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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 吳文方 | |
| dc.contributor.author | Tzu-Yu Kuo | en |
| dc.contributor.author | 郭子瑜 | zh_TW |
| dc.date.accessioned | 2021-06-07T18:10:43Z | - |
| dc.date.copyright | 2012-07-18 | |
| dc.date.issued | 2012 | |
| dc.date.submitted | 2012-07-05 | |
| dc.identifier.citation | [1] M. Ben-Daya and S. Duffuaa, 'Maintenance and quality: the missing link,' Journal of Quality in Maintenance Engineering, vol. 1, pp. 20-26, 1995.
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McCall, 'Maintenance Policies for Stochastically Failing Equipment: A Survey,' Management Science, vol. 11, pp. 493-524, 1965. [18] Y. S. Sherif and M. L. Smith, 'Optimal maintenance models for systems subject to failure–A Review,' Naval Research Logistics Quarterly, vol. 28, pp. 47-74, 1981. [19] W. P. Pierskalla and J. A. Voelker, 'A survey of maintenance models: The control and surveillance of deteriorating systems,' Naval Research Logistics Quarterly, vol. 23, pp. 353-388, 1976. [20] C. Valdez-Flores and R. M. Feldman, 'A survey of preventive maintenance models for stochastically deteriorating single-unit systems,' Naval Research Logistics (NRL), vol. 36, pp. 419-446, 1989. [21] D. I. Cho and M. Parlar, 'A survey of maintenance models for multi-unit systems,' European Journal of Operational Research, vol. 51, pp. 1-23, 1991. [22] D. Rommert, 'Integrating optimisation, priority setting, planning and combining of maintenance activities,' European Journal of Operational Research, vol. 82, pp. 225-240, 1995. [23] T. Aven and R. Dekker, 'A useful framework for optimal replacement models,' Reliability Engineering & System Safety, vol. 58, pp. 61-67, 1997. [24] R. Dekker and P. A. Scarf, 'On the impact of optimisation models in maintenance decision making: the state of the art,' Reliability Engineering & System Safety, vol. 60, pp. 111-119, 1998. [25] A. W. Labib, et al., 'An effective maintenance system using the analytic hierarchy process,' Integrated Manufacturing Systems, vol. 9, pp. 87-98, 1998. [26] M. Ben-Daya and A. Alghamdi, 'On an imperfect preventive maintenance model,' International Journal of Quality & Reliability Management, vol. 17, pp. 661-670, 2000. [27] M. Marseguerra, et al., 'Condition-based maintenance optimization by means of genetic algorithms and Monte Carlo simulation,' Reliability Engineering & System Safety, vol. 77, pp. 151-165, 2002. [28] H. D. Goel, et al., 'Integrated optimal reliable design, production, and maintenance planning for multipurpose process plants,' Computers & Chemical Engineering, vol. 27, pp. 1543-1555, 2003. [29] M. A. Mirghani, 'Application and implementation issues of a framework for costing planned maintenance,' Journal of Quality in Maintenance Engineering, vol. 9, pp. 436-449, 2003. [30] J. Liu and D. Yu, 'Evaluation of plant maintenance based on data envelopment analysis,' Journal of Quality in Maintenance Engineering, vol. 10, pp. 203-209, 2004. [31] S. Mathew, 'Optimal inspection frequency: A tool for maintenance planning/forecasting,' International Journal of Quality & Reliability Management, vol. 21, pp. 763-771, 2004. [32] K. Farhad, 'A numerical