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dc.contributor.authorThambidorai, Ganesh
dc.description.abstractEngineering problems often involve many conflicting quality characteristics that must be optimized simultaneously. Engineers are required to select suitable design parameter values which provide better trade-off among all quality characteristics. Multiresponse optimization is one of the most essential tools for solving engineering problems involving multiple quality characteristics. Optimizing several quality characteristics when the quality characteristics are correlated makes the optimization process more complex. The aim of this research is to evaluate the performance of several existing multiresponse optimization methods and investigate their capabilities in dealing with correlated quality characteristics. This study also investigates the impact of uncertainty in terms of input parameter selection. A new multi-response optimization approach has been proposed for solving correlated quality characteristics. The proposed approach is compared with the existing methods and found more robust in terms dealing with uncertainty in target selection. The comparative study and application of the proposed approach is demonstrated by considering two examples from the literature having correlated quality characteristics.en_US
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU Policy 190.6.2
dc.titleMultiresponse Optimization Methodology Considering Related Quality Characteristicsen_US
dc.typeThesisen_US
dc.date.accessioned2019-01-10T18:52:30Z
dc.date.available2019-01-10T18:52:30Z
dc.date.issued2011en_US
dc.identifier.urihttps://hdl.handle.net/10365/29174
dc.subject.lcshEngineering design -- Mathematical models.en_US
dc.subject.lcshManufacturing processes -- Quality control.en_US
dc.subject.lcshMathematical optimization.en_US
dc.subject.lcshQuality control.en_US
dc.subject.lcshParameter estimation.en_US
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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