跳到主要內容

臺灣博碩士論文加值系統

(34.226.244.254) 您好!臺灣時間:2021/08/01 03:59
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:孟美斌
研究生(外文):Mei-pin Meng
論文名稱:多變量製程能力指標之探討與應用
論文名稱(外文):Study of Multivariate Process Capability Indices
指導教授:童超塵童超塵引用關係
指導教授(外文):Chau-Chen Torng
學位類別:碩士
校院名稱:國立雲林科技大學
系所名稱:工業工程與管理研究所碩士班
學門:工程學門
學類:工業工程學類
論文種類:學術論文
論文出版年:2004
畢業學年度:92
語文別:中文
論文頁數:51
中文關鍵詞:多變量製程能力指標
外文關鍵詞:multivariateprocess capability index
相關次數:
  • 被引用被引用:3
  • 點閱點閱:250
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
製程能力分析是統計製程控制的一個重要部分,常以一些製程能力指標(Process Capability Index, PCI)來表示製程符合產品規格之能力,由Juran在1974年提出製程能力指標最初的概念。近幾年由於製程不斷地複雜化,因此有多變量製程管制的產生,包括以多變量統計製程管制圖與多變量製程能力指標來衡量多重品質特性的製程能力。
一般製程能力指標可依品質特性與應用類型的不同來區分,本研究著重於多變量指標及探討比較各項指標特性與應用上。首先針對1991-2003年間各學者所提出的多變量製程能力指標,做一回顧與整理,再針對其中六種多變量製程能力指標進行探討,透過模擬求得指標的一般化結果,發現 指標不如預期,並無法正確判斷製程能力。而製程區域比的指標,因製程區域的算法不同,導致指標值有所差異,但整體而言比較能夠準確評估出製程能力,其中 指標較穩健,不似 指標容易高估製程能力,但是 指標的計算上較麻煩。若使用者不在乎製程是否偏離目標值,只要了解製程是否符合規格,則可選擇計算容易的 與 指標。希望透過本研究能夠讓業界依個別需要實際進行多變量指標的測量,以掌握製程的品質狀況,使製程能力達到規格要求的標準,確保品質並預防不良品的產生。
Process capability analysis is an important section of statistic process control. It is often indicated a capability that the manufacture process conforms the product’s specification by some process capability indices. The initial concept of process capability index was presented by Juran in 1974. Multivariate process control resulted from the process is complex continuously. It involved to use multivariate process control charts and multivariate process capability indices to measure the process capability of multi-quality characters.
We can distinguish the quality characters and applicative type from the process capability indices. This study emphasized multivariate process capability indices and conferred on the characters and applications of capability indices. First, we arranged and reviewed the multivariate process capability indices scholars presented from 1991 to 2003. Then we conferred on six multivariate process capability indices and received the general results of capability indices by simulation. We found that can’t judge the process capability correctly. The indices of process region ratio had difference as the different methods calculate the process region. In general, the indices of process region ratio can estimate the process capability accurately. is steadier than because is easy to over-estimate the process capability. But has a complex calculation. If the practicers want to know the process conform to the specification and don’t care the process deviated the target, they can choose the indices that and are easy to calculate. Hopefully, this study can offer the company to perform multivariate process capability indices measurement. They can handle the quality situation of process and receive the standard of specification to assume the products quality and prevent the inconformity.
