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研究生: 謝政翰
Hsieh, Jeng-Han
論文名稱: 不可維修產品在型I設限下之最適採樣計劃-以IC產品為例
指導教授: 黃宇翔
Huang, Y. S.
學位類別: 碩士
Master
系所名稱: 管理學院 - 工業與資訊管理學系
Department of Industrial and Information Management
論文出版年: 2004
畢業學年度: 92
語文別: 中文
論文頁數: 46
中文關鍵詞: 混合式保固政策韋伯分配貝氏決策分析
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  •   隨著市場競爭愈來愈激烈且IC 產品可靠度的日益增進,如何選用合適壽命試驗之抽樣計畫是很重要的一個決策問題。對廠商而言,一個較佳的壽命抽樣試驗計畫可以幫助其於IC 試驗時降低試驗進行的時間與耗費的成本,甚至節省產品允收後上架的時間;而對消費者而言通過壽命試驗的產品能夠增加其消費的慾望,進而刺激消費,因此如何選擇一個最適的產品壽命試驗抽樣計畫能使廠商所付出的試驗成本最小就是本研究的重心所在。本研究主要設定在IC 產品壽命服從雙參數韋伯分配且假設其尺度(scale)與形狀(shape)參數皆為隨機變數下,利用貝氏決策分析模式將其分為事前、事中與事後分析三個階段,然後進行期望抽樣試驗成本方程式的建置,其中考量拒收成本、允收成本、保固成本、試驗成本等相關成本因素對抽樣試驗所造成的影響,以幫助其得到最適參數的壽命抽樣試驗計畫,使得廠商進行此類抽樣試驗時成本達到最小,並且提供試驗準則讓決策者有所依循。

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    目錄 摘要 I 目錄 II 圖目錄 IV 表目錄 Ⅴ 第一章、緒論 1 第一節、研究背景 1 第二節、研究動機 2 第三節、研究目的 3 第二章、文獻探討 5 第一節、壽命試驗 5 一、基本概念 5 二、壽命試驗之抽樣計畫 7 三、貝氏壽命試驗抽樣計畫之相關文獻 8 第二節、保固政策 10 一、基本概念 10 二、保固相關之分析 11 三、保固與壽命檢測分析之相關研究 13 第三節、IC壽命分配與試驗 14 第三章、研究方法 17 第一節、問題描述 17 第二節、研究架構 21 第三節、模式建構 23 第四章、應用分析 31 第一節、實例說明及參數假設 31 第二節、決策分析及結果 32 第三節、討論 36 第五章、結論 第一節、研究成果 38 第二節、研究限制 38 第三節、未來研究方向 39 參考文獻 41 圖目錄 圖3-1 本研究之研究架構圖 22 圖3-2 事前分析之決策樹 25 圖3-3 事後分析之決策樹 26 圖4-1 本研究之估計之ENGS(m')曲線圖 35 表目錄 表4-1 參數值之設定 32 表4-2 事前分析之試驗成本 33 表4.3 事後分析之試驗成本 36 表4.4 貝氏決策分析之結果 37

    參考文獻
    楊宗豫,民84,「保證策略之風險分析-不可維修產品的比較研究」,國立台灣工
    業技術學院管理技術研究所工業管理學程碩士論文。
    Amato, H.N. and Anderson, E.E. ,1976, “Determination of warranty reserves: an
    Extension,” Management Science, 22(2), 1391-1394.
    Blischke,W.R. and Scheuer,E.M. ,1975 , “ Calculation of the cost of warranty policies
    as a function of estimated life distributions,” Naval Research Logistics Quart.22 ,
    681-696.
    Blischke, W.R. and Scheuer, E. M., 1981,“Application of renewal theory in analysis
    of free-replacement warranty,” Naval Research Logistics Quart. 28, 193-205.
    Bulgren, W. and Hewette, J., 1973,“Double sample test for hypotheses about the mean
    of an Exponential distribution,” Technometrics,15, 187-190.
