跳到主要內容

臺灣博碩士論文加值系統

(54.83.119.159) 您好!臺灣時間:2022/01/17 09:28
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

: 
twitterline
研究生:陳水泉
研究生(外文):shui-chuan chen
論文名稱:單邊規格產品族製程能力指標
論文名稱(外文):One-sided Capability Indices of Product Family
指導教授:李榮貴李榮貴引用關係陳坤盛陳坤盛引用關係
指導教授(外文):R. K. LiK.S. Chen
學位類別:博士
校院名稱:國立交通大學
系所名稱:工業工程與管理系
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:2002
畢業學年度:90
語文別:中文
論文頁數:70
中文關鍵詞:品質特性規格上限製程良率製程能力指標產品族顏色管理
外文關鍵詞:quality characteristicColor Management Methodproduct familyupper specification limityieldProcess capability indices
相關次數:
  • 被引用被引用:8
  • 點閱點閱:1047
  • 評分評分:
  • 下載下載:190
  • 收藏至我的研究室書目清單書目收藏:3
摘要
製程能力指標是評估產品製程品質與績效的方便且好用的工具,但目前大部分指標皆用於評估單一產品項的製程能力,而在實際的產業裡,每一種產品通常會有數種不同的型號,型號不同其規格也有所不同,在此統稱這些不同型號的產品為產品族。評估整廠產品族的製程能力是績效管理中制定品質目標的重要效標,同時也是產品安全規範的認證中所要求的重點。而在過去產業界是以最大產量的產品項之製程能力指標值來代表整廠製程能力指標值,這在多量少樣的生產模式下是可以被接受的。但若是在少量多樣的生產模式下則會缺乏代表性及客觀性,另外若以單一產品項作製程能力評估,只能看到各產品項製程能力指標值而缺乏具代表性的整廠製程能力指標值,因此造成業務顧客間或是工程製造部門間的溝通不便。而目前產品及製程設計是以模組化及群組化來實施,但若以單一產品項來評量其製程能力,則會使得整個製造系統缺乏相容性及整合性。因此為了簡化評量方法提昇管理的便利有效性及製造系統的相容整合性,應發展一套客觀的評估方法來評估整體產品族之製程能力。
本論文針對單邊規格產品族在全檢及抽檢的模式下,各提出一套製程能力的評估方法及改善程序。在研究流程方面首先定義研究動機、目的及架構並針對製程能力指標的沿革做回顧及分類。接下來探討單邊規格製程能力指標值與良率之關係並以良率的基礎,定義出一個可以反應整體良率的產品族製程能力指標。然後探討在全檢及抽檢模式下,以現有的製程能力指標為基礎,提出一套評估單邊規格產品族製程能力的方法與程序,同時針對望小型產品族的電容器損失角及汽車出廠廢氣檢驗作為全檢及抽檢模式下的實例探討。最後運用顏色管理及統計檢定的客觀方法,分別建立評核表以排定改善的優先順序,進而以重點管理模式來提昇整體產品族的製程能力。
Abstract
Process capability indices are widely used as a flexible tool to evaluate the quality and performance of a process. However, most of the existing indices were applied only to a single item or product. This is usually not the case in manufacturing industry where products of different models and specifications were produced as a product family. Therefore, accreditation by the product safe regulations requires an agent to conduct a global evaluation on the process capability over the entire product family from a plant. In the past, the capability index of the process associated with the item of the largest amount was used as the process capability index for the whole plant. This is acceptable under the condition of large quantity and few varieties. However, this scheme may not be good in being representative and objective for cases associated with small quantity and large varieties. Furthermore, the capability index for a single product can only reflect the quality of a process and cannot be a representative to the capability of the whole plant. This will also result in mal-communication among customers and manufacturing departments. It is also noted that modularization is getting used in process design. Therefore using the capability index of a single process to evaluating the whole manufacturing system will be lack of compatibility and integrity. Thus new and objective methods should be developed to evaluate the capability of a whole process family.
