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Control Charts for Controlling Variability of Non-Normal Processes
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Nandini Das
Published/Copyright:
December 1, 2011
Abstract
Control charts represent a very effective tool used for reducing process variability by early detection of the occurrence of assignable causes of variation. 
-charts are applied to detect changes in process mean whereas S-charts are used to detect the same in process variability. Both charts are generally based on the normality assumption. The S-chart utilizes an unbiased estimator of the population standard deviation . However, it is highly affected by any violation of the normality assumption. In this paper, we propose some alternatives of S-charts based on some robust estimate of scale parameters. We will also illustrate the performance of the proposed control chart.
Received: 2011-03-09
Published Online: 2011-December
Published in Print: 2011-December
de Gruyter 2011
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Articles in the same Issue
- A Nonparametric Control Chart for Location Based on Sub-Samples of Size Two
- Availability of a System with Multiple Failure Modes and Imperfect Repairs
- Sampling Methods and Market Surveillance
- Control Charts for Controlling Variability of Non-Normal Processes
- A Class of Weighted Gamma Distributions and its Properties
- Sequential Test for Truncated Distribution under Measurement Error
- Exact Distribution of Argmax (Argmin)
- A Hybrid Economic Group Acceptance Sampling Plan for Exponential Lifetime Distribution
- Chain Sampling Inspection Plans Based on Bayesian Methodology
- Exponentiated Modified Weibull Distribution
- Optimal Control of a Two-Item Inventory System with Different Types of Item Deterioration
- Testing Exponentiality Against NBUL Alternatives Using Positive and Negative Fractional Moments
