Douglas C. Montgomery

Arizona State University — United States

Decision Sciences · Social Sciences

78h-index62.3kcitations574works2.62yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Advanced Statistical Process Monitoring(185), Optimal Experimental Design Methods(163), Advanced Statistical Methods and Models(105), Advanced Multi-Objective Optimization Algorithms(86), Scientific Measurement and Uncertainty Evaluation(61)

Publications574 total

A portable multiplex vertical flow immunoassay platform for Tier 1 biothreat detection in biofluids and environmental matrices
Biosensors and Bioelectronics·2026
Analysis Methods for Non‐Regular Two‐Level Fractional Factorial Designs With 20 and 24 Runs
Quality and Reliability Engineering International·2025
Near-infrared induced photothermal lateral-flow immunoassay utilizing plasmonics-active gold nanostars
Analytica Chimica Acta·2025· 2 cited
Development of a high-sensitivity vertical flow immunoassay for the detection of Rift Valley fever virus
Microbiology Spectrum·2025Open Access
A critical assessment of neutrosophic statistical methods
Quality Engineering·2025· 4 cited
Magneto-Plasmonics-Enhanced Colorimetric Lateral Flow Immunoassay Using Magnetic-Gold Nanostars
2025· 1 citedOpen Access
Constructing D-optimal designs for mixture-process variable experiments with binary responses
International Journal of Experimental Design and Process Optimisation·2025
Introduction to Probability and Statistics for Data Science
Cambridge University Press eBooks·2024· 1 cited
Editorial advice for selecting an open-source license for your next paper: Navigating copyrights for publicly facing AI chatbots
Journal of Quality Technology·2024Open Access
Introducing ChatSQC: Enhancing statistical quality control with augmented AI
Journal of Quality Technology·2024· 4 citedOpen Access
Plasmonic-Enhanced Colorimetric Lateral Flow Immunoassays Using Bimetallic Silver-Coated Gold Nanostars
ACS Applied Materials & Interfaces·2024· 19 cited
An Introduction to Design and Analysis of Reliability Experiments
Wiley StatsRef: Statistics Reference Online·2024
Optimal Designs for Multi-Response Experiments
Military Operations Research·2024· 2 cited
Publishing an applied statistics paper: Guidance and advice from editors
Quality and Reliability Engineering International·2024· 2 cited
The 100th anniversary of the control chart
Journal of Quality Technology·2024· 13 citedOpen Access
Predictive models for functional responses in mixture experiments using SVEM: a case study in rheological analysis
International Journal of Experimental Design and Process Optimisation·2024
Optimal experimental designs for hypothesis testing with multiple factors: maximising power for the biological sciences
International Journal of Experimental Design and Process Optimisation·2024· 1 cited
Predictive models for functional responses in mixture experiments using SVEM: a case study in rheological analysis
International Journal of Experimental Design and Process Optimisation·2024
Hyperparameter Tuning of Deep Learning Models Using Maxpro Space Filling Methodology
SSRN Electronic Journal·2024Open Access
Analysis of Electromagnetic Interference Effect on Semiconductor Scanning Electron Microscope Image Distortion
Applied Sciences·2023· 5 citedOpen Access
page 1 of 29Next →

Frequent Co-authors

Raymond H. Myers(5), George C. Runger(5), Connie M. Borror(5), William H. Woodall(5), Elizabeth A. Peck(4), G. Geoffrey Vining(2), Shilpa Gupta(2), William W. Hines(2), Enrique Del Castillo(2), Richard K. Burdick(2), David E. Coleman(2), Richard F. Gunst(1), Roger Sauter(1), Renato Assunção(1), Paul D. Sampson(1), Melvin Alexander(1), John V. Grice(1), Syamala Srinivasan(1), Lawrence L. Kupper(1), Bert Gunter(1)