Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/100763
DC Field | Value | Language |
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dc.contributor | 企管系 | |
dc.creator | 唐揆 | zh_TW |
dc.creator | Gong, L.;Jwo, W.;Tang, Kwei | |
dc.date | 1997-07 | |
dc.date.accessioned | 2016-08-25T07:52:52Z | - |
dc.date.available | 2016-08-25T07:52:52Z | - |
dc.date.issued | 2016-08-25T07:52:52Z | - |
dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/100763 | - |
dc.description.abstract | As manufacturing technology moves toward more computerized automation, statistical process control (SFC) techniques must adapt to keep pace with the new environment and take advantage of the development in automated on-line sensors. In this paper, a two-phase procedure is proposed for combining an on-line sensor and a control chart to improve statistical process control decisions. In phase I of this procedure, a production process is monitored continually by a sensor. When a sensor warning signal is observed, phase 2 takes place: A sample of items is drawn from the process and inspected. If the sample mean is outside the predetermined control limits, the process is stopped, and a search is initiated to determine the actual process status for possible necessary adjustment. If the sample mean is within the control limits, the process continues. A mathematical model is formulated for jointly determining the sample size and the control limit of the control chart and a decision rule for sending out sensor warning signals. The model is based on the assumption that there is only a weak relationship between the sensor measurement and the process condition. A solution algorithm based on a numerical search is developed. A numerical example is used to show the advantage of the proposed model over the models based separately on the sensor and the control chart and a sensitivity analysis is used to show the effects of several important model parameters on the optimal solution. | |
dc.format.extent | 1891603 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.relation | Management Science, 43(7), 1017-1029 | |
dc.subject | Economic Models;On-Line Sensor;Statistical Process Control | |
dc.title | Using On-line Sensors in Statistical Process Control | |
dc.type | article | |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
item.cerifentitytype | Publications | - |
item.openairetype | article | - |
Appears in Collections: | 期刊論文 |
Files in This Item:
File | Description | Size | Format | |
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1017-1029.pdf | 1.85 MB | Adobe PDF2 | View/Open |
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