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Ship Repairing: Analyses and Estimates (Springer Series on Naval Architecture, Marine Engineering, Shipbuilding and Shipping, 12, Band 12) - Hardcover

Dev, Arun Kr; Saha, Makaraksha; Bruce, George

 
9789811694677: Ship Repairing: Analyses and Estimates (Springer Series on Naval Architecture, Marine Engineering, Shipbuilding and Shipping, 12, Band 12)
Hardcover
ISBN 10: 9811694672 ISBN 13: 9789811694677
Verlag: Springer, 2022

Inhaltsangabe

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 justifythe 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.

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Über die Autorin bzw. den Autor

Dr. Arun Kr Dev, a Naval Architect, Marine and Offshore Engineer, holds the current position of Associate Professor and Director of Postgraduate Studies at Newcastle University in Singapore (NUiS).  He is responsible for teaching and research in the field of Naval Architecture, Marine and Offshore Technology. His previous experiences include working in the Keppel Group in marine technology development. He also worked at Singapore Maritime Academy (SMA), Singapore Polytechnic (SP) and University Technology Malaysia (UTM). Dr Dev is a Fellow of SNAME, RINA, IMarEST, EI, SNAMES and IEB. He has published more than 100 technical articles and papers in international journals, seminars and conferences respectively.

Makaraksha Saha is a graduate in Naval Architecture & Marine Engineering (1977) and post-graduate in Industrial and Production Engineering (1987) from Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh. From 1977-2012, he worked in shipyards in various positions involving Shipbuilding and Ship Repairing. Since 2014, he is working as a Owner’s Representative (Technical Advisor) overseeing the design and construction of Platform Supply Vessels (PSVs) and Anchor Handling Tug and Towing Supply Vessels (AHTSVs). Mr. Saha is a Fellow of IEB, RINA and SNAMES, Member of IMarEST, SNAME, ASNE, IISE, IEI, IES, ORSS. 

George began his career as a shipyard apprentice, gaining a BSc in Naval Architecture during this time. His early career was project managing shipyard developments mainly in North East England. He spent three years managing shipbuilding research and development at British shipbuilders, followed by work in a major international consultancy, advising private and public shipbuilders and governments. He became Technical Director and also completed an MBA. George ran his own shipyard consulting company, also developing management information software for shipbuilding and shiprepair. He joined Newcastle University, where he was awarded a chair as Professor of Shiprepair and Conversion, retiring in 2012. George remains active in teaching and consultancy in shipbuilding and repairing.


Von der hinteren Coverseite

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 justifythe 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.

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Verlag
Springer
Erscheinungsdatum
2022
Sprache
Englisch
ISBN 10 
9811694672
ISBN 13 
9789811694677
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
295
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