In this paper, a new method and an improved procedure will be proposed to evaluate process families of the one-sided specification type in the complete-inspection and the random-inspection modes. The motivation, the objective, and literature review of this research will first be introduced. The relationship between the one-sided capability indices and the yields will be discussed. A new index and evaluation procedure, which can reflect the global yield of a product family, will then be defined. Examples in capacitor loss corner and exhaust exam in car industry will be then discussed. Finally the Color Management method and statistical technology will be adopted to establish the exam table so that the priority for improvement can be determined and the capability of the whole process family can be enhanced
內容目錄
page
摘要(中文)………………………………………………………………….… i
摘要(英文)……………………………………………………………….…. iii
致謝.……………………………………….……………………………………v
內容目錄………………………………………………………………………. vi
圖目錄………………………………………….………………………………viii
表目錄………………………………………….……………………………..…ix符號說明……………………………………….………………………………. x
第一章 緒論…………………………………………………………….…….… 1
1.1研究背景、動機及限制………………….…………………….… 1
1.2 研究目的…………………….…………………………………… 3
1.3研究流程………………………….………………………….…… 5
第二章 文獻回顧……………………………………………….…………….… 6
2.1 製程能力指標介紹………………………………………………. 6
2.2製程能力指標分類……………….………………..………….… 15
第三章 單邊規格產品族製程能力與良率關係及評量方法 …….….……… 30
3.1 產品族製程能力指標定義….………………………………...... 30
3.2 製程能力指標與良率之關係………………….……………..….32
3.3 全檢模式下產品族製程能力的評量方法………………………34
3.4 抽檢模式下產品族製程能力的評估方法….....……………..… 36
第四章 全檢模式下實例探討 — 以望小型產品族為例………….……….… 41
4.1電容器產品族的品質特性.……………………..…………….… 41
4.2電容器產品族製程能力指標與良率..…………………..……… 44
4.3電容器產品族之製程能力的評估方法..………………..……… 46
4.4實例評估……………………..………………………..………… 47
4.5實例結論……………………..………………………..………….51
第五章 抽檢模式下實例探討 — 以望小型產品族為例……………….…… 52
5.1新車產品族廢氣檢驗的品質特性及指標.……………..…….… 52
5.2新車產品族廢氣檢驗的指標估計…………..………………..… 53
5.3實例評估……………………..………………………..………… 55
5.4實例結論……………………..………………………..………… 59
第六章 結論…………..…………………………………………………….…. 60
參考文獻……………..………….………………………………………….…. 62
圖目錄
page
圖1.1研究架構圖…………………………………………………………….…5
圖2.1製程能力指標類型圖…………………………………………………...20圖2.2製程能力應用類型圖…………………………………………………...29圖3.1製程能力指標值Cpu與良率關係圖 ………………………………...…33
表目錄
page
表2.1:各項品質特性之製程能力指標彙總表….…………………………….13
表2.2:單變量製程能力指標類型表…………………………….………….….21
表2.3:製程能力相關文獻沿革分類表…………………………………….….21
表2.4:製程能力應用類型表……………………………………………….….29
表3.1:望小型產品族所對應的產品良率表…………………………….……31
表3.2:CI = 1/3到2.0時對應之產品良率 p%表………………….……….....32
表3.3:製程能力指標Cpu值與良率關係對照表………………….……….....33
表3.4:產品族各項產品所對應的產品品質指標表………….………..……..34
表3.5:製程能力指標值與其所對應的品質狀況和燈號表………….………35
表3.6:各種 n 值所對應的bn 值表…….…….………………………………38
表3.7:k項產品品質特性之製程績效評估查檢表………….……………….40
表4.1:電容器損失角規格上限標準表………….……………………………42
表4.2:電容量、耐壓電及其所對應的規格符號表………….………………43
表4.3:各種耐壓電和電容量及其所對應的產品品質指標表………….……44
表4.4:各種耐壓電和電容量及其所對應的產品良率表………….…………45
表4.5:產品製程能力及產量加權數表………….……………………………49
表4.6:異常燈號產品加權表………….………………………………………50
表5.1: 七種型號之規格、平均數、標準差以及指標值表………….………..53
表5.2: k種型號產品品質特性規格、隨機樣本與所使用的指標與估計式表 …..………….………..………….………..………….………..….. 54
表5.3:製程能力值轉化為P-value值的相關表(n =30)…………………….57
表5.4:七種型號汽車產品的製程績效評估查檢表(改善前)………….…..58
表5.5:七種型號汽車產品的製程績效評估查檢表(改善後)….………..….58
參考文獻
1. 王福琨,陳欽雨“以複式抽樣法建立多變量製程能力指標值之信賴區間”,中國工業工程學刊,15(5), 429-438. (1998).
