Article
Licensed
Unlicensed
Requires Authentication
Charts for Detecting Small Shifts
-
R. Sivasamy
Published/Copyright:
March 10, 2010
Abstract
Some recent studies have proved that 
charts with variable sample size (VSS) detect moderate or larger shifts in normal and stable processes more quickly than the Standard Shewhart (SS) chart. But the statistical efficiency of charts, the speed at which they detect smaller shifts of the process mean are poor. In this paper a special type of Markov dependent sample size (MDSS) chart is discussed that can detect even small shifts faster than other matched charts. Additionally, conditions are outlined which make the MDSS chart signal similar as the SS or VSS chart during the in-control period. Numerical illustrations indicate that the MDSS chart is substantially more efficient than SS and VSS charts.
Key Words:: Markov Dependent Sampling Scheme; Markov Dependent Sample Size; Variable Sample Size; Stationary Probabilities; Average run length
Published Online: 2010-03-10
Published in Print: 2003-April
© Heldermann Verlag
You are currently not able to access this content.
You are currently not able to access this content.
Articles in the same Issue
- On the Distribution of the Estimated Process Capability Index Cpmk
- Nonparametric Capability Indices
- Statistical Inference from Boyles' Capability Index
- Time Dependent Availability of K-out-of-N:G Systems with Exponential Failures and General Repairs
- A Note on Monotonic Probability Distributions
- A Note on the Murthy-Sarma Estimators of the Mean of the Normal Distribution for Small Samples
- Charts for Detecting Small Shifts
- False Alarm Probability Function of Cusum Charts
- The Validation of the Human Contribution to Quality: A Case Study at Lockheed Martin Aeronautics - Fort Worth
Keywords for this article
Markov Dependent Sampling Scheme;
Markov Dependent Sample Size;
Variable Sample Size;
Stationary Probabilities;
Average run length
Articles in the same Issue
- On the Distribution of the Estimated Process Capability Index Cpmk
- Nonparametric Capability Indices
- Statistical Inference from Boyles' Capability Index
- Time Dependent Availability of K-out-of-N:G Systems with Exponential Failures and General Repairs
- A Note on Monotonic Probability Distributions
- A Note on the Murthy-Sarma Estimators of the Mean of the Normal Distribution for Small Samples
- Charts for Detecting Small Shifts
- False Alarm Probability Function of Cusum Charts
- The Validation of the Human Contribution to Quality: A Case Study at Lockheed Martin Aeronautics - Fort Worth
