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Empirical Bayes in Skip Lot Sampling by Alejandro Gonzalez is a document available to read on EtoBox.
This paper proposes an Empirical Bayes approach utilizing weighted squared error loss and K-loss functions within a skip lot sampling plan with resampling (SkSP-R) for quality inspection in manufacturing processes. The study compares the proposed method against traditional sampling plans, demonstrating that it achieves the lowest average sample number and average total inspection while maintaining the highest probability of acceptance. The research highlights the effectiveness of the SkSP-R in reducing insp
- Author
- Alejandro Gonzalez
- Language
- EN