dc.contributor | 統計系 | |
dc.creator (作者) | Yang, Su-Fen;Lin, Liang Yu | |
dc.creator (作者) | 楊素芬;林亮妤 | zh_TW |
dc.date (日期) | 2014-11 | |
dc.date.accessioned | 16-Jun-2015 17:08:50 (UTC+8) | - |
dc.date.available | 16-Jun-2015 17:08:50 (UTC+8) | - |
dc.date.issued (上傳時間) | 16-Jun-2015 17:08:50 (UTC+8) | - |
dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/75861 | - |
dc.description.abstract (摘要) | Product and service quality and productivity loss are all crucial competitive factors of companies in numerous industries. The loss function is a popular method for measuring the loss caused by variations in product or service quality. This study proposes a weighted-loss (WL) control chart to monitor the loss variation among manufacturing or service processes. Because loss is caused by a quality variable deviating from its target value, we set up two corresponding control charts to diagnose the sources of out-of-control loss and implement processes to correct these losses. We further present a WL chart using optimal variable sampling intervals (VSIs) in order to detect out-of-control losses faster compared with a WL chart using a fixed sampling interval (FSI). An example then demonstrates and evaluates the ability of the proposed VSI WL control chart to monitor and diagnose out-of-control process loss. Numerical analyses indicate that the optimal VSI WL chart outperforms the FSI WL chart, the joint X¯ and S2 charts and the VSI Average Loss chart in detecting out-of-control process loss. Thus, the proposed VSI WL chart is recommended. | |
dc.format.extent | 329463 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.relation (關聯) | Quality and Reliability Engineering International, 30(7), 951-959 | |
dc.subject (關鍵詞) | Control charts; Loss control; Loss functions; Variable sampling intervals; Markov processes | |
dc.title (題名) | Monitoring and diagnosing process loss using a weighted-loss control chart | |
dc.type (資料類型) | article | en |
dc.identifier.doi (DOI) | 10.1002/qre.1670 | |
dc.doi.uri (DOI) | http://dx.doi.org/10.1002/qre.1670 | |