Ship Repairing - Analyses and Estimates (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Springer Series on Naval Architecture, Marine Engineering, Shipbuilding and Shipping, 12
Release date:	March 2022
First published:	2022
Authors:	Arun Kr Dev • Makaraksha Saha • George Bruce
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	272
Edition:	1st ed. 2022
ISBN-13:	978-981-16-9467-7
Categories:	Books > Business & Economics > Business & management > Management & management techniques > Project management Books > Professional & Technical > Transport technology > Shipbuilding technology & engineering > General Books > Professional & Technical > Other technologies > Marine engineering > General Promotions
LSN:	981-16-9467-2
Barcode:	9789811694677

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