中文摘要………………………………………………………….……………..............i
英文摘要………………………………….…………………….………………………ii
誌謝…………………………………………………………………………………….iii
目錄……………………………….……………………………………………………iv
表目錄…………………………………………………………………………….…….v
圖目錄…………………………………………………………………………….……vi
第一章 緒論………………………………………………………………………...…1
1.1 研究背景與動機………………………………………………………..1
1.2 研究目的………………………………………………………………..1
1.3 研究架構………………………………………..………………………2
第二章 文獻回顧……………………………………………………………………...4
2.1 多變量製程能力指標的意義…………………………………………..5
2.2 計算容差區與製程區的比率之指標…………………………………..6
2.2.1 類似 的多變量製程能力指標..………………………………6
2.2.2 類似 的多變量製程能力指標……………………………….9
2.2.3 類似 的多變量製程能力指標……………………………..10
2.3 以不良率計算的多變量製程能力指標………………………………14
2.4 向量值的多變量製程能力指標………………………………………15
2.5 其他多變量製程能力指標……………………………………………17
第三章 多變量製程能力指標之衡量與比較……………………………………….25
3.1 多變量能力指標之衡量………………………………………………25
3.2 多變量能力指標之比較………………………………………………27
第四章 多變量製程能力指標之模擬與應用.………………………………………30
4.1 二變量製程模擬……………………………………………………....30
4.2 多變量製程能力指標之應用………………………………………....36
4.3 綜合討論……………………………………………………………....42
第五章 結論與建議………………………………………………………………….44
參考文獻……………………………………………………………………………….46
附錄一………………………………………………………………………………….50
附錄二………………………………………………………………………………….51
1. Alwan, L. C., 2000, Statistical Process Analysis, 1st ed., McGraw-Hill Book Co.
2. Boyles Russell A., 1994, “Process capability with asymmetric tolerances”, Communication Statistic-Simulation, Vol. 23, No. 3, pp. 615-643.
3. Boyles Russell A., 1996, “Multivariate process analysis with lattice data”, Technometrics, Vol. 38, No. 1, pp. 37-49.
4. Bernardo J. M. and T. Z. Irony, 1996, “A general multivariate Bayesian process capability index”, The Statistician, Vol. 45, No. 3, pp. 487-502.
5. Bothe Davis R., 1999, “A Capability Index For Multiple Process Streams”, Quality Engineering, Vol. 11, No. 4, pp. 613-618.
6. Bothe Davis R., 1999-2000, “Composite Capability Index for Multiple Product Characteristics”, Quality Engineering, Vol. 12, No. 2, pp. 253-258.
7. Chan L.K., S.W. Cheng and F.A. Spiring, 1988, “A New Measure of Process Capability: ”, Journal of Quality Technology, Vol. 20, No. 3, pp. 162-175.
8. Chan L.K., S.W. Cheng and F.A. Spiring, 1991, “A Multivariate Measure of Process Capability”, International Journal of Modelling and Simulation, Vol. 11, No. 1, pp.1-6.
9. Clements John A., 1989, “Process capability calculations for non-normal distributions”, Quality Progress, pp. 95-100.
10. Chen Hanfeng, 1994, “A multivariate capability index over a rectangular solid tolerance zone”, Statistica Sinica, Vol. 4, pp. 749-758.
11. Castagliola Philippe, 1996, “Evaluation of non-normal process capability indices using Burr’s distributions”, Quality Engineering, Vol. 8, No. 4, pp. 587-593.
12. Chen K. S., W. L. Pearn and P. C. Lin, 2003, “Capability Measures for Processes with Multiple Characteristics”, Quality and Reliability Engineering International, Vol. 9, pp. 101-110.
13. Davis R. D., F. C. Kaminsky and Sandeep Saboo, 1992-93, “Process Capability Analysis For Processes With Either A Circular Or A Spherical Tolerance Zone”, Quality Engineering, Vol. 5, No. 1, pp. 41-54.
14. Farnum Nicholas R., 1996, “Using Johnson Curves to Describe Non-normal Process Data”, Quality Engineering, Vol. 9, No. 2, pp. 329-336.
15. Hubele N. F., H. Shahriari, and C. S. Cheng, 1991, “A Bivariate Process Capability Vector, in Statistics and Design in Process Control,” Statistical process Control in Manufacturing edited by J. B. Keats, and D. C. Montgomery. Marcel Dekker, New York, NY., pp. 299-310.
16. Juran J.M., 1988, Juran''s quality control handbook, McGraw-Hill, New York.
17. Kane Victor E., 1986, “Process Capability Indices”, Journal of Quality Technology, Vol. 18, No. 1, pp. 41-52.
18. Kocherlackota Subrahmaniam and Kathleen Kocherlakota, 1991, “Process Capability Index: Bivariate Normal Distribution”, Communication Statistic–
Theory and Method, Vol. 20, No. 4, pp. 2529-2547.
19. Karl D. P., J. Morisette, and W. Taam, 1994, “Some Applications of A Multivariate Capability Index in Geometric Dimensioning and Tolerancing”, Quality Engineering, Vol. 6, No. 4, pp. 649-665.
20. Kaminsky Frank C., Robert A. Dovich, and Richard J. Burke, 1998, “Process Capability indices: Now And In The Future”, Quality Engineering, Vol. 10, No. 3, pp. 445-453.
