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| Title | Monitoring machine operations using on-line sensors |
| Creator | Tang, Kwei;Gong, Linguo 唐揆 |
| Contributor | 企管系 |
| Key Words | On-line sensors; Markov process; Bayes rule; Cost minimization |
| Date | 1997 |
| Date Issued | 9-Mar-2015 16:24:28 (UTC+8) |
| Summary | 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 |
| Type | article |
| DOI | http://dx.doi.org/10.1016/S0377-2217(96)00101-4 |
| dc.contributor | 企管系 | |
| dc.creator (作者) | Tang, Kwei;Gong, Linguo | |
| dc.creator (作者) | 唐揆 | zh_TW |
| dc.date (日期) | 1997 | |
| dc.date.accessioned | 9-Mar-2015 16:24:28 (UTC+8) | - |
| dc.date.available | 9-Mar-2015 16:24:28 (UTC+8) | - |
| dc.date.issued (上傳時間) | 9-Mar-2015 16:24:28 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/73715 | - |
| dc.description.abstract (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. | |
| dc.format.extent | 995972 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | European Journal of Operational Research, 96(3), 479-492 | |
| dc.subject (關鍵詞) | On-line sensors; Markov process; Bayes rule; Cost minimization | |
| dc.title (題名) | Monitoring machine operations using on-line sensors | |
| dc.type (資料類型) | article | en |
| dc.identifier.doi (DOI) | 10.1016/S0377-2217(96)00101-4 | en_US |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1016/S0377-2217(96)00101-4 | en_US |