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    政大機構典藏 > 商學院 > 企業管理學系 > 期刊論文 >  Item 140.119/73715
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/73715


    Title: Monitoring machine operations using on-line sensors
    Authors: Tang, Kwei;Gong, Linguo
    唐揆
    Contributors: 企管系
    Keywords: On-line sensors;Markov process;Bayes rule;Cost minimization
    Date: 1997
    Issue Date: 2015-03-09 16:24:28 (UTC+8)
    Abstract: Monitoring machine operations and production process conditions using on-line sensors has drawn increasing attention recently. In this paper, we discuss a situation where an on-line sensor is used to monitor a randomly deteriorating machine operation. The machine condition is described by a finite number of states, and the machine deterioration follows a Markov process. It is assumed that the sensor measurement and the true machine condition have a statistical relation. A decision is to be made on when a machine setup should be made, based on the observed sensor measurement. A Markovian model is developed by considering the cost of operating the machine and the cost of performing preventive maintenance, and a steady state threshold policy is developed by minimizing the total cost. In addition, a heuristic method based on Bayes rule is proposed. A simulation study is used to study and compare the properties of these two policies.
    Relation: European Journal of Operational Research, 96(3), 479-492
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1016/S0377-2217(96)00101-4
    DOI: 10.1016/S0377-2217(96)00101-4
    Appears in Collections:[企業管理學系] 期刊論文

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