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1969 …2022
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Research Output 1969 2019

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2019

Comparing D-optimal designs with common mixture experimental designs for logistic regression

Mancenido, M., Pan, R., Montgomery, D. & Anderson-Cook, C. M., Apr 15 2019, In : Chemometrics and Intelligent Laboratory Systems. 187, p. 11-18 8 p.

Research output: Contribution to journalArticle

Design of experiments
Logistics
Optimal design
Experiments
3 Citations (Scopus)

Paper-based Vertical Flow Immunoassay (VFI) for detection of bio-threat pathogens

Chen, P., Gates-Hollingsworth, M., Pandit, S., Park, A., Montgomery, D., AuCoin, D., Gu, J. & Zenhausern, F., Jan 1 2019, In : Talanta. 191, p. 81-88 8 p.

Research output: Contribution to journalArticle

Pathogens
Immunoassay
Burkholderia pseudomallei
Membranes
Equipment and Supplies
2018
3 Citations (Scopus)

Design of experiments and response surface methodology to tune machine learning hyperparameters, with a random forest case-study

Lujan-Moreno, G. A., Howard, P. R., Rojas, O. G. & Montgomery, D., Nov 1 2018, In : Expert Systems with Applications. 109, p. 195-205 11 p.

Research output: Contribution to journalArticle

Design of experiments
Learning algorithms
Learning systems
Screening
Neural networks
1 Citation (Scopus)

Examining potential reductions in wind tunnel testing requirements

Hill, R. R., Ahner, D. K., Dillard, D. A. & Montgomery, D., Jan 1 2018, (Accepted/In press) In : Quality and Reliability Engineering International.

Research output: Contribution to journalArticle

Wind tunnels
Design of experiments
Testing
Sampling
Experiments

Percentile-based control chart design with an application to Shewhart X̅ and S2 control charts

Faraz, A., Saniga, E. & Montgomery, D., Jan 1 2018, (Accepted/In press) In : Quality and Reliability Engineering International.

Research output: Contribution to journalArticle

Control charts
Efficacy
Average run length

Rejoinder

Jensen, W. A., Montgomery, D., Tsung, F. & Vining, G. G., Jan 1 2018, In : Journal of Quality Technology. 50, 1, p. 31-33 3 p.

Research output: Contribution to journalArticle

Selecting a near-optimal design for multiple criteria with improved robustness to different user priorities

Burke, S. E., Lu, L., Anderson-Cook, C. M. & Montgomery, D., Jan 1 2018, (Accepted/In press) In : Quality and Reliability Engineering International.

Research output: Contribution to journalArticle

Optimal design
Multiple criteria
Robustness
Industrial research
Screening

Separation in D-optimal experimental designs for the logistic regression model

Park, A. R., Mancenido, M. & Montgomery, D., Jan 1 2018, (Accepted/In press) In : Quality and Reliability Engineering International.

Research output: Contribution to journalArticle

Design of experiments
Logistics
Maximum likelihood estimation
Experimental design
Logistic regression model
2017

Analysis of definitive screening designs: Screening vs prediction

Weese, M. L., Ramsey, P. J. & Montgomery, D., Jan 1 2017, (Accepted/In press) In : Applied Stochastic Models in Business and Industry.

Research output: Contribution to journalArticle

Screening Design
Screening
Bayesian Information Criterion
Prediction
Statistic

No-confounding designs with 20 runs-Alternatives to resolution IV screening designs

Stone, B. B., Montgomery, D., Silvestrini, R. T. & Jones, B., 2017, (Accepted/In press) In : Quality and Reliability Engineering International.

Research output: Contribution to journalArticle

Screening
Confounding
Factors
Interaction
Costs
2 Citations (Scopus)

Partial replication of small two-level factorial designs

Jones, B. & Montgomery, D., Apr 3 2017, In : Quality Engineering. 29, 2, p. 190-195 6 p.

Research output: Contribution to journalArticle

Experiments
2 Citations (Scopus)

Prioritization of stockpile maintenance with layered Pareto fronts

Burke, S. E., Anderson-Cook, C. M., Lu, L. & Montgomery, D., Oct 25 2017, (Accepted/In press) In : Quality Engineering. p. 1-13 13 p.

Research output: Contribution to journalArticle

Decision making
3 Citations (Scopus)

Systems for modern quality and business improvement

Montgomery, D. & Borror, C. M., Mar 10 2017, (Accepted/In press) In : Quality Technology and Quantitative Management. p. 1-10 10 p.

