Improved method of estimating the product quality after multiple inspections
| Autor: | Young H. Chun |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
0209 industrial biotechnology
Engineering Strategy and Management Maximum likelihood media_common.quotation_subject education 0211 other engineering and technologies Improved method 02 engineering and technology Management Science and Operations Research Industrial and Manufacturing Engineering 020901 industrial engineering & automation Quality (business) Reliability (statistics) media_common 021103 operations research business.industry Process (computing) humanities Reliability engineering stomatognathic diseases Product (mathematics) Estimation methods business Constant (mathematics) Algorithm |
| Zdroj: | International Journal of Production Research. 54:5686-5696 |
| ISSN: | 1366-588X 0020-7543 |
| DOI: | 10.1080/00207543.2015.1128128 |
| Popis: | A complex product is often inspected more than once in a sequential manner to ensure the product’s quality. Based on the number of defects discovered during each round of inspection process, we can estimate the number of defects still remaining in the product. For each defect, the probability that the defect will be detected during each inspection cycle is usually assumed to be a known ‘constant’. However, in many practical situations, some defects are easily detected, while others are much more difficult to identify. In this paper, we propose a ‘beta-geometric’ inspection model in which the heterogeneity in detection probability is described by a beta distribution. In a numerical study, we show that our more realistic inspection model clearly outperforms traditional estimation methods that are based on the assumption of a constant detection probability. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|