21. Kotz Samuel and Norman L. Johnson, 1993, Process Capability Indices, Chapman & Hall
22. Kotz Samuel and C. R. Lovelace, 1998, Process Capability Indices in Theory
and Practice, Arnold
23. Kotz Samuel and Norman L. Johnson, 2002, “Process Capability Indices-A Review, 1992-2000”, Journal of quality Technology, Vol. 34, No. 1, pp. 2-19.
24. Montgomery, Douglas C., 1991, Introduction to statistical quality control, Wiley
25. Niverthi Murali and Dipak K. Dey, 2000, “Multivariate Process Capability A Bayesian Perspective”, Communications in Statistics: Simulation and Computation, Vol. 29, pp. 667-687.
26. Pearn W. L., Samuel Kotz and Norman L. Johnson, 1992, “Distributional and Inferential Properties of Process Capability Indices”, Journal of Quality Technology, Vol. 24, No. 4, pp.216-231.
27. Pearn W. L. and K. S. Chen, 1997, “Multiprocess Performance Analysis A Case Study”, Quality Engineering, Vol. 10, No. 1, pp. 1-8.
28. Parlar Mahmut and George O. Wesolowsky, 1999, “Specification Limits, Capability Indices, and Process Centering in Assembly Manufacture”, Journal of Quality Technology, Vol. 31, pp. 317-325.
29. Somerville S. E. and D. C. Montgomery, 1996, “Process Capability Indices and Non-normal Distributions”, Quality Engineering, Vol. 9, No. 2, pp. 305-316.
30. Tong, Y. L., 1990, The Multivariate Normal Distribution, Springer-Verlag.
31. Taam Winson, Perla Subbaiah and James W. Liddy, 1993, “A note on multivariate capability indices”, Journal of Applied Statistics, Vol. 20, No. 3, pp. 339-351.
32. Veevers Alan, 1998, “Viability and capability indexes for multiresponse processes”, Journal of Applied Statistics, Vol. 25, No. 4, pp. 545-558.
33. Wierda S. J., 1994, “Multivariate statistical process control – recent results and directions for future research”, Statistica Neerlandica, Vol. 48, No. 2, pp. 147-168.
34. Wang F. K. and Norma F. Hubele, 1999, “Quality Evaluation Using Geometric distance Approach”, International Journal of Reliability, Quality and Safety Engineering, Vol. 6, No.2, pp. 139-153.
35. Wang F. K. et al., 2000, “Comparison of Three multivariate Process Capability Indices”, Journal of Quality Technology, Vol. 32, No. 3, pp. 263-275.
36. Wang F. K. and Du T.C.T., 2000, “Using principal component analysis in process performance for multivariate data”, Omega, Vol. 28, pp. 185-194.
37. Wang F. K. and Norma F. Hubele, 2001, “Quality Evaluation of Geometric Tolerance Regions in Form and Location”, Quality Engineering, Vol. 14, No.2, pp. 205-211.
38. Woodall William H., 2000, “Controversies and Contradictions in Statistical Process Control”, Journal of Quality Technology, Vol. 32, No. 4, pp. 341-348.

39. Woodall William H. and Montgomery Douglas C., 1999, “Research Issues and Ideas in Statistical Process Control”, Journal of Quality Technology, Vol. 31, No. 4, pp. 376-385.
40. Yeh A. B. and H. Chen, 2001, “A Nonparametric Multivariate Process Capability Index”, International Journal of Modeling and Simulation, Vol. 21, No. 3, pp. 218-223.
41. 李仁凱,2001,多重品質特性下製程能力標之比較研究,成功大學統計學研究所,碩士論文。
42. 吳書宇,2002,多變量製程能力指標符合信賴度信賴下限要求之抽樣數模式建構,雲林科技大學工業工程管理研究所,碩士論文。
43. 高啟裕,2003,在規格不對稱下製程能力指標之研究,雲林科技大學工業工程管理研究所,碩士論文。
44. 陳坤盛,1997,“一個適用於非對稱規格區間的新製程能力指標”,工業工程學刊,14卷,4期,頁355-362。
45. 陳水泉,2002,單邊規格產品族製程能力指標,交通大學工業工程管理研究所,博士論文。
46. 張政勛,2000,少量多樣生產型態之製程能力求算之研究,雲林科技大學工業工程管理研究所,碩士論文。
47. 潘浙楠、吳淑鈴,1996,“非常態資料製程能力指標之研究”,品質學報, 2卷,2期,頁79-97。
48. 鄭春生,2000,品質管理,育友圖書有限公司,台北。
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top