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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
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/100763


    Title: Using On-line Sensors in Statistical Process Control
    Authors: 唐揆
    Gong, L.;Jwo, W.;Tang, Kwei
    Contributors: 企管系
    Keywords: Economic Models;On-Line Sensor;Statistical Process Control
    Date: 1997-07
    Issue Date: 2016-08-25 15:52:52 (UTC+8)
    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.
    Relation: Management Science, 43(7), 1017-1029
    Data Type: article
    Appears in Collections:[企業管理學系] 期刊論文

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