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政大典藏 > College of Commerce > Department of Business Administation > Periodical Articles > Item 140.119/73715

Please use this identifier to cite or link to this item: https://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 link:	http://dx.doi.org/10.1016/S0377-2217(96)00101-4
DOI:	10.1016/S0377-2217(96)00101-4
Appears in Collections:	[Department of Business Administation] Periodical Articles

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