A METHODOLOGY FOR RANKING OF ALARMS IN CONTROL CHARTS

Authors

  • Hussain Bachik School of Mechanical Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang Malaysia
  • Shahrul Kamaruddin School of Mechanical Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang Malaysia
  • Zahid A. Khan Faculty of Engineering & Technology Department of Mechanical Engineering lamia Millia Islamia, Central University Jamia Nagar , New Delhi 110025 India.
  • Arif Suhail Department of Mechanical Engineering AMU Aligarh, Aligarh (U.P.) India

Keywords:

Control chart, statistical process control (SPC), graded SPC, and decision making using zones

Abstract

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

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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.

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Published

2018-04-24

How to Cite

Bachik, H., Kamaruddin, S., A. Khan, Z., & Suhail, A. (2018). A METHODOLOGY FOR RANKING OF ALARMS IN CONTROL CHARTS. Jurnal Mekanikal, 20(2). Retrieved from https://jurnalmekanikal.utm.my/index.php/jurnalmekanikal/article/view/192

Issue

Section

Mechanical

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