(3.237.20.246) 您好!臺灣時間:2021/04/14 08:52
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:李智新
研究生(外文):Chih-Hsin Lee
論文名稱:供應鏈管理之品質管制圖建構研究-以廣泛加權移動平均管制圖為例
論文名稱(外文):A Study on the Quality Control Chart of Supply Chain Management - With Generally Weighted Moving Average Control Chart as an Example
指導教授:林澤杰
指導教授(外文):Tes-Chieh Lin
學位類別:碩士
校院名稱:佛光人文社會學院
系所名稱:管理學研究所
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2006
畢業學年度:94
語文別:英文
論文頁數:71
中文關鍵詞:六標準差廣泛加權移動平均管制圖平均連串長度
外文關鍵詞:Six-sigmagenerally weighted moving average control chart (GWMA control chart)Average run length (ARL)designsystem
相關次數:
  • 被引用被引用:0
  • 點閱點閱:497
  • 評分評分:系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔
  • 下載下載:162
  • 收藏至我的研究室書目清單書目收藏:1
ABSTRACT

Some companies recently became top enterprises by implementing Six-Sigma. Six-Sigma emphasizes teamwork and benchmarking, and combines most quality control and advance research results, enabling it to achieve a zero-defect level in business targets. This study primarily focuses on an application of six-sigma methodology to quality system, combined with an application to quality control, particularly using a control chart to implement quality items. This study using the GWMA control chart to detect small shifts in the process mean, while using a larger sample size to achieve more sensitive shift detection. Generally, the GWMA control chart can apply to beyond three sigma of the process quality level, and performs better in detecting small shifts in the process mean. The GWMA control chart is a good tool for analysis, improvement and control for businesses implementing six-sigma projects.

This study mainly focuses on an application by six-sigma methodology of supply chain system, including introduces strategies, operation process improvement and control. We combined with the application on quality control, especially using control charts to improve logistics quality. The major contribution of this study is to establish process on quality system improvement program and propose the suggestions of key performance index by DMAIC (Define, Measure, Analyze, Improve, and Control) steps. We use VBA (Visual Basic for Application) program to design the software of the related control skills to provide logistics quality control tools for the enterprises.
TABLE OF CONTENTS

ABSTRACT…I
TABLE OF CONTENTS…II
LIST OF FIGURE…IV
LIST OF TABLE…VII

CHAPTER 1 INTRODUCTION…1

1.1 Research Background and otivations…1
1.2 Research Objectives…2
1.3 Research scope…3
1.4 Research Process…4

CHAPTER 2 LITERATURE REVIEW…5
2.1 Quality and Quality Management…5
2.2 Sigma…9
2.3 DMAIC…11
2.4 Supply Chain Management…12
2.5 Control Chart…16
2.6 Visual Basic for Applications…19

CHAPTER 3 SIX-SIGMA ACTIVITIES OF SUPPLY CHAIN AND GWMA CONTROL CHART…20
3.1 Six-sigma Activities of SupplyChain…20
3.2 GWMA Control Chart for Monitoring Process Mean…28
3.3 ARL Performance…32
3.4 Example…48

CHAPTER 4 APPLICATION OF VBA TO GWMA CONTROL CHART…50
4.1 Important Features of the VBA…50
4.2 Design of GWMA Control Chart…55
4.3 GWMA Control Chart Software…56
4.4 User Guideline for the GWMA Control Chart…57
4.5 Example…59
4.5.1 GWMA Control Chart When n=1…59
4.5.2 GWMA Control Chart When n=2…61
4.5.3 GWMA Control Chart When n=3…63
4.5.4 GWMA Control Chart When n=4…65

