Browsing by Author "Adegoke, Nurudeen A."
Now showing items 1-9 of 9
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A Multivariate Homogeneously Weighted Moving Average Control Chart
Adegoke, Nurudeen A.; Abbasi, Saddam Akber; Smith, Adam N. H.; Anderson, Marti J.; Pawley, Matthew D. M. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)This paper presents a multivariate homogeneously weighted moving average (MHWMA) control chart for monitoring a process mean vector. The MHWMA control chart statistic gives a specific weight to the current observation, and ... -
Auxiliary-information-based efficient variability control charts for Phase I of SPC
Abbasi, Saddam Akber; Adegoke, Nurudeen A. ( John Wiley and Sons Ltd , 2020 , Article)The inclusion of correlated auxiliary variables into the monitoring scheme of quality characteristic of interest has gained notable attention in recent statistical process control (SPC) literature. Several authors have ... -
Directionally sensitive homogeneously weighted moving average control charts
Adegoke, Nurudeen A.; Ganiyu, Khadijat Oladayo; Abbasi, Saddam Akber ( Wiley , 2021 , Article)One-sided control charts for monitoring changes in the mean level are proposed in this paper. The proposed charts are given in the form of a homogeneously weighted moving average technique that provides efficient monitoring ... -
Efficient linear profile schemes for monitoring bivariate correlated processes with applications in the pharmaceutical industry
Dawod, Abdaljbbar B.A.; Adegoke, Nurudeen A.; Abbasi, Saddam Akbar ( Elsevier , 2020 , Article)The complexity of chemical processes warrants that collection of information about the processes will continue as they proceed through the various stages of industrialization. Process monitoring has emerged as an essential ... -
Exponentially weighted moving average control charts for monitoring coefficient of variation under ranked set-sampling schemes
Alabi, Oluwapelumi; Adegoke, Nurudeen A.; Adebola, Femi Barnabas; Oseni, Bamidele Mustapha; Abbasi, Saddam Akber ( Taylor and Francis , 2021 , Article)Several coefficients of variation (CV) control charts under simple random schemes (SRS) have been proposed to monitor process relative variability. However, little attention has been given to investigating the performance ... -
Monitoring multivariate coefficient of variation for high-dimensional processes
Adegoke, Nurudeen A.; Dawod, Abdaljbbar; Adeoti, Olatunde Adebayo; Sanusi, Ridwan A.; Abbasi, Saddam Akber ( John Wiley and Sons Ltd , 2022 , Article)Multivariate coefficient of variation (MCV) charts are effective tools for monitoring process relative variability. They are developed on the assumption that the process subgroup size available for monitoring the MCV ... -
Multivariate control charts for monitoring process mean vector of individual observations under regularized covariance estimation
Omolofe, Olusola T.; Adegoke, Nurudeen A.; Adeoti, Olatunde A.; Fasoranbaku, Olusoga A.; Abbasi, Saddam Akber (2021 , Article)Multivariate control charts are generally used in industries for monitoring and diagnosing processes characterized by several process variables. The applications of charts assume that the in-control process parameters are ... -
Nonparametric multivariate covariance chart for monitoring individual observations
Adegoke, Nurudeen A.; Ajadi, Jimoh Olawale; Mukherjee, Amitava; Abbasi, Saddam Akber ( Elsevier , 2022 , Article)Parametric and nonparametric multivariate control charts that are proven very useful in monitoring the covariance matrix of multivariate normally or “nearly” normally distributed continuous datasets have been proposed in ... -
One-Sided and Two One-Sided Multivariate Homogeneously Weighted Moving Charts for Monitoring Process Mean
Adegoke, Nurudeen A.; Riaz, Muhammad; Ganiyu, Khadijat Oladayo; Abbasi, Saddam Akber ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Multivariate memory-type control charts that use information from both the current and previous process observations have been proposed. They are designed to detect shifts in both upper and downward directions with equal ...