One-sided 4-out-of-5 Run Rules Charts for the Multivariate Coefficient of Variation in the Finite Horizon Process

Quality improvement has been receiving great attention in industries. In recent years, the finite horizon process is commonly encountered in industries due to flexible manufacturing production. Past research works on finite horizon process monitoring are still limited. Because of this, one-sided 4-out-of-5 run rules charts are proposed to monitor the multivariate coefficient of variation in a finite horizon process. The performance measures of the proposed charts are derived using the Markov-chain approach. The proposed schemes can serve as a framework for practitioners who wish to perform process monitoring easily and efficiently. Numerical comparisons between the proposed and existing charts have been made, in terms of the truncated average run length and the expected truncated average run length criteria. The findings reveal that the proposed charts outperform the existing charts for detecting small and moderate process shifts in the finite horizon process.

Assessment of the Disparities in the Applications to Higher Education in Nigeria: A Coefficient of Variation Approach

In this paper, we used the univariate coefficient of variation to estimate the disparities in the Joint Admissions and Matriculation Board (JAMB) applicants in all the States for both male and female from 2010 to 2018 and the multivariate coefficient of variation to estimate the disparities in the JAMB applicants for the different geopolitical zones for both male and female from 2010 to 2018. For the States, Zamfara State recorded the highest variation for both male and female while Adamawa and Osun States recorded the least variation for male and Edo State, the least for female. For the geopolitical zones, South West had the least variation for male and South-South, the least for the female while the North East had the highest variation for both male and female. The study shows that the Northern States and Zones had a high disparity rate in the study period.