CHAPTER 5 CONCLUSIONS…67
5.1 Conclusion…67

REFERENCES…69

LIST OF FIGURE
Fig. 1-1 Research Process…4
Fig. 2-1 The Four Levels in the Evolution of Quality Management…7
Fig. 2-2 DMAIC…11
Fig. 2-3 Quality Management Influence and Materials Flow Across Supply Chain…13
Fig.3-1 Balanced Scorecard Addresses Four Key Performance Aspects…23
Fig. 3-2 ARLs of the GWMA Control Chart with Control Limits Width L=2.50, q=0.50…42
Fig. 3-3 ARLs of the GWMA Control Chart with Control Limits Width L=2.50, q=0.75…43
Fig. 3-4 ARLs of the GWMA Control Chart with Control Limits Width L=2.50, q=0.80…43
Fig. 3-5 ARLs of the GWMA Control Chart with Control Limits Width L=2.50, q=0.90…43
Fig. 3-6 ARLs of the GWMA Control Chart with Control Limits Width L=2.75, q=0.50…44
Fig. 3-7 ARLs of the GWMA Control Chart with Control Limits Width L=2.75, q=0.75…44
Fig. 3-8 ARLs of the GWMA Control Chart with Control Limits Width L=2.75, q=0.80…44
Fig. 3-9 ARLs of the GWMA Control Chart with Control Limits Width L=2.75, q=0.90…45
Fig. 3-10 ARLs of the GWMA Control Chart with Control Limits Width L=3.00, q=0.50…45
Fig. 3-11 ARLs of the GWMA Control Chart with Control Limits Width L=3.00, q=0.75…45
Fig. 3-12 ARLs of the GWMA Control Chart with Control Limits Width L=3.00, q=0.80…46
Fig. 3-13 ARLs of the GWMA Control Chart with Control Limits Width L=3.00, q=0.90…46
Fig. 3-14 ARLs of the GWMA Control Chart with Control Limits Width L=3.25, q=0.50…46
Fig. 3-15 ARLs of the GWMA Control Chart with Control Limits Width L=3.25, q=0.75…47
Fig. 3-16 ARLs of the GWMA Control Chart with Control Limits Width L=3.25, q=0.80…47
Fig. 3-17 ARLs of the GWMA Control Chart with Control Limits Width L=3.25, q=0.90…47
Fig. 3-18 GWMA control scheme…49
Fig. 4-1 Visual Basic Editor…51
Fig. 4-2 Project Explorer Windows…51
Fig. 4-3 Properties Window…52
Fig. 4-4 Standard Toolbar…52
Fig. 4-5 Edit Toolbar…53
Fig. 4-6 Debug Toolbar…53
Fig. 4-7 Object Browsers…54
Fig. 4-8 GWMA Control Chart Buttons…56
Fig. 4-9 GWMA Control Chart Main Screen…57
Fig. 4-10 GWMA Control Button Function…58
Fig. 4-11 Data When n=1…59
Fig. 4-12 GWMA Control Chart When n=1…60
Fig. 4-13 Data When n=2…61
Fig. 4-14 GWMA Control Chart When n=2…62
Fig. 4-15 Data When n=3…63
Fig. 4-16 GWMA Control Chart When n=3…64
Fig. 4-17 Data When n=4…65
Fig. 4-18 GWMA Control Chart When n=4…66