Research output: Contribution to journalArticle

Statistical process control
Industry
Patents and inventions
Telephone
Quality control
2016
2 Citations (Scopus)

A comparison of two-level designs to estimate all main effects and two-factor interactions

Jones, B., Schoen, E. D. & Montgomery, D., May 11 2016, (Accepted/In press) In : Quality Engineering. p. 1-12 12 p.

Research output: Contribution to journalArticle

Costs
Optimal design
1 Citation (Scopus)

Analysis of subjective ordinal responses in mixture experiments

Mancenido, M., Pan, R. & Montgomery, D., Jan 1 2016, In : Journal of Quality Technology. 48, 2, p. 196-208 13 p.

Research output: Contribution to journalArticle

Fragrances
Experiments
Experiment
Stereotypes
Modeling
18 Citations (Scopus)

Exploring Evolving Media Discourse Through Event Cueing

Lu, Y., Steptoe, M., Burke, S., Wang, H., Tsai, J. Y., Davulcu, H., Montgomery, D., Corman, S. & Maciejewski, R., Jan 31 2016, In : IEEE Transactions on Visualization and Computer Graphics. 22, 1, p. 220-229 10 p., 7192705.

Research output: Contribution to journalArticle

Climate change
Time series
Lenses
2015
2 Citations (Scopus)

Alternatives to resolution III regular fractional factorial designs for 9 - 14 factors in 16 runs

Jones, B., Shinde, S. M. & Montgomery, D., Jan 1 2015, In : Applied Stochastic Models in Business and Industry. 31, 1, p. 50-58 9 p.

Research output: Contribution to journalArticle

Fractional Factorial Design
Main Effect
Alternatives
Design for All
Fractional Factorial
7 Citations (Scopus)

Bridge designs for modeling systems with low noise

Jones, B., Silvestrini, R. T., Montgomery, D. & Steinberg, D. M., Apr 3 2015, In : Technometrics. 57, 2, p. 155-163 9 p.

Research output: Contribution to journalArticle

System Modeling
D-optimal Design
Latin Hypercube Design
Projection
Gaussian Model
2 Citations (Scopus)

Phase II monitoring of polynomial and nonlinear profiles using a p-value approach

Adibi, A., Borror, C. M. & Montgomery, D., 2015, In : International Journal of Quality Engineering and Technology. 5, 2, p. 101-113 13 p.

Research output: Contribution to journalArticle

Polynomials
Monitoring
Process monitoring
Control charts

Rejoinder to 'alternatives to resolution III regular fractional factorial designs for 9 - 14 factors in 16 runs'

Jones, B. A., Shinde, S. M. & Montgomery, D., Jan 1 2015, In : Applied Stochastic Models in Business and Industry. 31, 1, p. 62-63 2 p.

Research output: Contribution to journalArticle

Fractional Factorial Design
Alternatives
Factorial design
Factors
2014

An expected cost methodology for screening design selection

Stone, B. B., Montgomery, D., Hassler, E. & Silvestrini, R. T., 2014, In : Quality Engineering. 26, 2, p. 139-153 15 p.

Research output: Contribution to journalArticle

Screening
Costs
Decision trees
Design of experiments
Experiments
8 Citations (Scopus)

A one-sided MEWMA control chart for Poisson-distributed data

Laungrungrong, B., Borror, C. M. & Montgomery, D., 2014, In : International Journal of Data Analysis Techniques and Strategies. 6, 1, p. 15-42 28 p.

Research output: Contribution to journalArticle

Exponentially Weighted Moving Average Control Chart
Exponentially Weighted Moving Average
Siméon Denis Poisson
Poisson distribution
Process Mean
5 Citations (Scopus)

A P-value approach for Phase II monitoring of multivariate profiles

Adibi, A., Montgomery, D. & Borror, C. M., 2014, In : International Journal of Quality Engineering and Technology. 4, 2, p. 133-143 11 p.

Research output: Contribution to journalArticle

Monitoring
Linear regression
Control charts
4 Citations (Scopus)

Big data and the quality profession

Montgomery, D., 2014, In : Quality and Reliability Engineering International. 30, 4, p. 447 1 p.

