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1. Condition-based maintenance policy for a multi-component system considering stochastic dependence and quality loss NSTL国家科技图书文献中心

Zhang, Anming | Qi, Faqun ... - 《Quality and reliability engineering international》 - 2025,41(2) - 625～640 - 共16页

摘要：The reliability evaluation of multi-component | systems has attracted increasing concern in academic and | industrial circles. However, the research maintenance | optimization for multi-component systems is still | underexplored due to the curse of dimensionality. This paper

关键词： condition-based maintenance policy | Monte-Carlo simulation | quality loss | semi-regeneration process | stochastic dependence | PREVENTIVE MAINTENANCE | ORIENTED MAINTENANCE | OPTIMIZATION | SUBJECT | INSPECTION

2. Monitoring defects on products' surface by incorporating scan statistics into process monitoring procedures NSTL国家科技图书文献中心

Sotirios Bersimis | Athanasios Sachlas ... - 《Quality and reliability engineering international》 - 2025,41(1) - 293～317 - 共25页

摘要：Abstract Monitoring the number of defects in | constantsize units is a welldefined problem in the industrial | domain and usually, the c$c$ control chart is used for | monitoring the total number of defects in a product or a | sample of products. The cchart tracks the total number

关键词： control charts | monitoring number of defects | scan statistics | spatial Poisson process | statistical process control | statistical process monitoring

3. Dynamic Process Dispersion Monitoring Through Bayesian‐Driven Smoothing Adjustments NSTL国家科技图书文献中心

Imad Khan | Fahad R. Albogamy - 《Quality and reliability engineering international》 - 2025,41(3) - 1041～1058 - 共18页

摘要：ABSTRACT This study introduces a Bayesian | adaptive exponentially weighted moving average (AEWMA | ) control chart designed to monitor process dispersion in | case of normal distribution by integrating various | loss functions. It exhibits robust performance in

关键词： AEWMA | Bayesian approach | control chart | Phase II | process dispersion | statistical process control

4. Hotelling T 2 control chart based on minimum vector variance for monitoring high-dimensional correlated multivariate process NSTL国家科技图书文献中心

Oyegoke, Odunayo Adi... | Adekeye, Kayode Samu...... - 《Quality and reliability engineering international》 - 2025,41(2) - 765～783 - 共19页

摘要：Multivariate control charts are practical | tools that simultaneously monitor several correlated | quality characteristics in a process. Monitoring high | -dimensional data structures is challenging because, in most | cases, the process sample size for monitoring

关键词： correlated multivariate process | covariance matrix | High-dimensional data | Hotelling T-2 control chart | minimum vector variance | regularized methods | COVARIANCE MATRICES | ESTIMATOR | SELECTION

5. Optimizing Lognormal Process Monitoring With Bayesian Approach for Industrial Engineering Applications NSTL国家科技图书文献中心

Imad Khan | Tahir Abbas ... - 《Quality and reliability engineering international》 - 2025,41(4) - 1483～1494 - 共12页

摘要：ABSTRACT In this article, we introduce the | Bayesian adaptive MaxEWMA control chart designed to | monitor both the mean and variance of processes | following a lognormal distribution. By employing various | loss functions, our Bayesian control chart

关键词： ARL | Bayesian approach | control charts | log normal | MaxEWMA | SDRL

6. Accelerated Degradation Data Analysis Based on Gamma Process With Random Effects NSTL国家科技图书文献中心

Huiling Zheng | Jun Yang ... - 《Quality and reliability engineering international》 - 2025,41(4) - 1250～1267 - 共18页

摘要：ABSTRACT The Gamma constantstress accelerated | degradation model is a natural model for monotonous | degradation processes. However, unit heterogeneity often | exists in practice, necessitating a more realistic | model. This study develops a Gamma process with random

关键词： accelerated degradation test | EM algorithm | Gamma process with random effects | generalized confidence interval | reliability analysis

7. Adaptive EWMA Control Chart by Adjusting the Risk Factors through Artificial Neural Network NSTL国家科技图书文献中心

Abdullah Ali Ahmadin... | Tahir Abbas ... - 《Quality and reliability engineering international》 - 2025,41(3) - 992～1001 - 共10页

摘要：ABSTRACT This article focuses on | operationalizing a quality improvement framework to improve the | quality and safety of patients in hospitals. Assessing | the effectiveness of health care services | , especially utilizing various patient health statuses, poses

关键词： AEWMA | artificial neural networks | control chart | machine learning | run length | statistical process control

8. Selective maintenance of the complex system considering maintenance time uncertainty for system components with multiple repairpersons NSTL国家科技图书文献中心

Haipeng Wang | Kaiwen Li ... - 《Quality and reliability engineering international》 - 2025,41(1) - 113～134 - 共22页