2. 莊明國 ”企業顏色管理” 前程企業管理公司(第七版 1992.6)
3. Beck, C. and Ester, S. “ Multicriteria Capability Indexes”. Spektrum 24, pp 179-187 (1998).
4. Bernardo, J.M. and Irony, T.Z. “A general multivariate Bayesian process capability index”. Royal Statistical Society — The Statistician 45(3), pp487-502. (1996) .
5. Bissell, A.F. “How reliable is your capability index? ” Applied Statistics 39, 331-340. (1990).
6. Bothe, D. R., “A Capability Study for An Entire Product”, ASQC Quality Congress Transactions. pp72-178, (1992).
7. Boyles, R. A, “The Taguchi capability index”, Journal of Quality Technology, 23(1), pp17-26., (1991).
8. Boyles, R. A., “Process capability with asymmetric tolerances”, Communications in Statistics: Computation & Simulation, 23(3), pp615-643, (1994) .
9. Boyles, R.A. “Multivariate process analysis with Lattice data”. Technometrics 38(1), pp37-49. (1996)
10. Castagliola, P. “Evaluation of non-normal process capability indices using Burr’s distributions”. Quality Engineering, 8(4), pp 587-593. (1996).
11. Chan, L. K., Cheng, S. W. and Spiring, F. A, “A new measure of process capability Cpm”, Journal of Quality Technology, 20(3), pp162-175., (1988).
12. Chan, L. K. ; Cheng, S. W. and Spiring, F. A. “A Multivariate Measure of Process Capability ”. International Journal of Modeling and Simulation 11, pp1-6(1991).
13. Charbonneau, H..C. and Webster, G. L. “Industrial Quality Control ,Prentice Hall, Engle wood Cliffs, New Jwesey”,(1978)
14. Chen, H. “A multivariate process capability index over a rectangular solid tolerance zone”. Statistica Sinica, 4, pp749-758 (1994).
15. Chen, H., and Kotz, S. “An asymptotic distribution of Wright’s process capability index sensitive to skewness ”. J. Statist. Comput. Simul., 55, pp 147-158. (1996).
16. Chen, K. S. “A Incapability index with asymmetric tolerances”, Communication Statistics Sinica, 8(1), pp253-262, (1997).
17. Chen, K.S. and Pearn, W.L. “An application of non-normal process capability indices”. Quality and Reliability Engineering International, 13, pp355-360. (1997).
18. Chen, K.S. “Incapability index with asymmetric tolerances”. Statistica Sinica, 8, pp 253-262. (1998).
19. Chen, K.S. “Estimation of the process incapability index”. Commun. Statist.-Theory Meth., 27(5), pp 1263-1274. (1998).
20. Chen, S. M. and Hsu, N. F. “The asymptotic distribution of the process capability index : Cpmk”. Commun. Statist.-Theory Meth., 24(5), pp 1279-1291. (1995).
21. Cheng, S. W. and Spiring, F. A. “Assessing process capability: a Bayesian approach. ”IIE Transactions, 21(1), pp 97-98. (1989).
22. Cheng, S. W. “Is the process capable? Tables and graphs in assessing Cpm. ”Quality Engineering, 4(4), pp 563-576. (1992).
23. Cheng, S. W. “Practical implementation of the process capability indices.” Quality Engineering, 7(2), pp 239-259 (1994).
24. Clemments,J.A. “Process capability calculations for non-normal distributions. ” Quality Progress, September , pp 95-100. (1989).
25. Choi, B. C. and Owen, D. B., “A study of a new capability index”, Communications in Statistics: Theory and Methods, 19, pp1231-1245, (1990).
26. Chou, Y.M. ; Owen, D.B., and Borego A.S.A. “Lower confidence limits on process capability indices. ” Journal of Quality Technology, 22, pp223-229. (1990).
27. Chou, Y.M. “Selecting a better supplier by testing process capability indices. ” Quality Engineering, 6(3), pp427-438. (1994).
28. Chou, Y. M., Polansky, A. M., and Mason, R. L. “Transforming non-normal data to normality in statistical process control.” Journal of Quality Technology, 30(2), pp 133-141. (1998).
