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New Results in Economic Statistical Quality Control
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J. Rodrigues Dias
Published/Copyright:
March 10, 2010
Abstract
In previous papers, a new adaptive sampling method was presented for application in the economic statistical control context. By means of an economic model, an optimal solution can be defined. The results obtained previously indicate that the approach might be more useful than both the fixed-sampling-intervals and variable-sampling-intervals approaches. In this paper, further results together with new simple approximations are presented and analyzed. In the light of previous results, the main conclusion is that the new approach seems to be useful for practical purposes as it is comparatively simple and also allows for some reductions in terms of the total expected costs per cycle.
Key words:: Economic statistical quality control; SPC; total expected cost per cycle; intuitive sampling method; optimal and approximate solutions
Published Online: 2010-03-10
Published in Print: 2007-April
© Heldermann Verlag
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Keywords for this article
Economic statistical quality control;
SPC;
total expected cost per cycle;
intuitive sampling method;
optimal and approximate solutions
Articles in the same Issue
- Bivariate Density Classification by the Geometry of the Marginals
- Improving the Variability Function in Case of a Uni-Modal Probability Distribution
- New Results in Economic Statistical Quality Control
- Reliability Analysis Based on Scalar Fuzzy Variables
- A Bayesian Approach to Parallel Stress-Strength Models
- Max-Chart for Autocorrelated Processes
- A Note on Classes of Lifetime Distributions
- Sampling Risks for Chain Sampling Plans with Non-Constant Defective Probability
- Effects of Measurement Error on Controlling Two Dependent Process Steps
- GERT Analysis of m-consecutive-k-out-of-n:F Systems with Dependence
