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A Practical Procedure for Developing p-Charts
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Bret J. Wagner
Published/Copyright:
March 15, 2010
Abstract
The question of how to determine an appropriate sample size n for an attribute control chart has been the subject of a number of research papers. Unfortunately, this stream of research has neither produced tools that are easy to understand, nor it does provide a manager with a good understanding of the tradeoffs involved by the sample size decision. In this paper, we propose a practical method of determining an appropriate sample size that allows the manager to evaluate the tradeoffs between the ability to detect an out-of-control process, the probability of generating a “false alarm” and the sample size (which will determine the cost of implementing the sampling plan).
Published Online: 2010-03-15
Published in Print: 2006-April
© Heldermann Verlag
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Articles in the same Issue
- Transient Analysis of Multistage Degraded Systems with Partial Repairs of General Distribution Modeled by Erlang-k Distribution
- A Practical Procedure for Developing p-Charts
- Posterior Distribution and Loss Functions for Parameter Estimation in Weibull Processes
- Combined CUSUM–Shewhart Schemes for Binomial Data
- A Goodness of Fit Approach to NBURFR and NBARFR Classes
- Control Charts for the Log-Logistic Distribution
- Stability Index of Stochastic Processes: The Statistical Process Control Approach
- Multivariate Max-Chart
- An Optimization Methodology for Condition Based Minimal and Major Preventive Maintenance
- Multivariate Diagnostic Tests: A Review of Different Methods
- A Note on the Concept of Independence