29. Davis, R. and Kaminsky , F. C. and Saboo, S. “Process Capability Analysis for Process With Either a Circular or a Spherical Tolerance”. Quality engineering. 5,pp.41-54 (1992).
30. English, J. R. and Taylor, G. D. “Process capability analysis --- a robustness study. ” International Journal of Production Research, 31(9), pp1621-1635. (1993).
31. El-Awady, K., Schaper, C., and Kailath, T. “Improvements in Cpk using real-time feedback control”. IEEE Transactions on Semiconductor manufacturing, 9(1), pp 87-94. (1996)
32. Flaig, J. J. “A new approach to process capability analysis. ” Quality Engineering, 9(2), pp 205-211. (1996).
33. Franklin, L. A. and Wasserman, G. S. “Bootstrap lower confidence limits for capability indices. ”Journal of Quality Technology, 24(4), pp158-172. (1992).
34. Franklin, L. A. and Wasserman, G. S. “ A note on the conservative nature of the tables of lower confidence limits for Cpk with a suggested correction. ” Communications in Statistics—Simulation and Computation, 21(4), pp1165-1169. (1992).
35. Greenwich, M. and Jahr-Schaffrath, B.L. “A process incapability index. ” International Journal of Quality & Reliability Management, 12(4), pp58-71. (1995).
36. Gruner,G. “Calculation of Cpk under conditions of variable tolerances. ”Quality Engineering, 3(3), pp281-291. (1991).
37. H. Schneider, J. Pruett and C. Lagrange, “Use of process capability indices in the supplier certification process.” Quality Engineering, 8(2), pp255-235 (1995).
38. Hellmich, M. and Wolff ,H “A new Approach for Describing and Controlling process Capability for a Multivariate Process”. Proceedings of the SAS Section Quality and Productivity, pp. 44-48(1996).
39. Huang, D.Y. and Lee, R.F. “Selecting the largest capability index from several quality control processes”. Journal of Statistical Planning and Inference 46, pp 335-346. (1995).
40. Hubele, N. F.; Shahriari, H. and Cheng, C. S. “A Bivariate Process Capability Vector ”. in Statistical Process Control in Manufacturing Edited by J. B. Keats and D.C. Montgomery. Marcel Dekker, New York, NY, pp.299-330. (1991).
41. Johnson, T. “The relationship of Cpm to squared error loss. ” Journal of Quality Technology 24(4), pp211-215. (1992).
42. Juran Institute, Inc. “The tools of quality. Part 4: histograms. ”Quality Progress, September, pp75-78. (1990).
43. Kane, V. E., “Process Capability Indices”, Journal of Quality Technology , Vol. 18, No. 1, pp41-52, (1986).
44. Karl, D. P.; Morisette, J. and Taams, W. “Some Applications of a Multivariate Capability Index in Geometric Dimensioning and Tolerancing”. Quality Engineering 6, pp.649-665.(1994).
45. Li, Y. and Lin, C. “Multivariate Cp Value”. Chinese Journal of Applied Probability and Statistics 12, pp.132-138(1996).
46. Montgomery.D.C. “Introduction to Statistical Quality Control” New York: John Wiley&Suns,Ins. (1991).
47. Mukherjee, S. P. and Singh, N. K. “Sampling properties of an estimator of a new process capability index for Weibull distributed quality characteristics”. Quality Engineering, 10(2), pp 291-294. (1997).
48. Pearn, W. L., and Kotz, S., and Johnson, N. L., “Distributional and Inferential Properties of Process Capability Indices”, J. Quality Technology, 24(4), pp216-231, (1992).
49. Pearn, W. L. , Kotz, S., and Johnson, N. L., “application of clements,method for calculating second and rhird generation process capability undices for non-normal pearsonian populations.”, Quality Engineer, 7(1), pp139-145, (1994).
50. Pearn, W. L., and Chen, K. S. “Estimating process capability indices for non-normal Pearsonian populations”. Quality and Reliability Engineering International. 11(5), pp 386-388 (1995).
51. Pearn, W. L., and Chen, K. S. “Capability indices for non-normal distributions with an application in electrolytic capacitor manufacturing. ” Microelectron. Reliab., 37(12), pp1853-1858. (1997)
52. Pearn, W. L., and Chen, K. S. “ A practical implementation of the process capability index Cpk. ” Quality Engineer, 9, pp721-737, (1997).
