2012•Journal of Statistics and Management SystemsRequires access

Construction of control charts based on six sigma Initiatives for Fraction Defectives with varying sample size

Ramaswamy Radhakrishnan, P. Balamurugan

Open publisher page 3 citations

Abstract

A control chart is a statistical device used for the study and control of repetitive process. W.A. Shewhart (1931) of Bell Telephone Laboratories suggested control charts based on the 3 sigma limits. Now the companies in developed and developing countries started applying Six Sigma initiatives in their manufacturing process, which results in lesser number of defects. The companies practicing Six Sigma initiatives are expected to produce 3.4 or less number of defects per million opportunities, a concept suggested by Motorola (1980). If the companies practicing Six Sigma initiatives use the control limits suggested by Shewhart, then no point fall outside the control limits because of the improvement in the quality of the process. In this paper an attempt is made to construct a control chart based on six sigma initiatives for fraction defectives with varying sample size specially designed for the companies applying Six Sigma initiatives in their organization. Suitable tables are also constructed and presented for the engineers to take quick decisions.

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What this paper is about

A control chart is a statistical device used for the study and control of repetitive process. W.A. Shewhart (1931) of Bell Telephone Laboratories suggested control charts based on the 3 sigma limits. Now the companies in developed and developing countries started applying Six Sigma initiatives in their manufacturing process, which results in lesser number of defects. The companies practicing Six Sigma initiatives are expected to produce 3.4 or less number of defects per million opportunities, a concept suggested by Motorola (1980). If the companies practicing Six Sigma initiatives use the control limits suggested by Shewhart, then no point fall outside the control limits because of the improvement in the quality of the process. In this paper an attempt is made to construct a control chart based on six sigma initiatives for fraction defectives with varying sample size specially designed for the companies applying Six Sigma initiatives in their organization. Suitable tables are also constructed and presented for the engineers to take quick decisions.

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Available abstract

A control chart is a statistical device used for the study and control of repetitive process. W.A. Shewhart (1931) of Bell Telephone Laboratories suggested control charts based on the 3 sigma limits. Now the companies in developed and developing countries started applying Six Sigma initiatives in their manufacturing process, which results in lesser number of defects. The companies practicing Six Sigma initiatives are expected to produce 3.4 or less number of defects per million opportunities, a concept suggested by Motorola (1980). If the companies practicing Six Sigma initiatives use the control limits suggested by Shewhart, then no point fall outside the control limits because of the improvement in the quality of the process. In this paper an attempt is made to construct a control chart based on six sigma initiatives for fraction defectives with varying sample size specially designed for the companies applying Six Sigma initiatives in their organization. Suitable tables are also constructed and presented for the engineers to take quick decisions.

Key concepts: Six Sigma, Control chart, Process capability, Statistical process control, Control limits, Shewhart individuals control chart, \bar x and R chart, Control (management)

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