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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

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题名:	Monitoring machine operations using on-line sensors
作者:	Tang, Kwei;Gong, Linguo 唐揆
贡献者:	企管系
关键词:	On-line sensors;Markov process;Bayes rule;Cost minimization
日期:	1997
上传时间:	2015-03-09 16:24:28 (UTC+8)
摘要:	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.
關聯:	European Journal of Operational Research, 96(3), 479-492
数据类型:	article
DOI 連結:	http://dx.doi.org/10.1016/S0377-2217(96)00101-4
DOI:	10.1016/S0377-2217(96)00101-4
显示于类别:	[企業管理學系] 期刊論文

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