000 03425nam a22005295i 4500
001 978-981-16-9468-4
003 DE-He213
005 20250131131458.0
007 cr nn 008mamaa
008 220309s2022 si | s |||| 0|eng d
020 _a9789811694684
_9978-981-16-9468-4
024 7 _a10.1007/978-981-16-9468-4
_2doi
040 _aKO
_beng
041 0 _aeng
082 0 4 _a623.8
_223
100 1 _aDev, Arun Kr.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aShip Repairing
_h[electronic resource] :
_bAnalyses and Estimates /
_cby Arun Kr Dev, Makaraksha Saha, George Bruce.
250 _a1st ed. 2022.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2022.
300 _aXXIII, 272 p. 302 illus., 2 illus. in color.
_bonline resource.
338 _aonline resource
490 1 _aSpringer Series on Naval Architecture, Marine Engineering, Shipbuilding and Shipping,
_x2194-8453 ;
_v12
505 0 _aIntroduction -- Data Collection and Illustrations -- Analysis of Repairing Time -- Analysis of Docking Time -- Analysis of Repairing Labor -- Hull Coating Renewal Area.
520 _aThis 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.
650 0 _aMarine engineering.
650 0 _aProject management.
650 0 _aTransportation engineering.
650 0 _aTraffic engineering.
650 0 _aEngineering design.
650 0 _aIndustrial engineering.
650 0 _aProduction engineering.
650 0 _aOffshore structures.
650 1 4 _aMarine Engineering.
650 2 4 _aProject Management.
650 2 4 _aTransportation Technology and Traffic Engineering.
650 2 4 _aEngineering Design.
650 2 4 _aIndustrial and Production Engineering.
650 2 4 _aOffshore Engineering.
700 1 _aSaha, Makaraksha.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aBruce, George.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
830 0 _aSpringer Series on Naval Architecture, Marine Engineering, Shipbuilding and Shipping,
_x2194-8453 ;
_v12
856 4 0 _uhttps://doi.org/10.1007/978-981-16-9468-4
904 _aRUDRA_R
905 _aR_RANJAN
942 _2ddc
_cEB
999 _c3185
_d3185