Making New BELTS: How a university medical center used LSS to improve quality and cut costs.
- Published in:
- Lean & Six Sigma Review, 2022, v. 21, n. 4, p. 10
- By:
- Publication type:
- Article
Works matching AU Does, Ronald J. M. M.
Results: 52
1
2
The usefulness of lean six sigma to the development of a clinical pathway for hip fractures.
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- Journal of Evaluation in Clinical Practice, 2013, v. 19, n. 5, p. 909, doi. 10.1111/j.1365-2753.2012.01875.x
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3
Comparison of bias-reducing methods for estimating the parameter in dilution series.
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- Communications in Statistics: Simulation & Computation, 1988, v. 17, n. 4, p. 1173, doi. 10.1080/03610918808812719
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4
Lean Six Sigma Deployment and Maturity Models: A Critical Review.
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- Quality Management Journal, 2017, v. 24, n. 4, p. 6
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5
Perceptions of Lean Six Sigma: A Multiple Case Study in the Financial Services Industry.
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- Quality Management Journal, 2016, v. 23, n. 2, p. 29, doi. 10.1080/10686967.2016.11918470
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6
Generic Lean Six Sigma Project Definitions in Financial Services.
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- Quality Management Journal, 2008, v. 15, n. 4, p. 32, doi. 10.1080/10686967.2008.11918203
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7
Design methods for some dose-response models.
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- Statistics in Medicine, 1990, v. 9, n. 11, p. 1353, doi. 10.1002/sim.4780091112
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8
Reply.
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- Technometrics, 1995, v. 37, n. 1, p. 36, doi. 10.1080/00401706.1995.10485887
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- Publication type:
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9
Comparison of threshold tuning methods for predictive monitoring.
- Published in:
- Quality & Reliability Engineering International, 2024, v. 40, n. 1, p. 499, doi. 10.1002/qre.3436
- By:
- Publication type:
- Article
10
Predictive monitoring using machine learning algorithms and a real‐life example on schizophrenia.
- Published in:
- Quality & Reliability Engineering International, 2022, v. 38, n. 3, p. 1302, doi. 10.1002/qre.2957
- By:
- Publication type:
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11
The performance of control charts for large non‐normally distributed datasets.
- Published in:
- Quality & Reliability Engineering International, 2018, v. 34, n. 6, p. 979, doi. 10.1002/qre.2287
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12
Enhancing the Performance of Exponentially Weighted Moving Average Charts: Discussion.
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- Quality & Reliability Engineering International, 2015, v. 31, n. 4, p. 721, doi. 10.1002/qre.1615
- By:
- Publication type:
- Article
13
Robust CUSUM Control Charting for Process Dispersion.
- Published in:
- Quality & Reliability Engineering International, 2015, v. 31, n. 3, p. 369, doi. 10.1002/qre.1596
- By:
- Publication type:
- Article
14
Memory-Type Control Charts for Monitoring the Process Dispersion.
- Published in:
- Quality & Reliability Engineering International, 2014, v. 30, n. 5, p. 623, doi. 10.1002/qre.1514
- By:
- Publication type:
- Article
15
A Robust.
- Published in:
- Quality & Reliability Engineering International, 2013, v. 29, n. 7, p. 951, doi. 10.1002/qre.1447
- By:
- Publication type:
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16
CS-EWMA Chart for Monitoring Process Dispersion.
- Published in:
- Quality & Reliability Engineering International, 2013, v. 29, n. 5, p. 653, doi. 10.1002/qre.1414
- By:
- Publication type:
- Article
17
Mixed Exponentially Weighted Moving Average-Cumulative Sum Charts for Process Monitoring.
- Published in:
- Quality & Reliability Engineering International, 2013, v. 29, n. 3, p. 345, doi. 10.1002/qre.1385
- By:
- Publication type:
- Article
18
On the performance of different control charting rules.
- Published in:
- Quality & Reliability Engineering International, 2011, v. 27, n. 8, p. 1059, doi. 10.1002/qre.1195
- By:
- Publication type:
- Article
19
Process improvement in healthcare: overall resource efficiency.
- Published in:
- Quality & Reliability Engineering International, 2011, v. 27, n. 8, p. 1095, doi. 10.1002/qre.1198
- By:
- Publication type:
- Article
20
Enhancing the performance of EWMA charts.
- Published in:
- Quality & Reliability Engineering International, 2011, v. 27, n. 6, p. 821, doi. 10.1002/qre.1175
- By:
- Publication type:
- Article
21
Improving the performance of CUSUM charts.
- Published in:
- Quality & Reliability Engineering International, 2011, v. 27, n. 4, p. 415, doi. 10.1002/qre.1124
- By:
- Publication type:
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22
The &Xmacr; control chart under non-normality.
- Published in:
- Quality & Reliability Engineering International, 2010, v. 26, n. 2, p. 167, doi. 10.1002/qre.1029
- By:
- Publication type:
- Article
23
Design schemes for the &Xmacr; control chart.
- Published in:
- Quality & Reliability Engineering International, 2009, v. 25, n. 5, p. 581, doi. 10.1002/qre.991
- By:
- Publication type:
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24
A head-to-head comparison of the out-of-control performance of control charts adjusted for parameter estimation.
- Published in:
- Quality Engineering, 2020, v. 32, n. 4, p. 643, doi. 10.1080/08982112.2019.1666140
- By:
- Publication type:
- Article
25
Discussion of “Quality and statistical thinking in a parliament and beyond”.
- Published in:
- Quality Engineering, 2018, v. 30, n. 1, p. 27, doi. 10.1080/08982112.2017.1374787
- By:
- Publication type:
- Article
26
Discussion of “Bridging the gap between theory and practice in basic statistical process monitoring”.
