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    政大機構典藏 > 商學院 > 統計學系 > 學位論文 >  Item 140.119/85879


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/85879


    Title: EWMA管制圖在多等級產品的管制
    Authors: 劉泰亨
    Contributors: 楊素芬
    劉泰亨
    Keywords: 多等級產品
    EWMA管制圖
    非機遇因素
    Multiple product grades
    EWMA control charts
    Assignable causes
    Date: 1998
    Issue Date: 2016-04-21 09:54:39 (UTC+8)
    Abstract: 隨著經濟不斷的發展與進步，商品市場的需求漸趨多元，廠商彼此之間的競爭愈來愈激烈，為了滿足客戶多元的需求，採用多等級製程的生產方式成為廠商製造產品的一種策略。Doganaksoy, Schmee, and Vandeven (1996)提出使用EWMA管制圖監控多等級產品製程的方法，利用合併資料之EWMA管制圖可以更快速地偵測出同時影響所有等級產品品質特性之非機遇因素是否發生。但是他們並沒有考慮到管制圖的經濟層面，因此本文主要探討如何由經濟觀點設計EWMA管制圖以監控生產多等級產品的製程。
    With the progress of the economic of the world and the various demands of the consumers, there is a new strategy to product with multiple product grades. Doganaskoy, Schmee, and Vandeven(1996) had provided a method of using a combined exponentially weighted moving average (EWMA) control charts that allow speedy detection of assignable causes affecting all grades. But this control scheme is not designed from economic viewpoint. In this paper we will discuss how to construct an economic model for the EWMA control chart to monitor the process with multiple product grades.
    Reference: 1. 田口玄一 原著，蘇學恭 翻譯(1986)，品質工程－品質從產品與製 程的設計開始，中國生產力中心.
    2. 楊素芬和鄭明芳(1994)，兩個非機遇因素下S管制圖之經濟設計， 國立政治大學學報，第69期，頁193-214.
    3. Banerjee, P., and Rahim, M. (1987), "The Economic Design of Control Charts : A Renewal Theory Approach", Engineering Optimization, Vol.12 pp.63-73.
    4. Crosby, P. B. (1984), Quality Without Tears: The Art of Hasslefree Management, Mcgraw-Hill, New York.
    5. Crowder, S. V. (1987a), "A Simple Method for Studying Run-Length Distributions of Exponentially Weighted Moving Average Charts",Technometrics , Vol. 29, No. 4, pp.401-407.
    6. Crowder, S. V. (1987b), "Average Run Lengths of Exponentially Weighted Moving Average Control Charts", Journal of Quality Technology, Vol. 19, No. 3, pp.161-164.
    7. Deming, W. E. (1982), Quality Productivity and Competitive Position, Cambridge, M.E:MIT, Center for Advanced Engineering Study.
    8. Doganaskoy, N., Schmee, J., and Vandeven, M. (1996), "Process Monitoring with Multiple Product Grades", Journal of Quality Technology, Vol. 28, No. 3, pp.346-355.
    9. Duncan, A. (1956), "The Economic Design of Chart Used to Maintain Current Control of a Process", Journal of the American Statistical Association, Vol. 51, pp.228-242.
    10. Duncan, A. (1971), "The Economic Design of Charts Where There Is a Multiplicity of Assignable Cause", Journal of the American Statistical Association, Vol. 66, pp.107-121.
    11. Hunter, J. S. (1986), "The Exponentially Weighted Moving Average",Journal of Quality Technology, Vol. 18, No. 4, pp.203-210.
    12. Juran, J. M. (1989), Juran on Leadership for Quality, Maxwell Macmillan International, New York.
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    15. Lucas, J. M., and Saccucci M. S. (1987),"Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements", Faculty Working Series Paper 87-5, Drexel University, Dept. of Quantitative Methods.
    16. Lucas, J. M., and Saccucci M. S. (1990), "Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements", Technometrics, Vol. 32, No. 1, pp.1-12.
    17. Montgomery, D. C., Gardiner, J. S., and Pizzano, B. A. (1987),"Statistical Process Control Methods for Detecting Small Process Shifts", in Frontiers in Statistical Quality Control, eds. H.-J. Lenz, G. B. Wetherill, and P. T. Wilrich, Heidelberg, West Germany: Physica-Verlag, pp.161-178.
    18. Montgomery, D. C. (1996), Introduction to Statistical Quality Control, John Wiley & Sons, Inc., New York.
    19. Montgomery, D. C., Torng, J. C.-C., Cochran, J. K., and Lawrence F. P. (1995), "Statistically Constrained Economic Design of the EWMA Control Chart", Journal of Quality Technology, Vol. 27, No. 3, pp.250-256.
    20. Panagos, M. R., Heikes, R. G., and Montgomery, D. C. (1985),"Economic Design of Control Charts for Two Manufacturing Process Models", Naval Research Logistics Quarterly, Vol. 32, pp.631-646.
    21. Roberts S. W. (1959), "Control Chart Tests Based on Geometric Moving Averages", Technometrics, Vol. 1, pp.239-250.
    22. Robinson, P. B., and Ho, T. Y. (1978), "Average Run Lengths of Geometric Moving Average Charts by Numerical Methods", Technometrics, Vol. 20, pp.85-93.
    23. Ross, S. M. (1993), Introduction to Probability Models, Academic Press.
    24. Saniga, E. M. (1989), "Economic Statistical Control-Chart Designs With an Application to and R Chart", Technometrics, Vol. 31, No. 3, pp.313-320.
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    26. Torng, J. C.-C., Montgomery, D. C., and Cochran, J. K. (1994), "Economic Design of the EWMA Control Chart", Economic Quality Control, Vol. 9, No. 1, pp.3-23.
    Description: 碩士
    國立政治大學
    統計學系
    85354009
    Source URI: http://thesis.lib.nccu.edu.tw/record/#B2002001550
    Data Type: thesis
    Appears in Collections:[統計學系] 學位論文

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