| 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 |
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| 024 | 7 |
_a10.1007/978-981-16-9468-4 _2doi |
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| 040 |
_aKO _beng |
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| 041 | 0 | _aeng | |
| 082 | 0 | 4 |
_a623.8 _223 |
| 100 | 1 |
_aDev, Arun Kr. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 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. |
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| 300 |
_aXXIII, 272 p. 302 illus., 2 illus. in color. _bonline resource. |
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| 338 | _aonline resource | ||
| 490 | 1 |
_aSpringer Series on Naval Architecture, Marine Engineering, Shipbuilding and Shipping, _x2194-8453 ; _v12 |
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| 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 |
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| 999 |
_c3185 _d3185 |
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