LIST OF TABLE

Table 2-1 Summary of Quality Definition…5
Table 2-2 Definitions of TQM…6
Table 2-3 Contrasting Six-sigma and TQM…10
Table 2-4 Definition of SCM…14
Table 2-5 Advantages of VBA…19
Table 3-1 Supply Chain Management Stage…21
Table 3-2 Quality Indicators of Supply Chain…24
Table 3-3 DMAIC Steps on Supply Chain Management…25
Table 3-4 ARLs of the GWMA Control Chart with Control Limits Width L=2.50, q=0.50…34
Table 3-5 ARLs of the GWMA Control Chart with Control Limits Width L=2.50, q=0.75…34
Table 3-6 ARLs of the GWMA Control Chart with Control Limits Width L=2.50, q=0.80…35
Table 3-7 ARLs of the GWMA Control Chart with Control Limits Width L=2.50, q=0.90…35
Table 3-8 ARLs of the GWMA Control Chart with Control Limits Width L=2.75, q=0.50…36
Table 3-9 ARLs of the GWMA Control Chart with Control Limits Width L=2.75, q=0.75…36
Table 3-10 ARLs of the GWMA Control Chart with Control Limits Width L=2.75, q=0.80…37
Table 3-11 ARLs of the GWMA Control Chart with Control Limits Width L=2.75, q=0.90…37
Table 3-12 ARLs of the GWMA Control Chart with Control Limits Width L=3.00, q=0.50…38
Table 3-13 ARLs of the GWMA Control Chart with Control Limits Width L=3.00, q=0.75…38
Table 3-14 ARLs of the GWMA Control Chart with Control Limits Width L=3.00, q=0.80…39
Table 3-15 ARLs of the GWMA Control Chart with Control Limits Width L=3.00, q=0.90…39
Table 3-16 ARLs of the GWMA Control Chart with Control Limits Width L=3.25, q=0.50…40
Table 3-17 ARLs of the GWMA Control Chart with Control Limits Width L=3.25, q=0.75…40
Table 3-18 ARLs of the GWMA Control Chart with Control Limits Width L=3.25, q=0.80…41
Table 3-19 ARLs of the GWMA Control Chart with Control Limits Width L=3.25, q=0.90…41
Table 3-20 Transfer Time Measurements for Distribution Center…48
[1]Bamford, J., (1994). “Driving American to Tiers,” Financial World, 163(23), pp. 24-27.
[2]Banuelas, R., Antony, J., and Brace, M., (2005). “An Application of Six-sigma to Reduce Waste,” Quality and Reliability Engineering International, 21, pp. 552-570.
[3]Blakeslee Jr., and Jerome A., (1999). “Achieving Quantum Leaps in Quality and Competitiveness: Implementing the Six-sigma Solution in Your Company,” Annual Quality Congress Proceedings, pp. 486-496.
[4]Breyfogle, F., (1999a). Implementing Six-sigma: Part 1, The Quality Management Forum, summer, ASQ.
[5]Breyfogle, F., (1999b). Implementing Six-sigma: Part 2, The Quality Management Forum, fall, ASQ.
[6]Breyfogle F. W., and Meadows B., (2001). “Bottom-Line Success with Six-sigma,” Quality Progress, pp. 101-104.
[7]Chang, C., (1997). Optimal Quality Improvement Strategies under Quality Cost Considerations: A Dynamic Approach, New York University, Graduate School of Business Administration.
[8]Chan, L. Y., Xie, M., and Goh, T. N., (1997). “Two-Stage Control Charts for High Yield Processes, International Journal of Reliability, Quality and Safety Engineering, 4(2) , pp. 149-165.
[9]Davis, M., Acquilano, N., and Chase, R. (2003). Fundamentals of Operations Management. 4th Ed, New York: McGraw Hill.
[10]Dale, B. G., and Plunkett, J. J., (1995). Quality Costing, Chapman & Hall, 2nd ED.
[11]David, F. R., (1998). Competing through Supply Chain Management: Creating Market-Wining Strategies though Supply Chain Partnership. London: Chapman & Hall.
[12]Evans, J., and Lindsay, L. W., (1993). The Management and Control of Quality. 2nd Ed, New York: West Publishing.
[13]Flynn, B. B., Schroeder, R. G., and Sakakibara, S., (1994). “A Framework for Quality Management Research and an Associated Measurement Instrument,” Journal of Operation Management, pp. 339-366.
[14]Fleischer, M., (1996). “Supply Chain R Us,” Automotive Production, 108(1), pp. 14.
[15]Florida, R., and Kenney, M., (1991). “Transplanted Organization: The Transfer of Japanese Industrial Organization to the U.S,” American Sociological Review, 56, pp. 381-389.
[16]Garvin, D., (1984). “What Does Product Quality really mean?” Sloan Management Review, pp. 25-43.