    Bury, K.V. ,1972 ,“ Bayesian decision analysis of the hazard rate for a Two-Parameter
    Weibull Process,” IEEE Transactions on Reliability,21(3), 159-169.
    Chandramouli, R. ,Vijaykrishnan, N. and Ranganathan, N.,1998,“ Sequential tests
    for integrated-circuit failures,” IEEE Transactions on Reliability, 47(4), 463-471.
    Conrad, T. R. , Mielnik, R. J. and Musolino, L.S. ,1988,“ A test methodology to
    monitor and predict early life reliability failure mechanisms,“ AT&T
    Microelectronics, Allentown, PA, IEEE IRPS
    Dunsmore, I.R., 1974, “ The Bayesian predictive distribution in life testing
    models ,” Technometrics.16(3), 455-460.
    Epstein, B. and Sobel, M., 1953, “ Life –Testing,” Journal of American Statistical
    Association. 48, 486-502.
    Epstein, B., 1954, “Truncated Life Tests in the Exponential Case,” Annals of
    Math. and Stat., 25, 555-564.
    42
    Eliashberg, J., Singpurwalla, N. D., and Wilson, S. P., 1997, “Calculating the reserve
    for a time and usage indexed warranty,” Management Science, 43(7), 966-975.
    Fairbanks, K. , 1988 , “ A two stage life test for the exponential parameter, ”
    Technometrics, 30, 175-180.
    Fertig, K.W. and Mann, N.R., 1980, “Life-test sampling plans for two-parameter
    Weibull population,” Technometrics, 22, 165-177.
    Frees, W. W. and Nam, S. H. , 1988, “Approximating expected warranty cost,”
    Management Science, 22, 1381-1390.
    Harter, H. L. and Moore, A. H., 1976, “An Evaluation of Exponential and Weibull
    Test Plans,” IEEE Transactions on Reliability, 25(2), 100-104.
    Huang, W.T. and Lin, Y.P. , 2002 , “An improved Bayesian sampling plan for
    exponential population with type I censoring,” Communications in Statistics-Theory
    and Methods, 31(11) , 2003-2025.
    Kao, E.P.C., and Smith, M.S., 1993, “Discounted and per unit net revenues and
    Costs of product warranty: the case of phase-type lifetimes,” Manegement
    Science, 39(10), 1246-1254.
    Kar, T.R. and Nachlas, J.A. , 1997, “ Coordinated warranty & burn-in strategies,”
    IEEE Transactions on Reliability, 46(4), 512-518.
    Koji Hisada and Ikuo Arizino, , 2002 ,“ Reliability Tests for Weibull Distribution with
    Varying Shape-Parameter, Based on Complete Data,” IEEE Transactions on
    Reliability, 51(3) , 331-336.
    Kwon, Y. I. , 1996 a, “A Bayesian Life Test Sampling Plan for Non-Repairable
    Products Sold under Warranty,” International Journal of Quality & Reliability
    Management, 13(5), 40-49.
    Kwon, Y. I. , 1996 b, “A Bayesian Life Test Sampling Plan for Products with Weibull
    Lifetime Distribution Sold under Warranty, ” Reliability Engineering and System
    Safety, 53, 61-66.
    43
    Lawless, J.F.,1982, Statistical Models and Methods for Life time Data , John Wiley
    and Sons, New York
    Lee, E.T., 1992, Statistical Methods for Survival Data Analysis( 2nd ed) , John Wiley
    a nd Sons, New York
    Leung, Y. W. ,1993,“Optimal life testing schedule for multiple types of integrated
    circuits,”IEEE Transactions on Semiconductor Manufacturing, 6(4),318-323.
    Leung, Y. W. ,1996,“Reducing the cost variance in life testing of integrated
    circuits,”,IEEE Transactions on Semiconductor Manufacturing, 9(1),149-152.
