Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6895539 | European Journal of Operational Research | 2016 | 9 Pages |
Abstract
A batch of expensive items, such as IC chips, is often inspected multiple times in a sequential manner to further discover more conforming items. After several rounds of screening, we need to estimate the number of conforming items that still remain in the batch. We propose in this paper an empirical Bayes estimation method and compare its performance with that of the traditional maximum likelihood method. In the repetitive screening procedure, another important decision problem is when to stop the screening process and salvage the remaining items. We propose various types of stopping rules and illustrate their procedures with a simulated inspection data. Finally, we explore various extensions to our empirical Bayes estimation method in multiple inspection plans.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Young H. Chun,