dc.contributor | 統計學系 | |
dc.creator (作者) | Yang, Su-Fen;Yang, C.-M. | |
dc.creator (作者) | 楊素芬 | zh_TW |
dc.date (日期) | 2012 | |
dc.date.accessioned | 10-Apr-2015 16:34:44 (UTC+8) | - |
dc.date.available | 10-Apr-2015 16:34:44 (UTC+8) | - |
dc.date.issued (上傳時間) | 10-Apr-2015 16:34:44 (UTC+8) | - |
dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/74474 | - |
dc.description.abstract (摘要) | Using a single chart to monitor simultaneously the process mean and variability if found would cut down the time and effort. Some researches have been done in finding such charts. Moreover, some researches have showed that the adaptive control charts could detect process shifts faster than the traditional Shewhart charts. A much easier loss chart with variable design parameters is proposed here to monitor both the deviation from the process target and the shift in process variability. Furthermore, a more efficient optimal variable design parameters loss chart is proposed and performs better than the loss chart with fixed design parameters and the joint X̄ and S charts. | |
dc.format.extent | 176 bytes | - |
dc.format.mimetype | text/html | - |
dc.relation (關聯) | World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf. | |
dc.subject (關鍵詞) | Adaptive control charts; Design parameters; In-process; Monitoring control; Optimal variables; Process mean; Process shifts; Shewhart chart; Design; Fuzzy logic; Process monitoring; Uncertainty analysis; Flowcharting | |
dc.title (題名) | A new process monitoring control chart | |
dc.type (資料類型) | article | en |
dc.identifier.doi (DOI) | 10.1142/9789814417747_0149 | - |
dc.doi.uri (DOI) | http://dx.doi.org/10.1142/9789814417747_0149 | - |