- Published in:
- Quality Engineering, 2017, v. 29, n. 1, p. 18, doi. 10.1080/08982112.2016.1210453
- By:
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27
Guest Editorial.
- Published in:
- Quality Engineering, 2016, v. 28, n. 1, p. 2, doi. 10.1080/08982112.2015.1100427
- By:
- Publication type:
- Article
28
Quality quandaries: Improving a customer value stream at a financial service provider.
- Published in:
- 2016
- By:
- Publication type:
- Case Study
29
Quality Quandaries: Precision and Accuracy of Ear Thermometry.
- Published in:
- Quality Engineering, 2015, v. 27, n. 4, p. 512, doi. 10.1080/08982112.2015.1065324
- By:
- Publication type:
- Article
30
Quality Quandaries: Realizing Strategic Focal Points at a Business School.
- Published in:
- Quality Engineering, 2015, v. 27, n. 2, p. 267, doi. 10.1080/08982112.2015.1007146
- By:
- Publication type:
- Article
31
Quality Quandaries: Increasing the First Time Fix Rate in a Customer Contact Center.
- Published in:
- 2015
- By:
- Publication type:
- Case Study
32
Discussion of “An Emerging Science of Improvement in Health Care”.
- Published in:
- Quality Engineering, 2015, v. 27, n. 1, p. 35, doi. 10.1080/08982112.2015.968044
- By:
- Publication type:
- Article
33
Quality Quandaries: Improving Revenue by Attracting More Clients Online.
- Published in:
- 2015
- By:
- Publication type:
- Case Study
34
Quality Quandaries: Improving the Overall Equipment Effectiveness at a Pharmaceutical Company.
- Published in:
- Quality Engineering, 2014, v. 26, n. 4, p. 478, doi. 10.1080/08982112.2014.936457
- By:
- Publication type:
- Article
35
Discussion of “Statistical Thinking and Methods in Quality Improvement: A Look to the Future”.
- Published in:
- Quality Engineering, 2010, v. 22, n. 3, p. 130, doi. 10.1080/08982111003800463
- By:
- Publication type:
- Article
36
An EWMA-Type Control Chart for Monitoring the Process Mean Using Auxiliary Information.
- Published in:
- Communications in Statistics: Theory & Methods, 2014, v. 43, n. 16, p. 3485, doi. 10.1080/03610926.2012.700368
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37
Handling multivariate problems with univariate control charts.
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- Journal of Chemometrics, 1999, v. 13, n. 3/4, p. 353, doi. 10.1002/(SICI)1099-128X(199905/08)13:3/4<353::AID-CEM542>3.0.CO;2-J
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- Publication type:
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38
The Search for an Outcome Variable That Measures Both Quality and Processes in Cardiac Surgery: Comparing the Quality Process Index and Mortality.
- Published in:
- Healthcare (2227-9032), 2023, v. 11, n. 10, p. 1419, doi. 10.3390/healthcare11101419
- By:
- Publication type:
- Article
39
Industrial statistics: a discipline with opportunities and challenges.
- Published in:
- Statistica Neerlandica, 2006, v. 60, n. 3, p. 270, doi. 10.1111/j.1467-9574.2006.00329.x
- By:
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40
Editorial introduction.
- Published in:
- 2006
- By:
- Publication type:
- Editorial
41
THE ASYMPTOTIC BEHAVIOR OF SIMPLE LINEAR RANK STATISTICS.
- Published in:
- Statistica Neerlandica, 1984, v. 38, n. 2, p. 109, doi. 10.1111/j.1467-9574.1984.tb01102.x
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42
Multilevel model versus recurrent neural network: A case study to predict student success or failure revisited.
- Published in:
- Journal of Quality Technology, 2025, v. 57, n. 2, p. 161, doi. 10.1080/00224065.2024.2435870
- By:
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- Article
43
Multilevel process monitoring: A case study to predict student success or failure.
- Published in:
- Journal of Quality Technology, 2022, v. 54, n. 2, p. 127, doi. 10.1080/00224065.2020.1828008
- By:
- Publication type:
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44
On guaranteed in-control performance for the Shewhart X and Ẋ control charts.
- Published in:
- Journal of Quality Technology, 2018, v. 50, n. 1, p. 130, doi. 10.1080/00224065.2018.1404876
- By:
- Publication type:
- Article
45
Discussion.
- Published in:
- Journal of Quality Technology, 2018, v. 50, n. 1, p. 17, doi. 10.1080/00224065.2018.1404886
- By:
- Publication type:
- Article
46
Guaranteed In-Control Performance for the Shewhart X and X̅ Control Charts.
- Published in:
- Journal of Quality Technology, 2017, v. 49, n. 2, p. 155, doi. 10.1080/00224065.2017.11917986
- By:
- Publication type:
- Article
47
A Robust Estimator for Location in Phase I Based on an EWMA Chart.
- Published in:
- Journal of Quality Technology, 2014, v. 46, n. 4, p. 302, doi. 10.1080/00224065.2014.11917973
- By:
- Publication type:
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48
RESPONSE TO THE LETTER TO THE EDITOR.
- Published in:
- 2013
- By:
- Publication type:
- Letter
49
Robust Location Estimators for the ¯X Control Chart.
- Published in:
- Journal of Quality Technology, 2011, v. 43, n. 4, p. 363, doi. 10.1080/00224065.2011.11917870
- By:
- Publication type:
- Article
50
Design and Analysis of Control Charts for Standard Deviation with Estimated Parameters.
- Published in:
- Journal of Quality Technology, 2011, v. 43, n. 4, p. 307, doi. 10.1080/00224065.2011.11917867
- By:
- Publication type:
- Article