摘要(英) |
Automobile industry for technology and capital intensive industry, the industry chain is quite large, affects related industry is very wide, a car is made up of about thirty thousand parts, steel, plastic, rubber, glass, mechanical, electrical, electronic, services and other industries, and professional talents including r&d, manufacturing, purchasing, marketing, management, maintenance and other skills, and assemble a complete car industry, so the car industry is called "the locomotive industry".
Manufacturing has always challenged the limits of cost, efficiency and quality, which is one reason the CMM′s position is so entrenched. The CMM is currently the most accurate tool available, even as sensing technology enters the measuring equipment arena. Vendors are constantly innovating, creating many variants from the basic mobile bridging CMM to meet a wide variety of needs and assist customers in reducing costs. Despite the prevalence of automation, highly accurate machines for measuring large parts are still indispensable, so there is still room for bulky, manually operated CMM with triggering detection heads. Even simple manual CMM is still common, and small studios that measure a small number of parts at a time are particularly interested in this measurement device.
In this study, in order to enter the automotive market, D company, hindered by the requirements of customers and the insufficient capacity of measurement equipment, compared the advantages and disadvantages of measurement equipment through measurement system analysis (MSA), and further measured by investment evaluation decision to achieve the optimal choice. |
參考文獻 |
中文參考文獻
1. 鄭希龍,「檢測數據分析與管制作業」,量測資訊,第58期,第47-54頁,1997。
2. 鄭希龍,「量測系統分析(MSA)之作法與解析」,量測資訊,第77期,第54-60頁,2001。
3. 江巧玉,「量測系統重複性與再現性的分析研究」,國立成功大學統計學系,博士論文,2002。
4. 呂學輝,「企業導入TS16949:2002品質管理系統模式之實證研究-以電子業為例」,元智大學管理研究所,碩士論文,2005。
5. 方正中 等人,「量測重複性與再現性分析之研究」,第10屆科際整合管理研討會,2006。
6. 李妤莉,「量測重複性與再現性分析之研究」,南台科技大學工業管理研究所,碩士論文,2006。
7. 詹玉菁,「量測人員與產品無交互作用下之量測重複性與再現性分析」,南台科技大學工業管理研究所,碩士論文,2007。
8. 毛敬筌,「量測人員與產品有交互作用下之量測重複性與再現性研究」,南台科技大學工業管理研究所,碩士論文,2007。
9. 龔芳正,「量測系統之零件變異研究」,南台科技大學工管所,碩士論文, 2009年。
10. 林雨蓉,「應用量測系統分析於 LTPS量測機台差異之研究」,元智大學化學工程與材料科學系,碩士論文, 2009。
11. 謝新言,「利用 MSA分析晶圓半導體代工廠的量測系統-以 P公司為例」,中原大學工業與系統工程研究所,碩士論文, 2009。
12. 林增祺,「應用 MSA之 GRR手法評估量具校驗保養時機」,逢甲大學工業工程與系統管理學研究所,碩士論文, 2010。
13. 郭育菁,「車用鉛蓄電池回收再利用研究」,國立中央大學,碩士論文,2017。
14. AIAG,MSA量測系統分析 (第四版),品士機構代理發行,台北,2010。
英文參考文獻
1. AIAG(2002), "Measurement Systems Analysis" , Automotive Industry Action Editing Group.
2. Burdick, R. K. & Larsen, G. A. (1997), "Confidence Intervals on Measures of Variability in R&R Studies", Journal of Quality Technology, Vol.29, No.3, pp.261-273.
3. Burdick, R.K., Allen, A.E. and Larsen, G.A. (2002), "Comparing variability of two measurement processes using R&R studies", Journal of Quality Technology, Vol. 34, No. 1, pp. 97–105.
4. Dolezal, K. K. & Burdick, R. K. & Birch, N. J.(1998), "Analysis of a Two Factor R&R Study with Fixed Operators", Journal of Quality Technology, Vol.30, No.2, pp.163-170.
