Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/124869
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dc.contributor.advisor陸行zh_TW
dc.contributor.advisorLuh, Hsingen_US
dc.contributor.author劉宏展zh_TW
dc.contributor.authorLiu, Hong-Zhanen_US
dc.creator劉宏展zh_TW
dc.creatorLiu, Hong-Zhanen_US
dc.date2019en_US
dc.date.accessioned2019-08-07T08:35:33Z-
dc.date.available2019-08-07T08:35:33Z-
dc.date.issued2019-08-07T08:35:33Z-
dc.identifierG0105751004en_US
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/124869-
dc.description碩士zh_TW
dc.description國立政治大學zh_TW
dc.description應用數學系zh_TW
dc.description105751004zh_TW
dc.description.abstract考慮一個衝擊系統,它的衝擊依據異質生成過程而產生。這個系統有兩\n種類型的損壞。類型一的損壞可以被修理消除。類型二的損壞可以被不定\n期置換消除。假設兩個連續衝擊之間的時間間隔服從階段型分佈。例如,\n在一個特殊的階段型分佈—亞指數分佈—之下,我們發現穩定機率存在的\n條件。在這個模型下探討年齡置換策略,我們導出置換週期內的期望成本\n率。為了找到最小化期望成本率的最佳定期置換年齡,我們提供一個有效\n率的演算法並開發一個 MATLAB 工具來實現。一系列數值範例促使我們發\n現新的定理,它比以前的定理更簡單,更實際,更直觀。該定理表明最佳定期置換年齡的存在性。zh_TW
dc.description.abstractWe consider a system subject to shocks which occur according to a non-homogeneous pure birth process. The system has two types of failures. Type-I failure can be removed by a repair. Type-II failure can be removed by an unplanned replacement. We assume that the inter-arrival time between consecutive shocks follows phase-type distributions. For example, under a special PH-distribution that is a hypo-exponential distribution, we find the conditions of the existence of stationary probability. Under this model we investigate the age replacement policy. We derive the expected cost rate of a replacement cycle. To find the optimal planned replacement age that minimizes the expected cost rate, we give an efficient algorithm and develop a MALAB tool for implementation. A series of numerical examples motivate us to write a new theorem. That is simpler, more practical, and more intuitive than a previous theorem. This theorem shows the existence of the optimal planned replacement age.en_US
dc.description.tableofcontents1 Introduction 1\n\n2 Model Formulation 4\n2.1 Definitions of NHPBP and Phase-Type Distributions 4\n2.2 Assumptions of the System 5\n2.3 Lifetime of the System 7\n\n3 The Stability of the System 9\n3.1 The Stationary Probability 9\n3.2 The Conditions of the Existence of Stationary Probability 11\n\n4 Age Replacement Policy 14\n4.1 Expected Cost Functions 15\n4.2 The Optimal Planned Replacement Age 17\n\n5 Algorithmic Computation 20\n5.1 The Structure of the Algorithm 22\n5.2 Summary of the Algorithm 23\n\n6 Numerical Examples 25\n\n7 Conclusion 31\n\nAppendix A MATLAB Phase-Type Distribution Tool 32\nA.1 Basic Program 32\nA.1.1 Operators 32\nA.1.2 Functions 33\nA.1.3 Support Program 34\nA.2 Program for Basic the Elements of the System 34\nA.3 Programs for the Optimal Algorithm 37\n\nAppendix B Special Phase-Type Distributions 39\n\nBibliography 41zh_TW
dc.format.extent780415 bytes-
dc.format.mimetypeapplication/pdf-
dc.source.urihttp://thesis.lib.nccu.edu.tw/record/#G0105751004en_US
dc.subject衝擊模型zh_TW
dc.subject階段型分佈zh_TW
dc.subject異質生成過程zh_TW
dc.subject再生過程zh_TW
dc.subject馬可夫過程zh_TW
dc.subject年齡置換策略zh_TW
dc.subject穩定機率zh_TW
dc.subjectShock modelen_US
dc.subjectPhase-type distributionen_US
dc.subjectNon-homogeneous pure birth processen_US
dc.subjectRenewal processen_US
dc.subjectMarkov processen_US
dc.subjectAge replacement policyen_US
dc.subjectStationary probabilityen_US
dc.title以階段型機率分佈表示異質生成衝擊系統zh_TW
dc.titleA System Subject to Non-Homogeneous Pure Birth Shocks with Phase-Type Distributionsen_US
dc.typethesisen_US
dc.relation.reference[1] M. S. A-Hameed and F. Proschan. Nonstationary shock models. Stochastic Processes and their Applications, 1(4):383–404, 1973.\n[2] M. S. A-Hameed and F. Proschan. Shock Models with Underlying Birth Process. Journal of Applied Probability, 12(1):18–28, 1975.\n[3] S. Asmussen, O. Nerman, and M. Olsson. Fitting phase-type distributions via the em algorithm. Scandinavian Journal of Statistics, 23(4):419–441, 1996.\n[4] R. Barlow and L. Hunter. Optimum preventive maintenance policies. Operations Research, 8(1):90–100, 1960.\n[5] P. Buchholz, J. Kriege, and I. Felko. Input Modeling with Phase-Type Distributions and Markov Models: Theory and Applications. Springer, New York, 2014.\n[6] D. R. Cox. Renewal Theory. Methuen, London, 1962.\n[7] J. D. Esary, A. W. Marshall, and F. Proschan. Shock Models and Wear Processes. The Annals of Probability, 1(4):627–649, 1973.\n[8] F. S. Hillier and G. J. Lieberman. Introduction To Operations Research. McGraw-Hill, New York, 10th edition, 2015.\n[9] R. S. Maier and C. A. O’Cinneide. A Closure Characterisation of Phase-Type Distributions. Journal of Applied Probability, 29(1):92–103, 1992.\n[10] D. Montoro-Cazorla, R. PérezOcón, and M. C. Segovia. Shock and wear models under policy N using phase-type distributions. Applied Mathematical Modelling, 33:543–554, 2009.\n[11] M. F. Neuts. Matrix-Geometric Solutions in Stochastic Models: An Algorithmic Approach. The Johns Hopkins University Press, Baltimore, 1981.\n[12] B. F. Nielsen. Lecture notes on phase–type distributions for 02407 Stochastic Processes, 2017.\n[13] S.H. Sheu, C.C. Chang, Z. G. Zhang, and Y.H. Chien. A note on replacement policy for a system subject to non-homogeneous pure birth shocks. European Journal of Operational Research, 216:503–508, 2012.\n[14] H. M. Taylor and S. Karlin. An Introduction to Stochastic Modeling. Academic Press, Cambridge, Massachusetts, 3rd edition, 1998.zh_TW
dc.identifier.doi10.6814/NCCU201900384en_US
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item.openairecristypehttp://purl.org/coar/resource_type/c_46ec-
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