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Quality Engineering

IF2.2
Papers40
Citations1354
Journal Papers 40
Publication Date
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Application of Bayesian control charts with dynamic adjustment for risk monitoring
deleteQuality Engineering
IF2.2
delete2026-04-01
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PREAI
deleteQin, Xixi; Liu, Liu
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Shapley-based fault variable identification in MSPC
deleteQuality Engineering
IF2.2
delete2026-03-01
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PREAI
deleteLim, Johan; Kim, Juwhan; Lee, Sungim; Lee, Seul
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A conversation with Ronald JMM Does
deleteQuality Engineering
IF2.2
delete2026-03-01
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PREAI
deleteZwetsloot, Inez M.
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Monitoring count data without a Phase I study: A Poisson case on industrial printers
deleteQuality Engineering
IF2.2
delete2026-03-01
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PREAI
deleteGonzalez-Ibanez, Daniel; Puig, Xavier; Tort-Martorell, Xavier
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A systematic assessment of Large Language Models for constructing two-level fractional factorial designs
deleteQuality Engineering
IF2.2
delete2026-03-01
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PREAI
deleteVazquez, Alan R.; Rother, Kilian M.; Charles-Gonzalez, Marco V.
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A statistical engineering approach to problem-solving
deleteQuality Engineering
IF2.2
delete2026-02-01
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PREAI
deleteMunro, Luke; Hoerl, Roger W.; Snee, Ronald D.; Cudney, Elizabeth A.
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Enhancing Six Sigma with latent variable models: An industrial application of multivariate Six Sigma in the automotive sector
deleteQuality Engineering
IF2.2
delete2026-02-01
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PREAI
deleteGarcia-Carrion, Sergio; Pozueta, Lourdes; Ferrer, Alberto
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Optimal split-plot order-of-addition designs
deleteQuality Engineering
IF2.2
delete2026-02-01
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PREAI
deleteLin, Chang-Yun; Yang, Po
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A conversation with Ron Kenett
deleteQuality Engineering
IF2.2
delete2026-02-01
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PREAI
deleteFaltin, Frederick W.
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What quality engineers need to know about degradation models
deleteQuality Engineering
IF2.2
delete2026-02-01
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PREAI
deleteClark, Jared M.; Min, Jie; Li, Mingyang; Warr, Richard L.; Dehart, Stephanie P.; King, Caleb B.; Lu, Lu; Hong, Yili
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Discussion of COVID vaccine data quality, cleaning, and management
deleteQuality Engineering
IF2.2
delete2026-01-02
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PREAI
deleteJordan, Victoria S.
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Industrial process analytics: Multiscale approaches for integrating process knowledge and data induction for improving industrial processes and products
deleteQuality Engineering
IF2.2
delete2026-01-02
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PREAI
deleteLepore, Antonio
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Discussion on The statistical finite element method: A theoretical foundation for digital twins
deleteQuality Engineering
IF2.2
delete2026-01-02
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PREAI
deleteKonyar, Elif; Paynabar, Kamran
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Industrial process analytics: Multiscale approaches for integrating process knowledge and data induction for improving industrial processes and products
deleteQuality Engineering
IF2.2
delete2026-01-02
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PREAI
deleteReis, Marco S.
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Rejoinder to the discussion of: Industrial process analytics-multiscale approaches for integrating process knowledge and data induction for improving industrial processes and products
deleteQuality Engineering
IF2.2
delete2026-01-02
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PREAI
deleteReis, Marco S.
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Discussion of Industrial process analytics: multiscale approaches for integrating process knowledge and data induction for improving industrial processes and products
deleteQuality Engineering
IF2.2
delete2026-01-02
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PREAI
deletePerry, Marcus B.
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The statistical finite element method: A theoretical foundation for digital twins
deleteQuality Engineering
IF2.2
delete2026-01-02
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PREAI
deleteDuffin, Connor; Glyn-Davies, Alex; Vadeboncoeur, Arnaud; Girolami, Mark
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The Rejoinder
deleteQuality Engineering
IF2.2
delete2026-01-02
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PREAI
deleteAyres, Kelly; Zhao, Longwen; Megahed, Fadel M.; Jones-Farmer, L. Allison; Burroughs, Thomas E.; Rigdon, Steven E.
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Modernizing full posterior inference for surrogate modeling of categorical-output simulation experiments
deleteQuality Engineering
IF2.2
delete2026-01-02
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PREAI
deleteCooper, Andrew; Booth, Annie S.; Gramacy, Robert B.
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Statistical solutions for interdisciplinary problem-solving
deleteQuality Engineering
IF2.2
delete2026-01-02
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PREAI
deleteWendelberger, Joanne R.
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