5. Daniels, L.& Burdick, R. K. (2005), "Confidence Intervals in a Gauge R&R Study with Fixed Operators", Journal of Quality Technology, Vol. 37, No. 3, pp. 179-185.
6. Fang, Jeng-Jung and Peng-Seng Wang (2005), "The Analysis of Gauge Repeatability and Reproducibility with Interaction between Operators and Parts", The Proceeding of the Fifth International Conference on Quality and Reliability (ICQR 2005), Bejin, pp. 209-216.
7. ITTNER, C. D. (1994). "An examination of the indirect productivity gains from quality improvement. "Production and Operations Management, 3(3), 153-170.
8. Kafuku, J. M.. (2015). "Investment decision issues from remanufacturing system
perspectiv e: literature review and further research." Procedia CIRP 26: 589-594.
9. Kono, H. (2012). "Safer zone analysis for multiple investment alternatives on the total-cost unit-cost domain." Industrial Engineering and Management Systems 11(1): 11-17.
10. Lupo, C. (2002), "ISO/TS 16949 the Clear Choice For Automotive Suppliers", Quality Progress, Vol. 35, No. 10, pp. 44-49.
11. Lyu, J. &. Chen, M. N. (2008), "Gauge Capability Studies for Attribute Data", Quality and Reliability Engineering International, Vol. 24, No. 1, pp. 71-82.
12. Mandel, J. (1972), "Repeatability and Reproducibility", Journal of Quality Technology, Vol. 4, No. 2, pp. 74-85.
13. Mandel, J. (1991), "The validation of measurement through interlaboratory studies", Chemo metrics and Intelligent Laboratory Systems, Vol. 11, pp. 109–119.
14. Mandel, J. (1997), "Repeatability and reproducibility for pass/fail data", Journal of Testing &Evaluation, Vol. 25, No. 2, pp. 151–153.
15. Montgomery, D. C. & Runger, G. C. (1993a), "Gauge Capability Analysis and Designed Experiments. Part I Basic Methods", Quality Engineering, Vol. 6, No. 1, pp. 115-135.
16. Morchower, N.D. (1999), "Two location Gauge Evaluation", Quality Progress, Vol.32, No. 4, pp. 79-86.
17. Porteus, E. L. (1985). "Investing in reduced setups in the EOQ model." Management Science 31(8): 998 1010.
18. Porteus, E. L. (1986). "Optimal lot sizing, process quality improvement and
setup cost reduction." Operations research 34(1): 137 144.
19. Reilly, F. (2004), "Accuracy, repeatability, reproducibility", Metal Finishing, Vol. 102, No. 5, pp. 8–9.
20. Reilly, F. (2007), "Understanding accuracy, repeatability and reproducibility", Metal Finishing, Vol. 105, No.10, pp. 537–538.
21. Sarkar, B. and I. Moon (2014). "Improved quality, setup cost reduction, and
variable backord er costs in an imperfect production process." International Journal of Production Economics 155: 204-213.
22. Stout, G. (1994), "Measurement Put to The Test", Quality, Vol. 33, No. 9, pp. 41-48.
23. Tsai, P. (1988), "Variable Gauge Repeatability and Reproducibility Study Using The Analysis Of Variance Method", Quality Engineering, Vol. 1, No. 1, pp. 107-115.
24. Tsou, J. and J. Chen (2005). "Dynamic model for a defective production system with Poka Yoke." Journal of the operational research society 56: 799-803.
25. Wang, F.K. and Eldon, Y.L. (2003), "Confidence intervals in repeatability and reproducibility using the Bootstrap method", Total Quality Management & Business Excellence, Vol. 14, No. 3, pp. 341-354.
26. Woodall, W.H. and Borror, C.M. (2008), "Some relationships between gage R&R criteria", Quality and Reliability Engineering International, Vol. 24, No. 1, pp. 99–106. |