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Design of R control Chart Assuming a Gamma Distribution
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I. M. González
Published/Copyright:
February 18, 2010
Abstract
This article presents the method how to design a R control chart by variables, assuming that the quality characteristic that is being controlled follows a Γ-distribution. The use of an R-control chart shall be complementary to the application of a control chart for the process average. The problem is to find a coefficient that allows the estimation of the process standard deviation by means of the sample range and determines the values of the control chart limits. The sample size and the sampling interval, on the other hand, may be taken from the design of the complementary 
chart. (González, Viles, Economic Quality Control 15: 109-118, 2000)
Published Online: 2010-02-18
Published in Print: 2001-October
© Heldermann Verlag
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- On the Design of Single Sample Acceptance Sampling Plans
- Design of R control Chart Assuming a Gamma Distribution
- Squared Error Loss of Process Capability Indices
- Statistical Process Control Based on Attribute Data Obtained by a Narrowed Tolerance
- OECD PISA - An Example of Stochastic Illiteracy?
- Optimal Productivity and Investments in Quality: An Operations Parametric Model
Articles in the same Issue
- On the Design of Single Sample Acceptance Sampling Plans
- Design of R control Chart Assuming a Gamma Distribution
- Squared Error Loss of Process Capability Indices
- Statistical Process Control Based on Attribute Data Obtained by a Narrowed Tolerance
- OECD PISA - An Example of Stochastic Illiteracy?
- Optimal Productivity and Investments in Quality: An Operations Parametric Model