[17]Hahn, G. J., Hill, W. J., Hoerl, R. W., and Zinkgraf, S., A., (1999). “The Impact of Six-sigma Improvement-A Glimpse into the Future of Statistics,” The American Statistician, 53(3), pp. 208-215.
[18]Harry, M., and Schroeder, R., (2000), Six-sigma. The Breakthrough Management Strategy Revolutionizing the World’s Top Corporations, New York, Doubleday.
[19]Hoerl, R. W., (2001). “Six Sigma Black Belts: What Do They Need to Know?” Journal of Quality Technology, 33(4), pp. 391-406.
[20]Kaplan and Norton D. P., (1996). The Balanced Scorecard: Translating Strategies into Action,” Harvard Business School Press.
[21]Lucier and Seshadri, (2001). “GE Takes Six-sigma beyond the Bottom Line,” Strategic Finance, 82(11), pp. 40-46.
[22]Lambert, D., and Cooper, M., (2000). “Issues in Supply Chain Management,” Industrial Marketing Management, 29, pp. 65-83.
[23]Lambert and Cooper, (2000). “Issues in Supply Chain Management,” Industrial Marketing Management, 29(1), pp. 72.
[24]Lee H. L., and Billington C., (1993). “Material Management in Decentralized Supply Chains,” Operations Research, 41(5), pp. 835-847.
[25]Lee and Chang, (2000). “Quality Management and Manufacturing Strategies in China,” The International of Quality and Reliability Management, 17(8), pp. 876-898.
[26]McFadden, F. R., (1993). Six-sigma Quality Programs. Quality Progress, 26(6), pp. 37-42.
[27]Mehra, S., Hoffman, J. M., and Sirias, D., (2001). “TQM as a Management Strategy for the Next Millennia,” International Journal of Operations & Production Management, 21(5/6), pp. 855-876.
[28]Maguire, M., (1999). “Cowboy Quality,” Quality Progress, 32 (10), pp. 27-34.
[29]Nakagawa, T., and Osaki, S., (1975). “The Discrete Weibull Distribution”, IEEE Transactions on Reliability, 24(5), pp. 300-301.
[30]Pande, P. S., Neuman, R. P., and Cavanagh, R. R., (2000). The Six-sigma Way, McGraw-Hill.
[31]Palevich, R. F., (1999). “Supply Chain Management,” Hospital Materiel Management Quarterly, 20(3), pp. 54-64.
[32]Ryan, T. P., (2000). Statistical Methods for Quality Improvement. 2nd Ed. Jhon Wiley & Sons.
[33]Snee, R. D., (1999). “Why Should Statisticians Pay Attention to Six Sigma?” Quality Progress, 32(9), pp. 100-103.
[34]Sheu, S. H., (1998). “A Generalized Age and Block Replacement of a System Subject to Shocks,” European Journal of Operational Research, 108, pp. 345-362.
[35]Sheu, S. H., (1999). “Extended Optimal Replacement Model for Deteriorating Systems,” European Journal of Operational Research, 112, pp. 503-519.
[36]Sheu, S. H., Lin, T. C., (2003), “The Generally Weighted Moving Average Control Chart for Detecting Small Shifts in the Process Mean,” Quality Engineering, 16(2), pp. 209-231.
[37]Steven, (1996). “What Is It?” Purchasing Today 4, pp. 4.
[38]Steven, G. C., (1989). “Integrating the Supply Chain,” International Journal of Physical Distribution and Logistics Management, 19(8), pp. 3-8.
[39]Stein, M. and Frank, V., “Macro Logistics Management,” St. Lucie Press.
[40]Thomas, Y. C., (1999). “Comparison of Quality Management Practices: Across the Supply Chain and Industries,” The Journal of Supply Chain Management, 35(1), pp. 20-27.
[41]Visual Basic for Applications, http://msdn.microsoft.com/vba/
[42]Weber, R. T., and Johnson, R. H., (1993). Buying and Supplying Quality, ASQC Quality Press.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
1. 吳武典、林繼盛(民74)。加強家庭聯繫對身童學習效果與家庭氣氛的影響。教育心理學報,18,97-116。
2. 吳武典、林繼盛(民71)。家庭與學校聯繫程度與兒童學業成就和生活適應之關係。教育心理學報,15,127-138。
3. 王連生(民86)。親師合作樂無窮-論親師溝通理念與技巧。班級經營,2(1),5-9。
4. 李鍾元(民84)。青少年與電動玩具初探。社會建設,91,57-79。
5. 王懿士(民90)。親師合作共創雙贏。特教園丁,16(3),9-14。
6. 王淑女(民85)。電動玩具與青少年偏差行為。犯罪學期刊,2,99-124。
7. 吳明隆(民87)。國小學童家庭結構、學業成就與偏差行為關係之研究。訓育研究,374,35-54。
8. 林明地(民85)。學校與社區關係:從家長參與與學校活動的理念談起。教育研究,51,30-40。
9. 林明地(民88)。家長參與學校教育的研究與實際:對教育改革的啟示。教育研究資訊雙月刊,7(2),61-79。
10. 林義男(民77)。國小學生家庭社經背景、父母參與及學業成就的關係。國立台灣教育學院輔導學報,11,95-141。
11. 林義男(民82)。國小學生家庭社經背景、父母參與及學業成就的關係。輔導學報,16,157-212。
12. 陳仕宗(民86)。溫馨的雙向溝通-談親師溝通。班級經營,2(1),15-20。
13. 黃文瑛(民65)。父母管教態度與國中學生人格特質關係之研究。思與言,14,54-65。
14. 黃立賢(民85)。青少年休閒教育面面觀。輔導通訊,46,13-17。
15. 黃靖媛(民89)。班親會之理論與實務。國教之友,51(4),23-28。
 
系統版面圖檔 系統版面圖檔