Browsing by Author "Shongwe, Sandile Charles"
Now showing items 1-4 of 4
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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 ... -
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 ... -
The use of fast initial response features on the homogeneously weighted moving average chart with estimated parameters under the effect of measurement errors
Thanwane, Maonatlala; Abbasi, Saddam Akber; Malela-Majika, Jean-Claude; Aslam, Muhammad; Shongwe, Sandile Charles ( John Wiley and Sons Ltd , 2021 , Article)Fast initial response (FIR) features are generally used to improve the sensitivity of memory-type control charts by shrinking time-varying control limits in the earlier stage of the monitoring regime. This paper incorporates ...