Research output: Contribution to journalArticle

Big data
1 Citation (Scopus)
Precision engineering
Environmental technology
Polychlorinated biphenyls
Energy efficiency
Lamination
4 Citations (Scopus)

Lean six sigma and promoting innovation

Montgomery, D., Feb 2014, In : Quality and Reliability Engineering International. 30, 1, p. 1 1 p.

Research output: Contribution to journalArticle

Innovation
Six sigma
Lean Six Sigma
10 Citations (Scopus)

Modeling and analyzing semiconductor yield with generalized linear mixed models

Krueger, D. C. & Montgomery, D., Nov 1 2014, In : Applied Stochastic Models in Business and Industry. 30, 6, p. 691-707 17 p.

Research output: Contribution to journalArticle

Generalized Linear Mixed Model
Semiconductors
Semiconductor materials
Modeling
Link Function
4 Citations (Scopus)

Phase II monitoring of linear profiles using a P-value approach

Adibi, A., Montgomery, D. & Borror, C. M., 2014, In : International Journal of Quality Engineering and Technology. 4, 2, p. 97-106 10 p.

Research output: Contribution to journalArticle

Monitoring
Control charts
4 Citations (Scopus)

Simultaneous improvement of energy efficiency and product quality in PCB lamination process

Park, Y. J., Pan, R., Borror, C. M., Montgomery, D. & Lee, G. B., 2014, In : International Journal of Precision Engineering and Manufacturing - Green Technology. 1, 3, p. 247-256 10 p.

Research output: Contribution to journalArticle

Printed circuit boards
Energy efficiency
Photolithography
Energy resources
Industry
119 Citations (Scopus)

Some current directions in the theory and application of statistical process monitoring

Woodall, W. H. & Montgomery, D., Jan 2014, In : Journal of Quality Technology. 46, 1, p. 78-94 17 p.

Research output: Contribution to journalArticle

Process monitoring
Monitoring
Error analysis
Health
5 Citations (Scopus)

Stu Hunter's contributions to experimental design and quality engineering

Montgomery, D., Jan 2 2014, In : Quality Engineering. 26, 1, p. 5-15 11 p.

Research output: Contribution to journalArticle

Design of experiments
Product design
Process design
2013
19 Citations (Scopus)

Comparing computer experiments for the Gaussian process model using integrated prediction variance

Silvestrini, R. T., Montgomery, D. & Jones, B., 2013, In : Quality Engineering. 25, 2, p. 164-174 11 p.

Research output: Contribution to journalArticle

Design of experiments
Experiments
Regression analysis

Editorial

Montgomery, D., Jul 2013, In : Quality and Reliability Engineering International. 29, 5, p. 619 1 p.

Research output: Contribution to journalArticle

Editorial

Montgomery, D., Apr 2013, In : Quality and Reliability Engineering International. 29, 3, p. 305 1 p.

Research output: Contribution to journalArticle

1 Citation (Scopus)

Lean six sigma and quality management

Montgomery, D., Nov 2013, In : Quality and Reliability Engineering International. 29, 7, p. 935 1 p.

Research output: Contribution to journalArticle

Quality management
Six sigma
Lean Six Sigma
2012

A case study involving mixture-process variable experiments within a split-plot structure

Cho, T. Y., Montgomery, D. & Borror, C. M., Jan 1 2012, In : Quality Engineering. 24, 1, p. 80-93 14 p.

Research output: Contribution to journalArticle

Experiments
Random errors
Costs
31 Citations (Scopus)

Application of Six Sigma DMAIC methodology in a transactional environment

Antony, J., Bhuller, A. S., Kumar, M., Mendibil, K. & Montgomery, D., Jan 2012, In : International Journal of Quality and Reliability Management. 29, 1, p. 31-53 23 p.

Research output: Contribution to journalArticle

Communication management
Six Sigma
Methodology
Information management
Communication systems
23 Citations (Scopus)

Deploying LSS in a global enterprise – project identification

Duarte, B., Montgomery, D., Fowler, J. & Konopka, J., Jan 1 2012, In : International Journal of Lean Six Sigma. 3, 3, p. 187-205 19 p.

Research output: Contribution to journalArticle

Industry
Unsupervised learning
Clustering algorithms
Six sigma
Lean Six Sigma
15 Citations (Scopus)

Designed experiments for the defense community

Johnson, R. T., Hutto, G. T., Simpson, J. R. & Montgomery, D., Jan 1 2012, In : Quality Engineering. 24, 1, p. 60-79 20 p.

