Modeling of textile manufacturing processes using intelligent techniques: a review.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2021, v. 116, n. 1/2, p. 39, doi. 10.1007/s00170-021-07444-1
- By:
- Publication type:
- Article
Works by Tran, Kim Phuc
Results: 31
1
2
One-sided variable sampling interval EWMA control charts for monitoring the multivariate coefficient of variation in the presence of measurement errors.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2021, v. 115, n. 5/6, p. 1821, doi. 10.1007/s00170-021-07138-8
- By:
- Publication type:
- Article
3
On the effect of the measurement error on Shewhart t and EWMA t control charts.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2020, v. 107, n. 9/10, p. 4317, doi. 10.1007/s00170-020-05222-z
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- Publication type:
- Article
4
On the performance of CUSUM control charts for monitoring the coefficient of variation with measurement errors.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2019, v. 104, n. 5-8, p. 1903, doi. 10.1007/s00170-019-03987-6
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- Publication type:
- Article
5
On the performance of VSI Shewhart control chart for monitoring the coefficient of variation in the presence of measurement errors.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2019, v. 104, n. 1-4, p. 211, doi. 10.1007/s00170-019-03352-7
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- Publication type:
- Article
6
The Shewhart-type RZ control chart for monitoring the ratio of autocorrelated variables.
- Published in:
- International Journal of Production Research, 2023, v. 61, n. 20, p. 6746, doi. 10.1080/00207543.2022.2137594
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- Publication type:
- Article
7
Security strategies for AI systems in Industry 4.0.
- Published in:
- Quality & Reliability Engineering International, 2025, v. 41, n. 2, p. 897, doi. 10.1002/qre.3678
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- Publication type:
- Article
8
Design of a variable sampling interval exponentially weighted moving average median control chart in presence of measurement errors.
- Published in:
- Quality & Reliability Engineering International, 2021, v. 37, n. 1, p. 374, doi. 10.1002/qre.2726
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- Publication type:
- Article
9
Performance of the MEWMA‐CoDa control chart in the presence of measurement errors.
- Published in:
- Quality & Reliability Engineering International, 2020, v. 36, n. 7, p. 2411, doi. 10.1002/qre.2705
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- Publication type:
- Article
10
Effect of the measurement errors on two one‐sided Shewhart control charts for monitoring the ratio of two normal variables.
- Published in:
- Quality & Reliability Engineering International, 2020, v. 36, n. 5, p. 1731, doi. 10.1002/qre.2656
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- Publication type:
- Article
11
CUSUM control charts with variable sampling interval for monitoring the ratio of two normal variables.
- Published in:
- Quality & Reliability Engineering International, 2020, v. 36, n. 2, p. 474, doi. 10.1002/qre.2595
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- Publication type:
- Article
12
An EWMA control chart for the multivariate coefficient of variation.
- Published in:
- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1515, doi. 10.1002/qre.2459
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- Publication type:
- Article
13
A Synthetic median control chart for monitoring the process mean with measurement errors.
- Published in:
- Quality & Reliability Engineering International, 2019, v. 35, n. 4, p. 1100, doi. 10.1002/qre.2447
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- Publication type:
- Article
14
Monitoring the ratio of two normal variables using variable sampling interval exponentially weighted moving average control charts.
- Published in:
- Quality & Reliability Engineering International, 2019, v. 35, n. 1, p. 439, doi. 10.1002/qre.2412
- By:
- Publication type:
- Article
15
On the performance of coefficient of variation charts in the presence of measurement errors.
- Published in:
- Quality & Reliability Engineering International, 2019, v. 35, n. 1, p. 329, doi. 10.1002/qre.2402
- By:
- Publication type:
- Article
16
Monitoring compositional data using multivariate exponentially weighted moving average scheme.
- Published in:
- Quality & Reliability Engineering International, 2018, v. 34, n. 3, p. 391, doi. 10.1002/qre.2260
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- Publication type:
- Article
17
Steady‐state ARL analysis of ARL‐unbiased EWMA‐RZ control chart monitoring the ratio of two normal variables.
