New memory-type control charts for monitoring process mean and dispersion
被引:2
|
作者:
Ajadi, J. O.
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机构:
King Fahd Univ Petr & Minerals, Dept Math & Stat, Dhahran 31261, Saudi Arabia
City Univ Hong Kong, Dept Syst Engn & Engn Management, Kowloon, Hong Kong, Peoples R ChinaKing Fahd Univ Petr & Minerals, Dept Math & Stat, Dhahran 31261, Saudi Arabia
Ajadi, J. O.
[1
,2
]
Riaz, M.
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机构:
King Fahd Univ Petr & Minerals, Dept Math & Stat, Dhahran 31261, Saudi ArabiaKing Fahd Univ Petr & Minerals, Dept Math & Stat, Dhahran 31261, Saudi Arabia
Riaz, M.
[1
]
机构:
[1] King Fahd Univ Petr & Minerals, Dept Math & Stat, Dhahran 31261, Saudi Arabia
[2] City Univ Hong Kong, Dept Syst Engn & Engn Management, Kowloon, Hong Kong, Peoples R China
Average run length;
Max-chart;
Normality;
Control chart;
Location and dispersion parameters;
WEIGHTED MOVING AVERAGE;
D O I:
10.24200/sci.2017.4483
中图分类号:
T [工业技术];
学科分类号:
08 ;
摘要:
Control chart is widely used to monitor the quality of products of industrial or business processes. Max-CUSUM and Max-EWMA are based on memory-type control charts that monitor the process mean and standard deviation simultaneously. This article introduces four new control charts that monitor the process mean and dispersion simultaneously. The proposed control charting schemes are compared with the existing counterparts including Max-EWMA, Max-CUSUM, SS-EWMA, and SS-CUSUM. A case study is presented for practical considerations using a real dataset. (c) 2017 Sharif University of Technology. All rights reserved.
机构:
East China Normal Univ, Sch Stat, KLATASDS MOE, Shanghai, Peoples R China
Govt Ambala Muslim Grad Coll Sargodha, Dept Stat, Sargodha, PakistanEast China Normal Univ, Sch Stat, KLATASDS MOE, Shanghai, Peoples R China
Abbas, Zameer
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h-index:
机构:
Ali, Saber
Nazir, Hafiz Zafar
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机构:
Univ Sargodha, Dept Stat, Sargodha, PakistanEast China Normal Univ, Sch Stat, KLATASDS MOE, Shanghai, Peoples R China
Nazir, Hafiz Zafar
Riaz, Muhammad
论文数: 0引用数: 0
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机构:
King Fahad Univ Petr & Minerals, Dept Math, Dhahran, Saudi ArabiaEast China Normal Univ, Sch Stat, KLATASDS MOE, Shanghai, Peoples R China
Riaz, Muhammad
Li, Yuan
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机构:
Guangzhou Univ, Sch Econ & Stat, Guangzhou, Peoples R ChinaEast China Normal Univ, Sch Stat, KLATASDS MOE, Shanghai, Peoples R China
Li, Yuan
Zhang, Xingfa
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机构:
Guangzhou Univ, Sch Econ & Stat, Guangzhou, Peoples R ChinaEast China Normal Univ, Sch Stat, KLATASDS MOE, Shanghai, Peoples R China