Research output: Contribution to journalArticle

Design of experiments
Industry
Total quality management
Military applications
Experiments
11 Citations (Scopus)

Experiments for reliability achievement

Rigdon, S. E., Englert, B. R., Lawson, I. A., Borror, C. M., Montgomery, D. & Pan, R., Dec 1 2012, In : Quality Engineering. 25, 1, p. 54-72 19 p.

Research output: Contribution to journalArticle

Design of experiments
Normal distribution
Software packages
Experiments
26 Citations (Scopus)

Statistical engineering-forming the foundations

Anderson-Cook, C. M., Lu, L., Clark, G., Dehart, S. P., Hoerl, R., Jones, B., MacKay, R. J., Montgomery, D., Parker, P. A., Simpson, J., Snee, R., Steiner, S. H., Van Mullekom, J., Vining, G. G. & Wilson, A. G., Apr 1 2012, In : Quality Engineering. 24, 2, p. 110-132 23 p.

Research output: Contribution to journalArticle

Statistical methods
Information technology
Economics
Industry
Six sigma
15 Citations (Scopus)

Statistical engineering-roles for statisticians and the path forward

Anderson-Cook, C. M., Lu, L., Clark, G., Dehart, S. P., Hoerl, R., Jones, B., MacKay, R. J., Montgomery, D., Parker, P. A., Simpson, J., Snee, R., Steiner, S. H., Van Mullekom, J., Vining, G. G. & Wilson, A. G., Apr 1 2012, In : Quality Engineering. 24, 2, p. 133-152 20 p.

Research output: Contribution to journalArticle

Industry
Students
Statistics
5 Citations (Scopus)

Validation and verification of the OPI 2.0 System

Abelson, R., Lane, K. J., Rodriguez, J., Johnston, P., Angjeli, E., Ousler, G. & Montgomery, D., Apr 18 2012, In : Clinical Ophthalmology. 6, 1, p. 613-622 10 p.

Research output: Contribution to journalArticle

Software Validation
Staining and Labeling
Fluorescein
Tears
Cornea
2011
22 Citations (Scopus)

A generalized linear model approach to designing accelerated life test experiments

Monroe, E. M., Pan, R., Anderson-Cook, C. M., Montgomery, D. & Borror, C. M., Jun 2011, In : Quality and Reliability Engineering International. 27, 4, p. 595-607 13 p.

Research output: Contribution to journalArticle

Design of experiments
Parameter estimation
Maximum likelihood
Experiments
Planning
2 Citations (Scopus)

A Markov decision process to dynamically match hospital inpatient staffing to demand

Broyles, J. R., Cochran, J. K. & Montgomery, D., 2011, In : IIE Transactions on Healthcare Systems Engineering. 1, 2, p. 116-130 15 p.

Research output: Contribution to journalArticle

Markov Chains
staffing
Inpatients
demand
Throughput
20 Citations (Scopus)

An expository paper on optimal design

Johnson, R. T., Montgomery, D. & Jones, B. A., Jul 2011, In : Quality Engineering. 23, 3, p. 287-301 15 p.

Research output: Contribution to journalArticle

Design of experiments
Optimal design
Experiments
12 Citations (Scopus)

Application of generalized linear models to predict semiconductor yield using defect metrology data

Krueger, D. C., Montgomery, D. & Mastrangelo, C. M., Feb 2011, In : IEEE Transactions on Semiconductor Manufacturing. 24, 1, p. 44-58 15 p., 5613203.

Research output: Contribution to journalArticle

metrology
Semiconductor materials
Defects
defects
forecasting
11 Citations (Scopus)

Design of Experiments for non-manufacturing processes: Benefits, challenges and some examples

Antony, J., Coleman, S., Montgomery, D., Anderson, M. J. & Silvestrini, R. T., Nov 2011, In : Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 225, 11, p. 2078-2087 10 p.

Research output: Contribution to journalArticle

Design of experiments
Product design
Process design
Industry
19 Citations (Scopus)

EWMA control charts for multivariate Poisson-distributed data

Laungrungrong, B., Borror, C. M. & Montgomery, D., 2011, In : International Journal of Quality Engineering and Technology. 2, 3, p. 185-211 27 p.

Research output: Contribution to journalArticle

Poisson distribution
Monitoring
Control charts