國立高雄大學圖資館 |

Language: English

Back

Ship repairinganalyses and estimates /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Ship repairingby 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.
Contained By:	Springer Nature eBook
Subject:	ShipsMaintenance and repair.
Online resource:	https://doi.org/10.1007/978-981-16-9468-4
ISBN:	9789811694684$q(electronic bk.)

Ship repairinganalyses 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.2..

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$q(electronic bk.)

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

924856
Ships
--Maintenance and repair.

LC Class. No.: VM149 / .D48 2022

Dewey Class. No.: 623.8200288

Ship repairinganalyses and estimates /
LDR:02540nmm a2200337 a 4500 001 622841
003 DE-He213
005 20220309115624.0
006 m d
007 cr nn 008maaau
008 221209s2022 si s 0 eng d
020 $a 9789811694684$q(electronic bk.)
020 $a 9789811694677$q(paper)
024 7 $a 10.1007/978-981-16-9468-4 $2 doi
035 $a 978-981-16-9468-4
040 $a GP $c GP
041 0 $a eng
050 4 $a VM149 $b .D48 2022
072 7 $a TRL $2 bicssc
072 7 $a TEC009070 $2 bisacsh
072 7 $a TRL $2 thema
082 0 4 $a 623.8200288 $2 23
090 $a VM149 $b .D488 2022
100 1 $a Dev, Arun Kr. $3 924854
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 924856
650 1 4 $a Marine Engineering. $3 919567
650 2 4 $a Project Management. $3 515728
650 2 4 $a Transportation Technology and Traffic Engineering. $3 724870
650 2 4 $a Engineering Design. $3 273752
650 2 4 $a Industrial and Production Engineering. $3 273753
650 2 4 $a Offshore Engineering. $3 275540
700 1 $a Saha, Makaraksha. $3 924855
700 1 $a Bruce, George. $3 889167
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Springer series on naval architecture, marine engineering, shipbuilding and shipping ; $v v.2. $3 771237
856 4 0 $u https://doi.org/10.1007/978-981-16-9468-4
950 $a Engineering (SpringerNature-11647)