4 $a Transportation Technology and Traffic Engineering. $3 2153276
650 2 4 $a Engineering Design. $3 891033
650 2 4 $a Industrial and Production Engineering. $3 891024
650 2 4 $a Offshore Engineering. $3 896759
700 1 $a Saha, Makaraksha. $3 3595684
700 1 $a Bruce, George. $3 3488575
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