Browsing by Author "Yeganeh, Ali"
Now showing items 1-8 of 8
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An ensemble neural network framework for improving the detection ability of a base control chart in non-parametric profile monitoring
Yeganeh, Ali; Abbasi, Saddam A.; Pourpanah, Farhad; Shadman, Alireza; Johannssen, Arne; Chukhrova, Nataliya... more authors ... less authors ( Elsevier , 2022 , Article)Profile monitoring is a challenging issue in statistical process control (SPC). It aims to use a functional relationship between a response variable and one or more explanatory variable(s) to summarize the quality of a ... -
Employing evolutionary artificial neural network in risk-adjusted monitoring of surgical performance
Yeganeh, Ali; Shadman, Alireza; Shongwe, Sandile Charles; Abbasi, Saddam Akber ( Springer Science and Business Media Deutschland GmbH , 2023 , Article)Various applications of control charts in the field of health-care monitoring and surveillance can be found in the literature. As one of the major categories, monitoring binary outcomes of cardiac surgeries with the aim ... -
Employing machine learning techniques in monitoring autocorrelated profiles
Yeganeh, Ali; Johannssen, Arne; Chukhrova, Nataliya; Abbasi, Saddam Akber; Pourpanah, Farhad ( Springer Science and Business Media Deutschland GmbH , 2023 , Article)In profile monitoring, it is usually assumed that the observations between or within each profile are independent of each other. However, this assumption is often violated in manufacturing practice, and it is of utmost ... -
Enhancing the detection ability of control charts in profile monitoring by adding RBF ensemble model
Yeganeh, Ali; Shadman, Alireza; Abbasi, Saddam Akber ( Springer , 2022 , Article)While numerous contributions and applications have been extended in profile monitoring, little attention has been paid to employing machine learning techniques in development of control charts. In this paper, a novel control ... -
Enhancing the detection ability of control charts in profile monitoring by adding RBF ensemble model
Yeganeh, Ali; Shadman, Alireza; Abbasi, Saddam Akber ( Springer Science and Business Media Deutschland GmbH , 2022 , Article)While numerous contributions and applications have been extended in profile monitoring, little attention has been paid to employing machine learning techniques in development of control charts. In this paper, a novel control ... -
Monitoring non-parametric profiles using adaptive EWMA control chart
Abbasi, Saddam Akber; Yeganeh, Ali; Shongwe, Sandile C. ( Nature Research , 2022 , Article)To monitor the quality of a process in statistical process control (SPC), considering a functional relationship between a dependent variable and one or more independent variables (which is denoted as profile monitoring) ... -
A Novel Simulation-Based Adaptive MEWMA Approach for Monitoring Linear and Logistic Profiles
Yeganeh, Ali; Abbasi, Saddam Akbar; Shongwe, Sandile Charles ( IEEE , 2021 , Article)As a common approach in the development of control charts in Statistical Process Control (SPC), an industrial process is monitored with one or more quality characteristics using their corresponding distributions. Note ... -
Run Rules-Based EWMA Charts for Efficient Monitoring of Profile Parameters
Yeganeh, Ali; Shadman, Ali Reza; Triantafyllou, Ioannis S.; Shongwe, Sandile Charles; Abbasi, Saddam Akber ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)In usual quality control methods, the quality of a process or product is evaluated by monitoring one or more quality characteristics using their corresponding distributions. However, when the quality characteristic is ...