Improved quality control charts for monitoring the process mean, using double-ranked set sampling methods

2012 ◽  
Vol 39 (4) ◽  
pp. 745-763 ◽  
Author(s):  
Amer Ibrahim Al-Omari ◽  
Abdul Haq
Keyword(s):  
Quality Control ◽  
Control Charts ◽  
Sampling Methods ◽  
Ranked Set Sampling ◽  
Process Mean ◽  
Quality Control Charts

The Inertial Properties of Quality Control Charts

Technometrics ◽  
2005 ◽  
Vol 47 (4) ◽  
pp. 425-436 ◽  
Author(s):  
William H Woodall ◽  
Mahmoud A Mahmoud
Keyword(s):  
Quality Control ◽  
Control Charts ◽  
Quality Control Charts

scholarly journals Indian Food Specialties Limited

2002 ◽  
Vol 27 (1) ◽  
pp. 55-68
Author(s):  
Satish Y Deodhar ◽  
Devanath Tirupati
Keyword(s):  
Quality Control ◽  
Control Charts ◽  
Hazard Analysis ◽  
Process Capability ◽  
Process Capability Indices ◽  
Market Conditions ◽  
Quality Control Charts ◽  
Critical Control Points ◽  
Capability Indices ◽  
Indian Food

Indian Food Specialties Limited (IFS) introduced tools of food quality management in May 2000 in response to changing market conditions and poor profitability. Spoilage in the production process was very high and the company had incurred losses for three successive years starting from 1996-97. The company addressed quality concerns by introducing management tools such as quality control charts and process capability indices, and was considering implementation of a food safety system called Hazard Analysis and Critical Control Points (HACCP). The case describes the changing market conditions and the company's response to improving quality, and provides a learning exercise on quality control charts, process capability indices, and HACCP.

scholarly journals Multivariate Statistical Quality Control Based on Ranked Set Sampling

2017 ◽  
Vol 14 (1) ◽  
pp. 1
Author(s):  
Hakan Eygü ◽  
M. Suphi Özçomak
Keyword(s):  
Control Charts ◽  
Sampling Methods ◽  
Average Run Length ◽  
Ranked Set Sampling ◽  
Multivariate Statistical ◽  
Run Length ◽  
Hotelling's T2 ◽  
Median Ranked Set Sampling ◽  
Hotelling’S T2 ◽  
T2 Control Chart

The sample of the study was formed using simple random sampling, ranked set sampling, extreme ranked set sampling and median ranked set sampling. At the end of this process, the researcher created Hotelling’s T2 control charts, a multivariate statistical process control method. The performances of SRS, RSS, ERSS and MRSS sampling methods were compared to one another using these control charts. A simulation was performed to see the average run-length values for Hotelling’s T2 control charts, and these findings were also used for the comparison of the sampling performances.At the end of the study, the researcher formed a sample using median ranked set sampling and created the Hotelling’s T2 control chart. As a result of this operation, the researcher found that there was an out-of-control signal in the process, while there was no such signal in other sampling methods. When the average run-length values obtained from Hotelling’s T2 control charts were compared, it was seen that a shift in the process was detected by the ranked set sampling earlier, when compared to other sampling methods. This paper it can be said that the methods used are unique to the literature because they are applied to multivariate data.

Monitoring intensive care unit performance using statistical quality control charts

1993 ◽  
Vol 10 (3) ◽  
pp. 155-161 ◽  
Author(s):  
William H. Chamberlin ◽  
Kevin A. Lane ◽  
James N. Kennedy ◽  
Scott D. Bradley ◽  
Charles L. Rice
Keyword(s):  
Intensive Care Unit ◽  
Quality Control ◽  
Intensive Care ◽  
Control Charts ◽  
Statistical Quality Control ◽  
Statistical Quality ◽  
Quality Control Charts ◽  
Unit Performance
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