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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
3 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
23 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)

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
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
41 Citations (Scopus)

A modern framework for achieving enterprise excellence

Montgomery, D., Jan 1 2010, In : International Journal of Lean Six Sigma. 1, 1, p. 56-65 10 p.

Research output: Contribution to journalArticle

Industry
Education
Quality management
Design for Six Sigma
Excellence
2 Citations (Scopus)

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
7 Citations (Scopus)

Analysis of signal-response systems using generalized linear mixed models

Gupta, S., Kulahci, M., Montgomery, D. & Borror, C. M., Jun 2010, In : Quality and Reliability Engineering International. 26, 4, p. 375-385 11 p.

Research output: Contribution to journalArticle

Generalized linear mixed model
Variance components
Design for Six Sigma
Robust design
Modeling
2 Citations (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

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
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
9 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
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
38 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
6 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
20 Citations (Scopus)

A statistical Markov chain approximation of transient hospital inpatient inventory

Broyles, J. R., Cochran, J. K. & Montgomery, D., Dec 16 2010, In : European Journal of Operational Research. 207, 3, p. 1645-1657 13 p.

Research output: Contribution to journalArticle

Markov Chain Approximation
Markov processes
Inventory Systems
Markov chain
Throughput
7 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
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
14 Citations (Scopus)

Comparing computer experiments for fitting high-order polynomial metamodels

Johnson, R. T., Montgomery, D., Jones, B. & Parker, P. A., Jan 2010, In : Journal of Quality Technology. 42, 1, p. 86-102 17 p.

Research output: Contribution to journalArticle

Polynomials
Experiments
Design of experiments
Computer experiments
Simulation
21 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
1 Citation (Scopus)

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
27 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
6 Citations (Scopus)

Designing experiments for nonlinear models - An introduction

Johnson, R. T. & Montgomery, D., Jul 2010, In : Quality and Reliability Engineering International. 26, 5, p. 431-441 11 p.

Research output: Contribution to journalArticle

Experiments
Experiment
Optimal design
Relative efficiency
Efficiency analysis
8 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
12 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

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)
Precision engineering
Environmental technology
Polychlorinated Biphenyls
Energy efficiency
20 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
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
12 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
19 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
18 Citations (Scopus)

Generating and assessing exact G-optimal designs

Rodríguez, M., Jones, B., Borror, C. M. & Montgomery, D., Jan 2010, In : Journal of Quality Technology. 42, 1, p. 3-20 18 p.

Research output: Contribution to journalArticle

Optimal design
Prediction
Variance ratio
Factors
Response surface
3 Citations (Scopus)

Hierarchical modeling using generalized linear models

Kumar, N., Mastrangelo, C. & Montgomery, D., Oct 2011, In : Quality and Reliability Engineering International. 27, 6, p. 835-842 8 p.

Research output: Contribution to journalArticle

Semiconductor materials
Modeling
Generalized linear model
Performance measures
Variance estimation
7 Citations (Scopus)

Hybrid control charts for active control and monitoring of concrete strength

Laungrungrong, B., Mobasher, B., Montgomery, D. & Borror, C. M., Jan 2010, In : Journal of Materials in Civil Engineering. 22, 1, p. 77-87 11 p., 006001QMT.

Research output: Contribution to journalArticle

Concretes
Monitoring
Statistical process control
Concrete mixtures
Construction industry

Important research themes from volume 26 2010

Montgomery, D., Apr 2011, In : Quality and Reliability Engineering International. 27, 3, p. 249-250 2 p.

Research output: Contribution to journalArticle

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
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
8 Citations (Scopus)

Measurement of ocular surface protection under natural blink conditions

Abelson, R., Lane, K. J., Angjeli, E., Johnston, P., Ousler, G. & Montgomery, D., Sep 22 2011, In : Clinical Ophthalmology. 5, 1, p. 1349-1357 9 p.

Research output: Contribution to journalArticle

Tears
Television
Fluorescein
1 Citation (Scopus)
Experiments
Design of experiments
Genetic algorithms
Optimal design
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

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

Optimization of a microfluidic mixing process for gene expression-based bio-dosimetry

Shinde, S. M., Orozco, C., Brengues, M., Lenigk, R., Montgomery, D. & Zenhausern, F., Jan 2011, In : Quality Engineering. 23, 1, p. 59-70 12 p.

Research output: Contribution to journalArticle

Microfluidics
Gene expression
Dosimetry
Radiation
Experiments
8 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

Partial replication of definitive screening designs

Jones, B., Hunter, J. S. & Montgomery, D. C., Jan 1 2019, (Accepted/In press) In : Quality Engineering.

Research output: Contribution to journalArticle

Screening
Costs
4 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
1 Citation (Scopus)

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
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
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