method to approximate optimal production and maintenance plan in a flexible manufacturing system,' Applied Mathematics and Computation, vol. 170, pp. 924-940, 2005. [33] J. Pongpech, et al., 'Maintenance strategies for used equipment under lease,' Journal of Quality in Maintenance Engineering, vol. 12, pp. 52-67, 2006. [34] N. Nahas, et al., 'Extended great deluge algorithm for the imperfect preventive maintenance optimization of multi-state systems,' Reliability Engineering & System Safety, vol. 93, pp. 1658-1672, 2008. [35] F. Cadini, et al., 'Model-based Monte Carlo state estimation for condition-based component replacement,' Reliability Engineering & System Safety, vol. 94, pp. 752-758, 2009. [36] A. Sharma, et al., 'A literature review and future perspectives on maintenance optimization,' Journal of Quality in Maintenance Engineering, vol. 17, pp. 5-25, 2011. [37] 戴江淮, '機率、隨機程序與佇列理論,' 2006. [38] H. E. Ascher and C. K. 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Ebeling, 'An introduction to reliability and maintainability engineering, 1997,' ed: Waveland Press, Inc, Illinois. [46] A. E. Elsayed, 'Reliability engineering,' 1996. [47] 關季明, '維護度工程與系統可用度,' 中華民國品質學會, 民 86 年, 1991. [48] K. K. Das and D. Acharya, 'On the choice of optimal preventive maintenance policy for maximizing generation of thermal power plants,' Energy Conversion, IEEE Transactions on, vol. 14, pp. 1551-1557, 1999. [49] 台灣電力公司, '年產銷概況,' 2011. [50] 台灣電力公司, '核能資訊透明化資訊系統,' 2011. [51] 台灣電力公司, '核能發電原理,' 2011. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/16345 | - |
| dc.description.abstract | 由於國內電價即將調漲，電廠的管理問題備受重視與討論。事實上，在安全與成本雙重考量下，如何為電廠訂定一合理維修策略本來就是一個很重要的議題。傳統上，複雜的維護規劃主要在尋求高層次的可靠度、可用度、維護度和低成本，只考慮到測試和維修時間，而忽略了維修資源的影響，此維修資源通常包括維修設備與可投入維修人員的數目。為了講求與實務一致，我們在可靠度與維護度分析時，需要將維修資源視為一重要參數來探討，同時考慮此參數失效對維護策略釐定的影響。就此，本研究以通用等候理論為分析依據，並以國內某一電廠內的幫浦為案例，配合真實失效資料，以系統化方法建構電廠幫浦之可靠度分析模式，先分析系統失效情形，再考量維修資源對分析結果的影響；同時，我們也分析幫浦之生命週期成本，以決定最佳維修資源數量；最後，我們探討電廠幫浦之最佳維護排程，期能在兼顧電廠安全與營運績效下，提升幫浦之可用度。根據計算的結果，本研究主要結論為適當地增加維修資源數量和施行預防維護對幫浦的績效確實有正面的影響，代表考慮維修資源帶來的影響和施行預防維護有其必要性。 | zh_TW |
| dc.description.abstract | The power-plant management issues have recently attracted intensive attentions and discussions owing to the raise of electricity tariff. In fact, planning a reasonable maintenance strategy under the dual consideration of safety and cost has always been an important task for a power plant. The traditional complex maintenance plan is to search for high-level reliability and availability at a reasonable cost by taking into account only the testing and maintenance time. It ignores the impact of maintenance resource which, in general, includes maintenance equipment and numbers of maintenance personnel. In order to be consistent with real practices, one can consider maintenance resource as an important factor in the reliability and maintainability analysis of power plants and take its failure into account in planning a maintenance strategy. Under this consideration, the present thesis applies queueing theory to analyze the real failure data of pumps of a domestic power plant. The result is then used for constructing a more complete reliability model taking into account the factor of maintenance resource. The life