53. Pearn, W. L.; Yang, S. L.; Chen, K. S. and Lin, P. C. “Testing Process Capability Using The Index Cpmk with an Application.” International Journal of Reliability,Quality and Safety Engineering., Vol. 8, No.1, pp15-34. (2001)
54. Rado, L.G. “Enhance product development by using capability indices. ” Quality Progress, 22(4), pp38-41. (1989).
55. Rodriguez, R. N. “Recent developments in process capability analysis. ” Journal of Quality Technology 24(4), pp176-187. (1992).
56. Samuel, Kotz and Norman L. Johnson “Process Capability Indices - Areview,1992-2000” Journal of Quality Technology vol. 34,No.1,January 2002(2002)
57. Schneider, H., Pruett, J., and Lagrange, C. (1995). “Uses of process capability indices in the supplier certification process”. Quality Engineering, 8(2), pp 225-235.
58. Shahriari, H. ; Hubele, N. F. and Lawrence, F. P. “A Multivariate Process Capability Vector”. Proceedings of the 4th Industrial Engineering Research Conference, Nashville, TN, pp. 303-308(1995).
59. Shore, H. “Process capability analysis when data are autocorrelated”. Quality Engineering, 9(4), pp 615-626. (1997).
60. Shore, H. “A new approach to analyzing non-normal quality data with application to process capability analysis”. International Journal of Production Research, 36(7), pp 1917-1933. (1998).
61. Singhal, S. C, “Multi-process Performance Analysis Chart (MPPAC) with Capability Zones”, Quality of Engineering, 4(1), pp75-81., (1991).
62. Spiring, F.A. and Yeung, A.Y. “A general class of loss functions with industrial applications”. Journal of Quality Technology, 30(2), pp152-162. (1998).
63. Taam, W. ; Subbaiah, P. and Liddy, J. W. “A Note on multivariate Capability Indices”. Journal of Applied Statistics 20, pp.339-351.(1993).
64. Tang, P. F. and Barnett, N. S. “Capability Indices for Multivariate Process”. Technical report, Division of Computation, Mathematics and Science, Victoria University Melbourne Australia. (1998).
65. Vännman, K. “A unified approach to capability indices”. Statistica Sinica 5, pp 805-820. (1995).
66. Veevers, A. “A Capability Index for Multiple Response”. CSIRO Mathematics and statistics Report DMS-095 Australia.(1995).
67. Veevers, A. “Viability and Capability Indices for Multiresponse Process”. Journal of Applied Statistics 25, pp545-558.(1998).
68. Veevers, A. “Capability Indices For Multiresponse Process”. in Statistical Process Monitoring and Optimization edited by S. H. Park and G. G. Vining, Marcel-Dekker, New York, NY pp.241-256.(1999).
69. Wang, F. K. ; Hubele, N. F. ; Laweence, F. P. ; Miskulin, J. O. ;and Shariare, H. “Comparison of Three Multivariate Process Capability Indices”. Journal of Quality Technology 32,pp. pp263-275.(2000).
70. Wierda, S. J. “Multivariate Quality Control Estimation of the percentage of Good Product”. Technical Repot, University of Groningen, Netherlands.(1992).
71. Wierda, S. J. “A Multivariate Process Capability Index” Transactions of the ASQC Quality Congress, pp. 342-348.(1993).
72. Wierda, S. J. “Multivariate Statistical Process Control-Recent Results and Directions for Future Research”. Statistica Neerlandica 48, pp.147-168(1994).
73. Wright, P.A. “A process capability index sensitive to skewness”. J. Statist. Comput. Simul., 52, pp 195-203. (1995).
74. Wright, P.A. “The probability density function of process capability index Cpmk”. Commun. Statist.-Theory Meth., 27(7), pp 1781-1789. (1998).
75. Yeh, A. B. and Chen, H. “A Nonparametric Multivariate Process Capability Index”. Preprint.(1999).
76. Zhang, N. F., Stenback, G. A. and Wardrop, D. M. “Interval estimation of process capability index Cpk.” Commun. Statist.-Theory Meth., 19, pp4455-4470. (1990).
77. Zwick, D “A hybrid method for fitting distributions to data and its use in computing process capability indices”. Quality Engineering, 7(3), pp 601-613. . (1995).
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top