- Published in:
- Quality & Reliability Engineering International, 2018, v. 34, n. 3, p. 377, doi. 10.1002/qre.2259
- By:
- Publication type:
- Article
18
Run Rules median control charts for monitoring process mean in manufacturing.
- Published in:
- Quality & Reliability Engineering International, 2017, v. 33, n. 8, p. 2437, doi. 10.1002/qre.2201
- By:
- Publication type:
- Article
19
On the Performance of Shewhart median Chart in the Presence of Measurement Errors.
- Published in:
- Quality & Reliability Engineering International, 2017, v. 33, n. 5, p. 1019, doi. 10.1002/qre.2087
- By:
- Publication type:
- Article
20
Monitoring the Ratio of Two Normal Variables Using EWMA Type Control Charts.
- Published in:
- Quality & Reliability Engineering International, 2016, v. 32, n. 5, p. 1853, doi. 10.1002/qre.1918
- By:
- Publication type:
- Article
21
The efficiency of CUSUM schemes for monitoring the coefficient of variation.
- Published in:
- Applied Stochastic Models in Business & Industry, 2016, v. 32, n. 6, p. 870, doi. 10.1002/asmb.2213
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- Publication type:
- Article
22
Variable sampling interval Shewhart control charts for monitoring the multivariate coefficient of variation.
- Published in:
- Applied Stochastic Models in Business & Industry, 2019, v. 35, n. 5, p. 1253, doi. 10.1002/asmb.2472
- By:
- Publication type:
- Article
23
Forecasting Sales Profiles of Products in an Exceptional Context: COVID-19 Pandemic.
- Published in:
- International Journal of Computational Intelligence Systems, 2022, v. 15, n. 1, p. 1, doi. 10.1007/s44196-022-00161-x
- By:
- Publication type:
- Article
24
Artificial Intelligence for Smart Manufacturing: Methods and Applications.
- Published in:
- 2021
- By:
- Publication type:
- Editorial
25
Contrastive Learning for Fault Detection and Diagnostics in the Context of Changing Operating Conditions and Novel Fault Types.
- Published in:
- Sensors (14248220), 2021, v. 21, n. 10, p. 3550, doi. 10.3390/s21103550
- By:
- Publication type:
- Article
26
Multilocation and Multiscale Learning Framework with Skip Connection for Fault Diagnosis of Bearing under Complex Working Conditions.
- Published in:
- Sensors (14248220), 2021, v. 21, n. 9, p. 3226, doi. 10.3390/s21093226
- By:
- Publication type:
- Article
27
Intelligent Decision-Making of Scheduling for Dynamic Permutation Flowshop via Deep Reinforcement Learning.
- Published in:
- Sensors (14248220), 2021, v. 21, n. 3, p. 1019, doi. 10.3390/s21031019
- By:
- Publication type:
- Article
28
Design of a Variable Sampling Interval EWMA Median Control Chart.
- Published in:
- International Journal of Reliability, Quality & Safety Engineering, 2019, v. 26, n. 5, p. N.PAG, doi. 10.1142/S0218539319500219
- By:
- Publication type:
- Article
29
The Efficiency of the 4-Out-of-5 Runs Rules Scheme for Monitoring the Ratio of Population Means of a Bivariate Normal Distribution.
- Published in:
- International Journal of Reliability, Quality & Safety Engineering, 2016, v. 23, n. 5, p. 1, doi. 10.1142/S0218539316500200
- By:
- Publication type:
- Article
30
One-sided synthetic control charts for monitoring the multivariate coefficient of variation.
- Published in:
- Journal of Statistical Computation & Simulation, 2019, v. 89, n. 10, p. 1841, doi. 10.1080/00949655.2019.1600694
- By:
- Publication type:
- Article
31
Monitoring the ratio of population means of a bivariate normal distribution using CUSUM type control charts.
- Published in:
- Statistical Papers, 2018, v. 59, n. 1, p. 387, doi. 10.1007/s00362-016-0769-4
- By:
- Publication type:
- Article