cycle cost of pump is also taken into consideration to determine the optimal amount of maintenance resources. An optimal maintenance scheduling of pumps is proposed based on the result of analysis. The result of this thesis indicates both the increase of maintenance resource and the implementation of preventive maintenance really have positive impacts on pumps performance. Therefore, the consideration of maintenance resource and implementation of preventive maintenance is strongly suggested for a plant. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-07T18:10:43Z (GMT). No. of bitstreams: 1 ntu-101-R99546025-1.pdf: 1243456 bytes, checksum: d54a603278d0a9c021d5bd20af72f7c6 (MD5) Previous issue date: 2012 | en |
| dc.description.tableofcontents | 口試委員會審定書 #
誌謝 i 摘要 ii Abstract iii 目錄 iv 表目錄 ix 圖目錄 xii 符號說明 xvii 第一章 緒論 1 1.1 研究背景與動機 1 1.2 文獻回顧 4 1.3 研究目的 7 1.4 研究內容與本文架構 7 第二章 等候理論 9 2.1 隨機過程 9 2.1.1 隨機過程簡介 9 2.1.2 隨機點過程模型 9 2.2 等候理論 13 2.2.1 等候理論簡介 13 2.2.2 等候模式的基本架構 13 2.2.3 生死過程 15 2.2.4 等候理論的應用 16 2.3 模擬 19 2.3.1 模擬簡介 19 2.3.2 模擬的分析方法 20 2.3.3 模擬模型的組成元素 20 2.3.4 模擬研究的基本過程 22 2.3.5 終態模擬和穩態模擬 22 2.4 維修過程等候模型之架構 23 第三章 可靠度理論 25 3.1 可靠度 25 3.1.1 可靠度簡介 25 3.1.2 不可維修系統或組件之可靠度數學模式 26 3.1.3 可維修系統或組件之可靠度數學模式 30 3.2 維護度 31 3.2.1 維護度和維護簡介 31 3.2.2 停機時間分析 31 3.2.3 主動維護 33 3.2.4 被動維護 36 3.2.5 維護度數學模式 36 3.3 可用度 37 3.4 維護排程策略 39 3.4.1 維護策略簡介 39 3.4.2 固定間隔維護策略 40 3.4.3 其他維護策略 42 3.5 適配失效與維修時間數據之統計分析 43 3.5.1 機率圖法簡介 43 3.5.2 指數分配機率圖 43 3.5.3 韋伯分配機率圖 44 3.5.4 常態分配機率圖 44 3.5.5 對數常態分配機率圖 45 3.5.6 缺乏數據情況之分配適配 45 3.6 決策分析工具 45 3.6.1 生命週期成本 45 3.6.2 動態規劃 47 3.7 維修過程等候模型之維修過程績效評估 49 第四章 案例探討 52 4.1 案例說明 52 4.2 模型建構 55 4.2.1 考慮維修資源失效之等候模型 55 4.2.2 生命週期成本分析 63 4.2.3 維修資源數量之決策 64 4.2.4 維護排程策略之決策 65 4.2.5 應用動態規劃作兩階段決策之整合 66 4.3 統計分析 67 4.3.1 統計分析方法 67 4.3.2 利用指數分配適配幫浦數據 67 4.3.3 利用韋伯分配適配幫浦數據 69 4.3.4 利用常態分配適配幫浦數據 70 4.3.5 利用對數常態分配適配幫浦數據 71 4.3.6 分析結果 73 4.4 生命週期成本分析與維修資源數量之決策 74 4.4.1 等候模擬模型建立與參數設定 74 4.4.2 不同維修資源數量下之可用度比較 75 4.4.3 不同維修資源數量下之生命週期成本比較 113 4.4.4 分析結果 116 4.5 生命週期成本分析與維護排程策略之決策 116 4.5.1 參數設定 116 4.5.2 不同預防維護間隔週期下之可用度比較 117 4.5.3 不同預防維護間隔週期下之生命週期成本比較 129 4.5.4 分析結果 137 4.6 應用動態規劃作兩階段決策之整合 138 4.6.1 動態規劃模型建立 138 4.6.2 動態規劃求解與分析結果 140 第五章 結論與後續工作 143 5.1 研究結論 143 5.2 具體建議 144 5.3 後續工作 145 參考文獻 147 | |
| dc.language.iso | zh-TW | |
| dc.subject | 可靠度 | zh_TW |
| dc.subject | 等候理論 | zh_TW |
| dc.subject | 風險管理 | zh_TW |
| dc.subject | 維修資源 | zh_TW |
| dc.subject | maintenance resource | en |
| dc.subject | reliability | en |
| dc.subject | queueing theory | en |
| dc.subject | risk management | en |
| dc.title | 有限資源下之可靠度分析與維護排程探討─以電廠幫浦為例 | zh_TW |
| dc.title | Reliability Analysis and Maintenance Scheduling under Limited Resources with Application to Pumps of a Power Plant | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 100-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 吳政鴻,黃奎隆,徐堯 | |
| dc.subject.keyword | 可靠度,風險管理,維修資源,等候理論, | zh_TW |
| dc.subject.keyword | reliability,risk management,maintenance resource,queueing theory, | en |
| dc.relation.page | 149 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2012-07-05 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 工業工程學研究所 | zh_TW |
| 顯示於系所單位： | 工業工程學研究所 | |
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