| dc.contributor | 統計系 | - |
| dc.creator (作者) | 楊素芬 | - |
| dc.creator (作者) | Yang, Su-Fen | - |
| dc.creator (作者) | Lu, Shin-Li;Chen, Jen-Hsiang | - |
| dc.date (日期) | 2021-12 | - |
| dc.date.accessioned | 30-五月-2022 16:03:31 (UTC+8) | - |
| dc.date.available | 30-五月-2022 16:03:31 (UTC+8) | - |
| dc.date.issued (上傳時間) | 30-五月-2022 16:03:31 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/140181 | - |
| dc.description.abstract (摘要) | An auxiliary information-based (AIB) maximum exponentially weighted moving average (MaxEWMA) chart has been proposed to simultaneously monitor both increases and decreases in the process mean and/or variability, called the AIB-MaxEWMA chart, which is superior to the existing MaxEWMA chart. In this paper, we propose the AIB maximum generally weighted moving average chart, called the AIB-MaxGWMA chart, to further enhance the sensitivity of the AIB-MaxEWMA chart. Numerical simulation studies indicate that the AIB-MaxGWMA chart is sensitive to small shifts in the process mean and/or variability. The performance of the AIB-MaxGWMA chart based on average run lengths (ARLs) also outperforms than its counterparts including AIB-MaxEWMA, MaxGWMA and MaxEWMA charts. An example is used to illustrate the efficiency of the proposed AIB-MaxGWMA chart in detecting small process shifts. | - |
| dc.format.extent | 96 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Quality and Reliability Engineering International, 37(8), 3242-3261 | - |
| dc.subject (關鍵詞) | auxiliary information; average run length; MaxEWMA chart; MaxGWMA chart; statistical pro-cess control | - |
| dc.title (題名) | Auxiliary information-based maximum generally weighted moving average chart for simultaneously monitoring process mean and variability | - |
| dc.type (資料類型) | article | - |
| dc.identifier.doi (DOI) | 10.1002/qre.2906 | - |
| dc.doi.uri (DOI) | https://doi.org/10.1002/qre.2906 | - |
