5 Project Team D M A I Champion

5. Project Team 구성 D M A I Champion 스폰서 MBB Black Belt 기경팀 기술팀 PJT팀 구매팀 C

6. FMEA D M A I C

5. TEST of Analysis (X 2) D M A I C

6. TEST of Analysis (X 2) D M A I C Two-Sample T-Test and CI: SCH 1, SCH 2 Two-sample T for SCH 1 vs SCH 2 N Mean St. Dev SE Mean SCH 1 10 5. 70 1. 89 0. 60 SCH 2 10 4. 20 1. 48 0. 47 Difference = mu SCH 1 - mu SCH 2 Estimate for difference: 1. 500 95% CI for difference: (-0. 099, 3. 099) T-Test of difference = 0 ( vs not =): T-Value = 1. 98 -Value = 0. 064 DF = 17 P

8. TEST of Analysis (X 3, X 4) D M A I Descriptive Statistics Graph: SCH 2 Plot FAIL * PUR Correlations: FAIL, PUR Pearson correlation of FAIL and PUR = 0. 859 P-Value = 0. 000 상관계수 0. 859 로 상관관계롤 가 상관계수 0. 859로 지고 p값은 0. 000으로 유의수준 0. 05보다 작으므로 불량품 입고에 따른 상관관계는 유의할 수 있다 C

11. TEST of Analysis (X 7) D M A I C Regression Analysis: SURPLUS versus STOCK The regression equation is SURPLUS = 99222273 - 9915734 STOCK S = 114670081 R-Sq = 9. 7 % R- Sq(adj) = 0. 6 % Analysis of Variance Source DF SS MS F P 1 1. 406 E+16 1. 06927 0. 325 Error 10 1. 315 E+17 1. 315 E+16 Total 11 1. 456 E+17 Regression 사양변경으로 인한 재고 발생

13. Analysis Summary D M A I C

1. Improve Master Plan D M A I Factor’s : Non-DOE를 통한 개선 Items C

7. Conclusion D M A I 개선전 개선후 P-value : 0. 640 : 0. 509 PPM : 708687 : 177757 Inverse Cumulative Distribution Function ◈ Sigma Level : Normal with mean = 0 and standard Zst = -0. 55 + 1. 5 deviation = 1. 00000 P( X <= x ) 0. 2900 x -0. 5534 = 0. 95 ◈Function Sigma Level : Inverse Cumulative Distribution Zst = 0. 92 + 1. 5 Normal with mean = 0 and standard deviation = 1. 00000 P( X <= x ) 0. 8200 x 0. 9154 = 2. 42 C

1. FMEA D M A I C

2. Control Plan D M A I C