博碩士論文 974206016 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:20 、訪客IP:18.225.175.230
姓名 楊人旭(Jen-hsu Yang)  查詢紙本館藏   畢業系所 工業管理研究所
論文名稱 考慮虛擬年齡與利用率之最佳不完美維護策略
(Optimal policy for imperfect maintenance system with consideration of virtual age and utilization)
相關論文
★ 應用失效模式效應分析於產品研發時程之改善★ 服務品質因子與客戶滿意度關係研究-以汽車保修廠服務為例
★ 家庭購車決策與行銷策略之研究★ 計程車車隊派遣作業之研究
★ 電業服務品質與服務失誤之探討-以台電桃園區營業處為例★ 應用資料探勘探討筆記型電腦異常零件-以A公司為例
★ 車用配件開發及車主購買意願探討(以C公司汽車配件業務為實例)★ 應用田口式實驗法於先進高強度鋼板阻抗熔接條件最佳化研究
★ 以層級分析法探討評選第三方物流服務要素之研究-以日系在台廠商為例★ 變動良率下的最佳化批量研究
★ 供應商庫存管理架構下運用層級分析法探討供應商評選之研究-以某電子代工廠為例★ 台灣地區快速流通消費產品銷售預測模型分析研究–以聯華食品可樂果為例
★ 競爭優勢與顧客滿意度分析以中華汽車為例★ 綠色採購導入對電子代工廠的影響-以A公司為例
★ 以德菲法及層級分析法探討軌道運輸業之供應商評選研究–以T公司為例★ 應用模擬系統改善存貨管理制度與服務水準之研究-以電線電纜製造業為例
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
  3. 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。

摘要(中) 本論文的主要目的是建立一不完美維護模式,結合在虛擬年齡與利用率下之最佳維護策略,而使得總成本最小。
本論文以Liu et al. (1995)的概念為基礎,除了虛擬年齡外,系統的利用率也會影響系統的失敗率,其中利用率是一個隨機過程且具有馬可夫性質,所以是一馬可夫鏈。在此假設下,我們考慮在一有限時間內運用動態規劃法求得最佳的維護區間,並且依據不同的利用率探討維護區間的變化。
摘要(英) The main objective of this thesis is to construct an imperfect maintenance model, which combines virtual age and utilization, for determining the optimal policy to minimize the total cost.
The concept of our virtual age function is based on Liu, Makis and Jardine (1995). However, we add a variable, utilization rate here which is different from the original concept. The utilization rate is a stochastic process with Markov property, so the stochastic process is a Markov chain. The restoration degree and utilization of the system are both assumed to influence the failure intensity following a virtual age process. In this situation, we finally use dynamic programming to find the optimal overhaul intervals with finite planning horizon, and show how it varies with alternation of utilization.
關鍵字(中) ★ 利用率
★ 修理
★ 維護
★ 虛擬年齡
關鍵字(英) ★ Repair
★ Virtual age
★ Maintenance
★ Utilization
論文目次 中文摘要 i
Abstract ii
Content iii
List of Figures iv
List of Tables v
1. Introduction 1
1.1 Background and motivation 1
1.2 Research objective 1
1.3 Research framework 2
2. Literature Review 4
2.1 Definition of maintenance 4
2.2 Maintenance classification 4
2.3 The virtual age method 8
2.4 Utilization 9
3. The Model 10
3.1 Model assumptions 10
3.2 The virtual age function 12
3.3 The maintenance model and notations 13
4. Numerical Study 16
4.1 Data setting 16
4.2 Numerical analysis 16
4.3 Sensitive analysis 17
5. Conclusion and Future Research 25
5.1 Conclusion 25
5.2 Future research 25
Reference 26
參考文獻 [1] Anderson J. A. and A. Senthilselvan (1980), “Smooth Estimates for the Hazard Function,” Journal of the Royal Statistical Society. Series B (Methodological),42 (3),322-327
[2] Bandopadhyaya, A. (1994), “An Estimation of the Hazard Rate of Firms Under Chapter 11 Protection,” The Review of Economics and Statistics 76 (2), 346-350
[3] Chun, Y. H. (1992), “Optimal number of periodic preventive maintenance operations under warranty,” Reliability Engineering and System Safety 37 (3), 223–225.
[4] Cox, D. R. (1972), “Regression models and life-tables,” Journal of the Royal Statistical Society. Series B (Methodological), 34 (2), 187-220.
[5] Kijima, M. (1989), “Some Results for Repairable Systems with General Repair,” Journal of Applied Probability, 26, 89-102.
[6] Lie, C.H. and Y. H. Chun. (1986), “An algorithm for preventive maintenance policy,” IEEE Transactions on Reliability R- 35/l, 71-75.
[7] Liu, X.G., V. Makis and A.K.S. Jardine (1995), “A Replacement Model with Overhauls and Repairs,” Naval Research Logistics, 42, 1063-1079.
[8] Nakagawa, T. (1984), “Optimal policy of continuous and discrete replacement with minimal repair at failure,” Naval Research Logistics Quarterly 31 (4), 543–550.
[9] Nakagawa, T. (1979), “Optimum Policies when Preventive Maintenance is Imperfect,” IEEE Transactions on Reliability R- 28/4,331-332.
[10] Nakagawa, T. (1981a), “A summary of periodic replacement with minimal repair at failure,” Journal of the Operations Research Society of Japan, 24, 213–228.
[11] Nakagawa, T. (1981b), “Modified periodic replacement with minimal repair at failure,” IEEE Transactions on Reliability R 30, 165–168.
[12] Nakagawa, T. (1986), “Periodic and Sequential Maintenance Policies,” Journal of Applied Probability, 23, 536-542.
[13] Nakagawa, T. (1988), “Sequential Imperfect Preventive Maintenance Policies,” IEEE Trans Reliability, 37, 295–8.
[14] Pham, H. and H. Wang (1996), “Imperfect Maintenance,” European Journal of Operational Research, 94, 425-438.
[15] Pham, H. and H. Wang (1999), “Some maintenance models and availability with imperfect maintenance in production systems,” Annals of Operations Research 91, 305–318.
[16] Prentice, R. L. (1973), “Exponential survivals with censoring and explanatory variables,” Biomnetrika, 60(2), 279-288
[17] Sheu, S., W. S. Griffith and T. Nakagawa, (1995), “Extended optimal replacement model with random minimal repair costs,” European Journal of Operational Research 85, 636–649.
[18] Sheu, S., C. Kuo and T. Nakagawa, (1993), “Extended optimal age replacement policy with minimal repair,” RAIRO: Recherche Operationnelle 27 (3), 337–351.
[19] Wang, H. (2002), “A Survey of Maintenance Policies of Deteriorating Systems,” European Journal of Operational Research”, 139, 469–489.
指導教授 葉英傑(Ying-chieh Yeh) 審核日期 2010-7-5
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明