A New Maximum EWMA Control Chart for Simultaneously Monitoring Process Mean and Dispersion Using Auxiliary Information

2017 ◽  
Vol 33 (7) ◽  
pp. 1577-1587 ◽  
Author(s):  
Abdul Haq
Keyword(s):  
Control Chart ◽  
Auxiliary Information ◽  
Process Mean ◽  
Ewma Control Chart ◽  
Monitoring Process

Enhancing the performance of the EWMA control chart for monitoring the process mean using auxiliary information

2018 ◽  
Vol 35 (4) ◽  
pp. 920-933 ◽  
Author(s):  
Nurudeen A. Adegoke ◽  
Saddam Akber Abbasi ◽  
Abdaljbbar B.A. Dawod ◽  
Matthew D.M. Pawley
Keyword(s):  
Control Chart ◽  
Auxiliary Information ◽  
Process Mean ◽  
Ewma Control Chart

scholarly journals PENERAPAN DIAGRAM KONTROL MEWMA DAN MEWMV PADA PENGENDALIAN KARAKTERISTIK KUALITAS AIR (Studi Kasus: Kualitas Pengolahan Air II PDAM Tirta Moedal Kota Semarang)

2018 ◽  
Vol 7 (1) ◽  
pp. 23-32
Author(s):  
Adestya Ayu Maharani ◽  
Mustafid Mustafid ◽  
Sudarno Sudarno
Keyword(s):  
Water Treatment ◽  
Control Chart ◽  
Moving Average ◽  
Process Capability ◽  
Human Consumption ◽  
Exponentially Weighted Moving Average ◽  
Process Mean ◽  
Monitoring Process ◽  
Weighted Moving Average ◽  
Exponentially Weighted

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.

An efficient adaptive EWMA control chart for monitoring the process mean

2018 ◽  
Vol 34 (4) ◽  
pp. 563-571 ◽  
Author(s):  
Abdul Haq ◽  
Rabia Gulzar ◽  
Michael B. C. Khoo
Keyword(s):  
Control Chart ◽  
Process Mean ◽  
Ewma Control Chart
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