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dc.contributor.authorLimon, Shah Mohammad
dc.description.abstractProviding more realistic reliability prediction based on small proportion of failed population or test data has always been a challenging task. Manufacturers rely heavily on reliability prediction for designing warranty plan. Further, to predict warranty claims for the remaining warranty period, it is important to have more realistic reliability assessment by considering a larger proportion of the population or the maximum possible information on the remaining population. However, generally this information is not readily available and is very difficult to gather on the scattered population. In this work, we propose to use customer usage rate profile to generate censored usage data on the remaining population that do not have any failure and warranty claim yet. We intend to use field data available such as warranty claims, field failures, recall data, and maintenance data to develop usage rate profile and subsequently estimate censored usage time. Finally, reliability estimation methodology is developed considering both censored data and field failure data to provide more reasonable reliability prediction for the remaining warranty period. The proposed methodology is demonstrated considering real life data from a big manufacturing company.en_US
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU Policy 190.6.2
dc.titleReliability Estimation Considering Customer Usage Rate Profile and Warranty Claimsen_US
dc.typeThesisen_US
dc.date.accessioned2018-02-08T20:42:36Z
dc.date.available2018-02-08T20:42:36Z
dc.date.issued2014
dc.identifier.urihttps://hdl.handle.net/10365/27510
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdf
ndsu.degreeMaster of Science (MS)en_US
ndsu.collegeEngineeringen_US
ndsu.departmentIndustrial and Manufacturing Engineeringen_US
ndsu.programIndustrial and Manufacturing Engineeringen_US
ndsu.advisorYadav, Om Prakash


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