A METHODOLOGY FOR RANKING OF ALARMS IN CONTROL CHARTS
Keywords:
Control chart, statistical process control (SPC), graded SPC, and decision making using zonesAbstract
Control charts are main tools used to detect whether variation in the quality characteristic
is because of chance or assignable cause. Traditional control chart is separated into
definite zones and engineers use them as a criterion to either continue or stop the process
depending upon the position of the newly observed points in the zones. Since the control
charts are defined using zones, points that are in the same zone are viewed as having the
same risk of being out of control. This paper discusses the limitations of the traditional
zoning of control charts and problems faced by engineers in taking corrective actions
based on the results of the charts. A new methodology is proposed in this paper for
estimating the risk of the points lying on a control chart. A severity number is then
assigned to the points to show the degree of severity of each point. The propose d severity
number will be useful for engineers in generating different action plans. Engineers will
actually place different approach or rigorousness in investigat ing for any assignable
causes based on the different ranking of the severity number. Later, a simulation is used to
show how the proposed method is used in ranking the out of control points.
References
I. Shewhart, W.A., ( 193I), "Economic Control oj Quality of Manufactured Product ". New York, D.Van Nostrand Company. Inc
Montgomery, D.C., (200 I), "Introduction to Statis tical Quality Control" 4th Edition, New York, John Wiley & Sons. Inc.
Margavio, T.M, Conerly, M.D, Woodall, W. H and Drake L.G, (1995), "Alarm Rates for Quality Control Charts ". Elsevier, Statistic and Probability Letters, 24, pp. 219-224 .
Bai, D.S and Lee, K.T, (1998), "An Economic Design oj Variable Sampling Intervals Xbar control charts ". Internat ional Journal Production Economics 54, pp. 57-64.
Reynolds, M.R., Jr, and Lu, C.W, (1997) , "Control Chart Jar Monitoring Processes With Auto correlated Data, Non Linear ", Theory and Method & Applications Vol 30, pp. 4059-4067, Proc 2nd World Congress of Non- Linear Analysis, Elsevier Science Ltd.
Chan, L.Y, Lai, C.D, Xie . N and Goh, T.N, (2003), "A Two Stage Decision Procedure for Monitoring Processes with Low
Fraction Non Conforming" . European Journal of Operational Research, 150, pp. 420- 436.
Downloads
Published
How to Cite
Issue
Section
License
Copyright of articles that appear in Jurnal Mekanikal belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions or any other reproductions of similar nature.