2023
Statistical Methods for Quality and Productivity Improvement
Jiang W, Murphy T, Tsui K, Zhao Y. Statistical Methods for Quality and Productivity Improvement. Springer Handbooks 2023, 199-220. DOI: 10.1007/978-1-4471-7503-2_11.Peer-Reviewed Original ResearchStatistical process controlRobust designSPC methodsImportant statistical methodologiesObjective functionMultivariate quality characteristicsSquared error lossStatistical scienceProcess control methodsOptimization problemAutocorrelated dataStatistical methodologyStatistical methodsSPC theoryComplex systemsNoise ratio SNRPerformance measuresControl methodCharacteristic casesTolerance designProcess controlProcess varianceProcess responsesSingle quality characteristicMultiplicative combination
2011
Identifying Feasible Design Concepts for Products with Competing Performance Requirements by Metamodeling of Loss-Scaled Principal Components
Murphy T, Lin Y, Tsui K, Chen V, Allen J. Identifying Feasible Design Concepts for Products with Competing Performance Requirements by Metamodeling of Loss-Scaled Principal Components. Quality Engineering 2011, 23: 167-179. PMID: 23125480, PMCID: PMC3487716, DOI: 10.1080/08982112.2011.555438.ChaptersPerformance requirementsResponse surface methodologyFeasible design conceptsEarly design stageElectric vehiclesMechanical design elementsEngineering designSurface methodologyDesign performance metricsDesign stageMechanical frameDesign conceptMultiple performance levelsDesign solutionsTarget performanceDesign variable settingsPerformance levelPerformance metricsModeling approachComputational performancePoint modelingObjective functionDesignMultivariate adaptive regression splinesPerformance
2006
Statistical Methods for Quality and Productivity Improvement
Jiang W, Murphy T, Tsui K. Statistical Methods for Quality and Productivity Improvement. Springer Handbooks 2006, 173-192. DOI: 10.1007/978-1-84628-288-1_10.ChaptersObjective functionOptimization problemSPC methodsImportant statistical methodologiesMultivariate quality characteristicsSquared error lossStatistics literatureProcess control methodsAutocorrelated dataStatistical methodologyAlternative objective functionsStatistical methodsSPC theoryNoise ratio SNRPerformance measuresControl methodCharacteristic casesTolerance designProcess varianceDynamic RDSProcess responsesSingle quality characteristicMultiplicative combinationProblemDesirability function
2005
A review of robust design methods for multiple responses
Murphy T, Tsui K, Allen J. A review of robust design methods for multiple responses. Research In Engineering Design 2005, 16: 118-132. DOI: 10.1007/s00163-005-0004-0.Peer-Reviewed Original ResearchDesign variable settingsObjective functionCompromise solutionOptimal compromise solutionBest compromise solutionDifferent multivariate approachesMulti-response objective functionsCompromise Decision Support ProblemRobust design methodVariable settingsStatistical literatureIndividual product performanceDecision Support ProblemVector xUnivariate responseRigorous techniquesMultiple responsesDesign methodEngineering literatureResponse variablesUnivariate approachMultivariate approachSupport problemEngineering designUser-friendly fashion
2004
A review of robust design methods for multiple responses
Murphy T, Tsui K, Allen J. A review of robust design methods for multiple responses. Research In Engineering Design 2004, 15: 201-215. DOI: 10.1007/s00163-004-0054-8.Peer-Reviewed Original ResearchCompromise Decision Support ProblemDesign variable settingsObjective functionCompromise solutionOptimal compromise solutionBest compromise solutionDifferent multivariate approachesMulti-response objective functionsRobust design methodVariable settingsStatistical literatureIndividual product performanceDecision Support ProblemUnivariate responseRigorous techniquesMultiple responsesDesign methodEngineering literatureResponse variablesUnivariate approachMultivariate approachSupport problemEngineering designUser-friendly fashionProblem