摘要：Abstract This research presents an innovative | selected maintenance model for complex systems that | considers the uncertainty in maintenance time (MT) for | system components with multiple repairpersons. The | computational model of uncertain MT for system components is

关键词： imperfect maintenance | maintenance time uncertainty | multiple repairpersons | particle swarm optimization (PSO) | selective maintenance

9. Enhanced health states recognition for electric rudder system using optimized twin support vector machine NSTL国家科技图书文献中心

Chenxia Guo | Hao Qin ... - 《Quality and reliability engineering international》 - 2025,41(1) - 274～292 - 共19页

摘要：Abstract Safety and reliability represent | indispensable prerequisites for electric rudder systems (ERS | ), while health states recognition serves as a potent | technology that fortifies and optimizes these essential | aspects. To address this problem, we present a

关键词： Bat algorithm | electric rudder system | fruit fly optimization algorithm | Health states recognition | twin support vector machine

10. Software Reliability Growth Model Considering Imperfect Debugging and Fault Removal Efficiency NSTL国家科技图书文献中心

Umashankar Samal - 《Quality and reliability engineering international》 - 2025,41(4) - 1268～1278 - 共11页

摘要：ABSTRACT Software reliability is a critical | metric for determining the readiness and quality of | software products before release. In this study, a | software reliability growth model (SRGM) is proposed that | integrates imperfect debugging and fault removal efficiency

摘要：The reliability evaluation of multi-component | systems has attracted increasing concern in academic and | industrial circles. However, the research maintenance | optimization for multi-component systems is still | underexplored due to the curse of dimensionality. This paper

关键词： condition-based maintenance policy | Monte-Carlo simulation | quality loss | semi-regeneration process | stochastic dependence | PREVENTIVE MAINTENANCE | ORIENTED MAINTENANCE | OPTIMIZATION | SUBJECT | INSPECTION

摘要：Abstract Monitoring the number of defects in | constantsize units is a welldefined problem in the industrial | domain and usually, the c$c$ control chart is used for | monitoring the total number of defects in a product or a | sample of products. The cchart tracks the total number

关键词： control charts | monitoring number of defects | scan statistics | spatial Poisson process | statistical process control | statistical process monitoring

摘要：ABSTRACT This study introduces a Bayesian | adaptive exponentially weighted moving average (AEWMA | ) control chart designed to monitor process dispersion in | case of normal distribution by integrating various | loss functions. It exhibits robust performance in

关键词： AEWMA | Bayesian approach | control chart | Phase II | process dispersion | statistical process control

摘要：Multivariate control charts are practical | tools that simultaneously monitor several correlated | quality characteristics in a process. Monitoring high | -dimensional data structures is challenging because, in most | cases, the process sample size for monitoring

关键词： correlated multivariate process | covariance matrix | High-dimensional data | Hotelling T-2 control chart | minimum vector variance | regularized methods | COVARIANCE MATRICES | ESTIMATOR | SELECTION

摘要：ABSTRACT In this article, we introduce the | Bayesian adaptive MaxEWMA control chart designed to | monitor both the mean and variance of processes | following a lognormal distribution. By employing various | loss functions, our Bayesian control chart

关键词： ARL | Bayesian approach | control charts | log normal | MaxEWMA | SDRL

摘要：ABSTRACT The Gamma constantstress accelerated | degradation model is a natural model for monotonous | degradation processes. However, unit heterogeneity often | exists in practice, necessitating a more realistic | model. This study develops a Gamma process with random

关键词： accelerated degradation test | EM algorithm | Gamma process with random effects | generalized confidence interval | reliability analysis

摘要：ABSTRACT This article focuses on | operationalizing a quality improvement framework to improve the | quality and safety of patients in hospitals. Assessing | the effectiveness of health care services | , especially utilizing various patient health statuses, poses

关键词： AEWMA | artificial neural networks | control chart | machine learning | run length | statistical process control

摘要：Abstract This research presents an innovative | selected maintenance model for complex systems that | considers the uncertainty in maintenance time (MT) for | system components with multiple repairpersons. The | computational model of uncertain MT for system components is

关键词： imperfect maintenance | maintenance time uncertainty | multiple repairpersons | particle swarm optimization (PSO) | selective maintenance

摘要：Abstract Safety and reliability represent | indispensable prerequisites for electric rudder systems (ERS | ), while health states recognition serves as a potent | technology that fortifies and optimizes these essential | aspects. To address this problem, we present a

关键词： Bat algorithm | electric rudder system | fruit fly optimization algorithm | Health states recognition | twin support vector machine

摘要：ABSTRACT Software reliability is a critical | metric for determining the readiness and quality of | software products before release. In this study, a | software reliability growth model (SRGM) is proposed that | integrates imperfect debugging and fault removal efficiency

关键词： fault removal efficiency | imperfect debugging | nonhomogeneous Poisson process | optimal release | software reliability

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