    Lin, Y.P., Liang , T. C. and Huang, W. T. , 2002 , “ Bayesian sampling plans for
    exponential distribution based on type I censoring data,” Annals of the Institute
    of Statistical Mathematics, 54(1), 100-113.
    Lam, Y. , 1994 , “ Bayesian variable sampling plans for the exponential distribution
    with type I censoring,” Annals of Statistics,22(2), 696-711.
    Manke, W. W., 1969, “ Determination of Warranty Reserves,” Management Science,
    15, 542-549
    Mamer, J.W., 1987, “Discount and per unit costs of product warranty,” Management
    Science, 33(7), 916-930.
    Meeker Jr. ,W. Q. ,1984 ,“ A general model for estimating warranty costs for
    Repairable products,”Technometrics , 29(1) ,51-65.
    Mi, J., 1999, “Comparisons of renewable warranties, ”Naval Research Logistics,
    46(1), 91-106.
    Murthy, D.N.P. and Blischke, W. R. , 2000 , “ Strategic Warranty Management: A
    Life-Cycle Approach, ” IEEE Transactions on Engineering Management, 47(1),
    40-54.
    Muller, P. and parmigiani, G.(1995)“Optimal design via curve fitting of Monte
    Carlo experiments,” Journal of the American Statistical Association — Theory
    and Methods, 90,.1322-1330.
    44
    Monga, A. and Zuo, M.J., 1998, “Optimal system design considering maintenance
    and warranty,” Computers and Operations Research, 25(9), 691-705.
    Miller, R.G. , 1981, Survival Analysis, John Wiley and Sons, New York
    Nigm, A.M. and Ismail, M.A. , 1985 , “ Bayesian life test sampling plans for the two
    parameter exponential distribution,” Communication Statistics-Simulation and
    Computation, 14, 691-707.
    Nguyen, D.G. ,and Murthy, D. N. P.,1984, “ Cost analysis of warranty policies,”
    Naval Research Logistics, 31, 525-541.
    Oates, A.S. ,1998,“ A model for electronmigration failure distribution of contacts
    and vias in advanced IC technologies,” Proceeding 5th International Conference
    on , 234 -237.
    Schneider, H., 1989, “ Failure-Censored Variables-Sampling Plans for Lognormal and
    Weibull Distributions,” Technometrics, 31, 199-206.
    Thomas, M. U. and Rao, S. S., 1999, “ Warranty Economic Decision Models : A
    Summary and Some Suggested Directions for Future Research,” Operation Research,
    47(6), 807-820.
    Thyregod, P. , 1975, “ Bayesian Single Sampling Plans for Life Testing with
    Truncation of the Number of Failures,” Scandinavian Journal of Statistics,
    Theory and Applications, 2, 61-70.
    Thyregod, P. , 1975, “ Bayesian single sampling plans for life testing with truncation
    of the number of failures,” Scandinavian Journal of Statistics, Theory and
    Applications, 2, 61-70.
    Vintr, Z., 1999, “ Optimization of the reliability requirements from manufacturer’s
    point of view,”IEEE 1999 Proceedings Annual Reliability and Maintainability
    Symposium, 183-189.
    Waller, R.A., Johnson, M.M., Waterman, M.S. and Martz, H.F. , 1977, “ Gamma
    prior distribution selection for Bayesian analysis of failure rate and reliability, ”
    Nuclear Systems Reliability Engineering and Risk Assessment, 10, 584-606.
    Zhang, Y. and Meeker, W.K., 2002, “ Bayesian Life Test Planning for the Weibull
    Distribution with Given Shape Parameter,” unpublished paper
    ( http://www.stat.iastate.edu/preprint/articles/2002-03.pdf )
    Zuo, M. J., Liu, B. and Murthy, D. N. P. , 2000 , “ Replacement repair policy for
    multi-state deteriorating products under warranty,” European Journal of
    Operational Research, 123, 519-530.

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