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dc.contributor.advisorKoyak, Robert A.
dc.contributor.authorTan, Chunwei Jeffrey
dc.dateDecember 2003
dc.date.accessioned2012-03-14T17:47:52Z
dc.date.available2012-03-14T17:47:52Z
dc.date.issued2003-12
dc.identifier.urihttp://hdl.handle.net/10945/6133
dc.description.abstractThis research was initiated due to a report claiming that The U.S. Navy significantly overestimated repair prices in a Performance Based Logistics (PBL) reward to a contractor. The purpose of this thesis is to develop a model for improving the prediction of repair price for U.S. Navy inventory items. The thesis examines several prediction methodologies, including a ratio-estimator prediction method that is a modification of the methodology currently in use, as well as regression analysis. In contrast to the ratio-estimator approach, regression is able to utilize a wide range of predictor variables, several of which are evaluated in the thesis research. Results of this analysis reveal that a regression model with logarithmic transformations yields more accurate predictions of repair prices than the current methodology. This improvement is seen especially for items that have the highest replacement price. One feature of the proposed regression-based methodology is that predicted repair prices for the most expensive items are substantially lower than with the current methodology. In the case where that prompted the thesis research, the overstatement of benefit from the PBL would have been reduced by about 30 million under the proposed methodology.en_US
dc.description.urihttp://archive.org/details/amodelforpredict109456133
dc.format.extentxviii, 65 p. : ill.en_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsCopyright is reserved by the copyright owneren_US
dc.subject.lcshRegression analysisen_US
dc.titleA model for predicting the repair costs of U.S. Navy inventory itemsen_US
dc.typeThesisen_US
dc.contributor.secondreaderWhitaker, Lyn R.
dc.contributor.departmentOperations Research (OR)
dc.subject.authorCost estimationen_US
dc.subject.authorRepair priceen_US
dc.subject.authorData analysisen_US
dc.subject.authorNaval inventory itemsen_US
dc.subject.authorOperations researchen_US
dc.subject.authorRegression analysisen_US
dc.description.serviceCivilian, Singapore Ministry of Defenseen_US
etd.thesisdegree.nameM.S. in Operations Researchen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.verifiednoen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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