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Six Sigma Based Exponentially Weighted Moving Average Control Chart


Affiliations
1 PSG College of Arts and Science, Coimbatore-641 014, TN, India
2 The Kavery Engineering College, Salem-636 453, TN, India
 

A control chart is a statistical device used for the study and control of repetitive process. Shewhart (1931) of bell telephone laboratories suggested control charts based on the 3 sigma limits. Now the companies started applying 6 sigma initiatives in their manufacturing process, which results in lesser number of defects, are focused in identifying the causes due to assignable causes of variation. The companies practicing 6 sigma initiatives is expected to produce 3.4 or less number of defects per million opportunities, a concept suggested by Motorola (1980). If the companies practicing 6 sigma initiatives use the control limits suggested by Shewhart, then no point fall outside the control limits because of reduced variation. In this paper an attempt is made to construct a 6 sigma based exponentially weighted moving average control chart specially designed for the companies adopting 6 sigma initiatives in their organization. Suitable table is also constructed and presented for the engineers to take quick decisions.

Keywords

Six Sigma Quality Level, Control Chart, Process Control, Six Sigma
User

  • Montgomery DC (2001) Introduction to statistical quality control. 3rd edn., John Wiley & Sons, Inc., NY.
  • Radhakrishnan R (2009) Construction of six sigma based sampling plans. D. Sc. Thesis submitted to Bharathiar Univ., Coimbatore, India.
  • Radhakrishnan R and Balamurugan P (2009a) Trends in information technology and business intelligence. Excel India Publ., New Delhi.
  • Radhakrishnan R and Balamurugan P (2009b) International marketing in Asia pacific: Issues and challenges. McMillan Publ., New Delhi.
  • Radhakrishnan R and Balamurugan P (2009c) Innovative practices in management. Himalaya Publ.,, New Delhi.
  • Radhakrishnan R and Balamurugan P (2010) Industrial engineering and operations management. Bangladesh, Society of mechanical engineers, Dhaka, Bangladesh.
  • Radhakrishnan R and Sivakumaran PK (2008a) Construction and selection of 6 sigma sampling plan indexed through 6 sigma quality level. Int. J. Statistics Sys. 3(2), 153-159.
  • Radhakrishnan R and Sivakumaran PK (2008b) Construction of 6 sigma repetitive group sampling plan, Int. J. Math. Comp. 1(8), 75-83.
  • Radhakrishnan R and Sivakumaran PK (2008c) Construction and selection of conditional double sampling plan indexed through 6 sigma quality levels. Srilankan J. Appl. Statistics. 9, 74-83.
  • Radhakrishnan R and Sivakumaran PK (2009d) Construction of double sampling plans through 6 sigma quality levels. Proc. of the IEEE 2nd Int. Joint Conf. Comp. Sci. Optimization (IEEECSO2009), Sanya, Hainan, China, 1027-1030.
  • Roberts SW (1959) Control chart tests based on geometric moving averages. Technometrics. Vol. 1.
  • Shewhart WA (1931) Economic control of quality of manufactured product. Van Nostrand, NY.

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  • Six Sigma Based Exponentially Weighted Moving Average Control Chart

Abstract Views: 424  |  PDF Views: 103

Authors

R. Radhakrishnan
PSG College of Arts and Science, Coimbatore-641 014, TN, India
P. Balamurugan
The Kavery Engineering College, Salem-636 453, TN, India

Abstract


A control chart is a statistical device used for the study and control of repetitive process. Shewhart (1931) of bell telephone laboratories suggested control charts based on the 3 sigma limits. Now the companies started applying 6 sigma initiatives in their manufacturing process, which results in lesser number of defects, are focused in identifying the causes due to assignable causes of variation. The companies practicing 6 sigma initiatives is expected to produce 3.4 or less number of defects per million opportunities, a concept suggested by Motorola (1980). If the companies practicing 6 sigma initiatives use the control limits suggested by Shewhart, then no point fall outside the control limits because of reduced variation. In this paper an attempt is made to construct a 6 sigma based exponentially weighted moving average control chart specially designed for the companies adopting 6 sigma initiatives in their organization. Suitable table is also constructed and presented for the engineers to take quick decisions.

Keywords


Six Sigma Quality Level, Control Chart, Process Control, Six Sigma

References





DOI: https://doi.org/10.17485/ijst%2F2010%2Fv3i10%2F29831