A new nonparametric synthetic EWMA control chart for monitoring process mean

2018 ◽  
Vol 48 (6) ◽  
pp. 1665-1676 ◽  
Author(s):  
Abdul Haq
2018 ◽  
Vol 7 (1) ◽  
pp. 23-32
Author(s):  
Adestya Ayu Maharani ◽  
Mustafid Mustafid ◽  
Sudarno Sudarno

Water is one of the most important elements for human life, water treatment is done for human consumption and must fulfill the health requirements with the levels of certain parameters. Quality of Water Treatment II is the second water purification installation owned by PDAM Tirta Moedal Semarang City with production capacity of 60 l/s. Variables used in the water treatment process are correlated with each other, so used multivariate control chart. The Multivariate Exponentially Weighted Moving Average control chart is used for monitoring process mean, and the Multivariate Exponentially Weighted Moving Variance control chart is used for monitoring process variability. The variables used are colour, turbidity, organic substance, manganese and the total dissolved solid. MEWMA control chart with λ = 0.5, showed that the process mean is controlled statistically. MEWMV control chart showed that variability is controlled statistically in λ = 0.4, ω = 0.2 and L = 3.3213. MEWMA and MEWMV control chart showed that the process is not capable because it obtained the value of process capability index less than 1. Keywords: Water, Multivariate Exponentially Weighted Moving Average, Multivariate Exponentially Weighted Moving Variance, process capability.


2018 ◽  
Vol 34 (4) ◽  
pp. 563-571 ◽  
Author(s):  
Abdul Haq ◽  
Rabia Gulzar ◽  
Michael B. C. Khoo

Author(s):  
Jean‐Claude Malela‐Majika ◽  
Sandile C. Shongwe ◽  
Philippe Castagliola ◽  
Ruffin M. Mutambayi

2017 ◽  
Vol 16 (2) ◽  
pp. 186-194 ◽  
Author(s):  
Asma Arshad ◽  
Muhammad Azam ◽  
Muhammad Aslam ◽  
Chi-Hyuck Jun

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