政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/100763

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政大機構典藏 > 商學院 > 企業管理學系 > 期刊論文 > Item 140.119/100763

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题名:	Using On-line Sensors in Statistical Process Control
作者:	唐揆 Gong, L.;Jwo, W.;Tang, Kwei
贡献者:	企管系
关键词:	Economic Models;On-Line Sensor;Statistical Process Control
日期:	1997-07
上传时间:	2016-08-25 15:52:52 (UTC+8)
摘要:	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.
關聯:	Management Science, 43(7), 1017-1029
数据类型:	article
显示于类别:	[企業管理學系] 期刊論文

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