On Cumulative Conforming Type of Control Charts for High Quality Processes Under Sampling Inspection
-
C. W. Zhang
Abstract
Control charts for high quality processes based on counting cumulative conforming items have attracted a lot of attention recently. However, such charting procedures usually apply when items are inspected one by one. There are situations that products are inspected sample by sample for practical or economic reasons. In such situations, the application of conventional cumulative conforming type of control charts based on the assumption of geometric or negative binomial distribution is challenged. To solve the related problem, in this paper we propose a new cumulative conforming type of control chart, called CCS (cumulative conforming samples) chart. The ANI (average number of items inspected) performance of CCS chart is examined. The advantage of CCS chart is discussed. Furthermore, the issue of correlation within samples is also addressed. The effect of correlation on the performance of CCS chart is investigated.
© Heldermann Verlag
Articles in the same Issue
- 2005 - The Jakob Bernoulli Year 350th Anniversary of Jakob's Birth and 300th Anniversary of Jakob's Death
- Six Sigma the “Breakthrough Management Strategy”?
- Determining the Parameters of a Multinomial Distribution: The Fiducial Approach
- Some Group Inspection Based Multi-Attribute Control Charts to Identify Process Deterioration
- On Cumulative Conforming Type of Control Charts for High Quality Processes Under Sampling Inspection
- Monitoring Process Mean and Process Variance Using Collani's Statistic
- Ratio of Logistic and Bessel Random Variables
- Weibull Extension of a Bivariate Exponential Regression Model
- Weighted Least Squares Estimators for a Change-Point
- A Note on the Appropriateness of Taguchi's Loss Function
- Acceptance Sampling Based on the Inverse Rayleigh Distribution
- An Alternative Simple Proof of a Result Useful in Reliability Shock Models
- Draft International Standard ISO/DIS 2210: Milk and Milk Products
Articles in the same Issue
- 2005 - The Jakob Bernoulli Year 350th Anniversary of Jakob's Birth and 300th Anniversary of Jakob's Death
- Six Sigma the “Breakthrough Management Strategy”?
- Determining the Parameters of a Multinomial Distribution: The Fiducial Approach
- Some Group Inspection Based Multi-Attribute Control Charts to Identify Process Deterioration
- On Cumulative Conforming Type of Control Charts for High Quality Processes Under Sampling Inspection
- Monitoring Process Mean and Process Variance Using Collani's Statistic
- Ratio of Logistic and Bessel Random Variables
- Weibull Extension of a Bivariate Exponential Regression Model
- Weighted Least Squares Estimators for a Change-Point
- A Note on the Appropriateness of Taguchi's Loss Function
- Acceptance Sampling Based on the Inverse Rayleigh Distribution
- An Alternative Simple Proof of a Result Useful in Reliability Shock Models
- Draft International Standard ISO/DIS 2210: Milk and Milk Products
