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Improving the performance of the attribute charts: X¯tn$\bar{X}_{tn}$ and Stn2$S^2_{tn}

Quality and reliability engineering international, 2022-03, Vol.38 (2), p.703-732

2022

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How did healthcare professionals define patient engagement in quality management? A survey study

BMC health services research, 2023-02, Vol.23 (1), p.173-173, Article 173

2023

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CUSUM control charts to monitor series of Negative Binomial count data

Statistical methods in medical research, 2017-08, Vol.26 (4), p.1925-1935

2017

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Refurbishing and recycling of cell phones as a sustainable process of reverse logistics: A case study in Brazil

Journal of cleaner production, 2021-02, Vol.283, p.124585, Article 124585

2021

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Repairable System Analysis Using the Discrete Weibull Distribution

IEEE transactions on reliability, 2023-12, Vol.72 (4), p.1507-1514

2023

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Klein's supplementary runs rules on X¯$\overline{X}$ chart to control the mean of a Weibull random variable

Quality and reliability engineering international, 2022-06, Vol.38 (4), p.1750-1759

2022

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How do hospitals engage patients and family members in quality management? A grounded theory study of hospitals in Brazil

BMJ open, 2022-08, Vol.12 (8), p.e055926-e055926

2022

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The use of npx$np_{x}$‐type attribute charts to monitor the variance

Quality and reliability engineering international, 2022-03, Vol.38 (2), p.877-886

2022

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An alternative model for on-line quality monitoring for variables

International journal of production economics, 2007-05, Vol.107 (1), p.202-222

2007

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An approach for improvements on the attribute npx$np_x$ control chart

Quality and reliability engineering international, 2022-11, Vol.38 (7), p.3342-3356

2022

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Attribute Charts for Monitoring the Mean Vector of Bivariate Processes

Quality and reliability engineering international, 2015-06, Vol.31 (4), p.683-693

2015

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Main quality programs characteristics in large size Brazilian companies

The International journal of quality & reliability management, 2008-03, Vol.25 (3), p.276-291

2008

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Thermoelectric dispatch: From utopian planning to reality

Energy policy, 2017-07, Vol.106, p.266-277

2017

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Triaxial resilient modulus regression models for cold recycled asphalt mixtures

Road materials and pavement design, 2024-06, Vol.25 (sup1), p.166-180

2024

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Clean Production of Biofuel from Waste Cooking Oil to Reduce Emissions, Fuel Cost, and Respiratory Disease Hospitalizations

Sustainability, 2021-08, Vol.13 (16), p.9185

2021

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Use of regression trees to predict overweight trucks from historical weigh-in-motion data

Journal of Traffic and Transportation Engineering (English Edition), 2020-12, Vol.7 (6), p.843-859

2020

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On-Line Process Control using Attributes with Misclassification Errors: An Economical Design for Short-Run Production

Communications in statistics. Theory and methods, 2012-05, Vol.41 (10), p.1813-1832

2012

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Control charts to monitor integer valued autoregressive process with inflation or deflation of zeros

Journal of statistics & management systems, 2020-11, Vol.23 (8), p.1463-1484

2020

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A 2‐Stage Attribute‐Variable Control Chart to Monitor a Vector of Process Means

Quality and reliability engineering international, 2017-11, Vol.33 (7), p.1589-1599

2017

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Optimizing additive manufacturing parameters for the fused deposition modeling technology using a design of experiments

Progress in additive manufacturing, 2019-09, Vol.4 (3), p.291-313

2019

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Combining attribute and variable data to monitor process variability: MIX S 2 control chart

International journal of advanced manufacturing technology, 2016-12, Vol.87 (9-12), p.3389-3396

2016

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Asphalt Binder Linear Amplitude Sweep Test: Contribution Related to the α-Value Estimation

Journal of materials in civil engineering, 2021-02, Vol.33 (2)

2021

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Mixed linear model for the prediction of infiltration rates in urban pervious concrete pavements in dense wooded parks

Revista IBRACON de estruturas e materiais, 2024-06, Vol.17 (3)

2024

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Monitoring the process mean based on attribute inspection when a small sample is available

The Journal of the Operational Research Society, 2015-11, Vol.66 (11), p.1860-1867

2015

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Combining attribute and variable data to monitor process variability: MIX S2 control chart

International journal of advanced manufacturing technology, 2016, Vol.87 (9-12), p.3389-3396

2016

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Improving the performance of the attribute charts: X¯tn$\bar{X}_{tn}$ and Stn2$S^2_{tn}

How did healthcare professionals define patient engagement in quality management? A survey study

CUSUM control charts to monitor series of Negative Binomial count data

Refurbishing and recycling of cell phones as a sustainable process of reverse logistics: A case study in Brazil

Repairable System Analysis Using the Discrete Weibull Distribution

Klein's supplementary runs rules on X¯$\overline{X}$ chart to control the mean of a Weibull random variable

How do hospitals engage patients and family members in quality management? A grounded theory study of hospitals in Brazil

The use of npx$np_{x}$‐type attribute charts to monitor the variance

An alternative model for on-line quality monitoring for variables

An approach for improvements on the attribute npx$np_x$ control chart

Attribute Charts for Monitoring the Mean Vector of Bivariate Processes

Main quality programs characteristics in large size Brazilian companies

Thermoelectric dispatch: From utopian planning to reality

Triaxial resilient modulus regression models for cold recycled asphalt mixtures

Clean Production of Biofuel from Waste Cooking Oil to Reduce Emissions, Fuel Cost, and Respiratory Disease Hospitalizations

Use of regression trees to predict overweight trucks from historical weigh-in-motion data

On-Line Process Control using Attributes with Misclassification Errors: An Economical Design for Short-Run Production

Control charts to monitor integer valued autoregressive process with inflation or deflation of zeros

A 2‐Stage Attribute‐Variable Control Chart to Monitor a Vector of Process Means

Optimizing additive manufacturing parameters for the fused deposition modeling technology using a design of experiments

Combining attribute and variable data to monitor process variability: MIX S 2 control chart

Asphalt Binder Linear Amplitude Sweep Test: Contribution Related to the α-Value Estimation

Mixed linear model for the prediction of infiltration rates in urban pervious concrete pavements in dense wooded parks

Monitoring the process mean based on attribute inspection when a small sample is available

Combining attribute and variable data to monitor process variability: MIX S2 control chart

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