六西络玛发射飞机试验.ppt

1、1,DMAIC BB Practice Program Aircraft Performance Improvement,Six Sigma Academy Samsung Electro-Mechanics,2, Training outline - In this course, you will practice the Six Sigma project development process according to DMAIC step on Aircraft example Training purpose Through DMAIC synthesis practice tha

2、t use Aircraft performance improvement Project, you will be able to understand education contents by DMAIC each step experience problem solving process that use Six Sigma methodology confirm project effect by executing contest with practice result solve a problem when executing an actual project,Ove

3、rview,3,Overview, Practice abstract - Aircraft discharge system is consisted of Aircraft main frame and launch pad - If you put up Aircraft on launch pad and draws in propulsion body, Aircraft is reached target point - If target point is given random, you must decide Aircraft and launch pad Setting

4、method to reach target point exactly minimizing Aircraft scattering,4,Overview, Problem circumstance - Aircraft that is manufactured at the SIGMA company is only possible rectilinearity flight, and flight accuracy about target is very lacking - So, it need performance improvement of Aircraft and lau

5、nch pad to reach exactly in specification position (Target 20) and right and left control should be available, Aircraft discharge system architecture,Propulsion body,2 Hinges,Baseplate,Angle control guide,Clamp screw,Firing table,Wooden support,Aircraft,Elastic string,Elastic string breadboard, Wood

6、en chopsticks Aircraft, Paper Aircraft,5, Aircraft performance - It mustbe able to control to reach place that discharge person wants - Scattering of touchdown point for uniformity target should be minimized - If performance is equal, required expense at 1th flight should be minimized Reserve stock,

7、Overview,6,Overview, Ground Rule - Practice team member composition : 56 person / team leader, discharge person, measurer, chronicler, Aircraft caterer etc. - Launch pad position fixing You must not move direction of launch pad to move Aircraft touchdown point to right and left - Aircraft itself rec

8、onstruction prohibition That should not remodel by shape differing except provided matrix Other item improvement is possibility except shape - Required expense calculation Calculate only by Aircraft discharge number of times, once discharge expense is 10,000 If you use model Aircraft by addition, ad

9、d use number x unit cost for requirement expense Clip and other subsidiary materials use expense consider in contest only,7,Overview, Essential outputs by phase,Define,Measure,Analyze,Improve,Control,Phase,Problem description, target description, expectation effect, team selection, deployment schedu

10、le,MSA, current capability analysis Process map, C&E diagram, FMEA potential Xs list that is prioritized,Data analysis Vital few Xs list,Improvement strategy and method for Vital Few Xs Flight position estimate model that use the most suitable alternative of alternative variable and control variable

11、 - Optimum conditions of vital Few Xs,Process capability after improvement Control plans, standardization Required expense,4Hr,8Hr,4Hr,4Hr,2Hr,Outputs,Time required,8,Define,Road map,9,Define, Project selecting background description,Step 1. Selecting project,- B Team (6人)计划去骷髅岛寻宝。但是,由于骷髅岛树木繁茂,唯一的途径

12、是坐飞机 前往。 - 我们只有一架飞机,必须一次性成功。 - 我们要准确着陆,需要对飞机进行系统改进。,10,Define, Problem description, Target description,Step 2. Defining project, Expected benefit,- 跑道条件差,导致飞机无法正常起航 - 飞机偏离目的地,- 飞机安全、准确着陆,- B Team 安全到达目的地 - 探宝成功,11,Define, Project scope,投资人 航空公司,飞机 发射台 JIG 跑道 测量工具 修理工具,Setting 飞机发射 着陆点测试,着陆点位置,投资人 B

13、Team,Step 2. Defining project,12,Define, Team selection,Step 2. Defining project,13,Define, Deployment schedule,Step 2. Defining project,14,Define,Step 3. Approving project,15, Risk management,Risk management example,Define,Summary,16,Measure,Road map,17,Measure,Step 4. Confirming Ys, Confirming Ys,

14、- Distance with target and actual descent point (Need distance minimization and scattering minimization),Discharge direction,Target point,Right and left distance,Fore and back distance,Actual descent point,18,Measure,Step 5. Confirming baselines,- If there is no jig, you should produce itself that h

15、elp to put Aircraft in propulsion body before enforce MSA (Use wooden chopsticks), Preparation before confirming baselines,19, MSA (Measurement System Analysis),Measure,- MSA enforcement to 3 measurers (Through Aircraft descent point measurement, you can confirm only reproducibility) - Results of me

16、asurements 省略 - Results of analyses 省略,Step 5. Confirming baselines,20, Capability analysis,Measure,- Execute process capability analysis about Y1, Y2 after launch Aircraft each 10 times about three types distance (3.0 / 4.0 / 5.0m) - Spec : Y1 (fore and back distance with target and actual descent

17、point) 20 Y2 (right and left distance with target and actual descent point) 20 - Decide SOP about setting method and condition through Aircraft test fire,Step 5. Confirming baselines,21,- Process capability analysis data,Step 5. Confirming baselines,Measure,22,- Process capability analysis result (Y

18、1),Step 5. Confirming baselines,Measure,P-Value =0.4590.05,正态分布,PPM = 93830.05,CPK =0.51,PPK =0.50 Sigma Level =0.67,23,Step 5. Confirming baselines,Measure,- Process capability analysis result (Y2),P-Value =0.1180.05,正态分布,PPM = 158058.62,CPK =0.35,PPK =0.37 Sigma Level =0.62,24,Measure,Step 6. Find

19、ing Xs, Process Map,- Aircraft process is consisted of design, manufacture, setting, discharge process, but consider setting, discharge process here - Confirm VA / NVA and CNS,Setting C/T =30s,安装发射JIG C/T =90s,放置飞机 C/T =10s,拉助推器 C/T =5s,飞机飞行 C/T=1s,测量数据 C/T=60s,C 发射角度,皮筋 N 地面平坦度 S 放置位置,C JIG厚度 N JIG

20、平面度 S JIG材质,C 飞机放置位置 N 飞机大小 S 飞机方向,C 皮筋力度,拉深距离 N 摩擦力,N 飞行阻力,C 测定者准确度 N 测定者情绪、 健康 S 测量标准,尺度,Output variables - Fore and back distance with target and actual descent point (Y1) - Right and left distance with target and actual descent point (Y2),Start,End,Input Variables,VA,VA,VA,VA,NVA,VA,飞机发射 C/T=5s,

21、C 发射力度 N 摩擦力,VA,25, C & E Diagram,Y1 Y2,Materials,Methods,Environments,Machines,Measurements,Men,Measure,Step 6. Finding Xs,发射器角度,皮筋拉伸长度,皮筋数量,发射槽长度,发射槽宽度,机头位置,机头重心,飞机固定位置,机翼平衡度,飞机稳定性,地面,发射者,起始位置,风,风向,风强度,水平度,测量者,印记标注者,尺,精度,测定基准,拉的时间/距离,拉的时间/距离,发射台固定程度,26, X-Y Matrix,X-Y Matrix excel template,Measure

22、,Step 6. Finding Xs,27,- Pareto Chart,Step 6. Finding Xs,Measure,28, FMEA,Measure,Step 6. Finding Xs,FMEA excel template,29, Measure phase summary,Measure,Summary,30, Risk management revision,Risk management example,Measure,Summary,31,Analyze,Road map,32,Analyze,Step 7. Collecting data, Data Collect

23、ion Plan,33,Analyze,Step 8. Analyzing data, X1 :拉伸长度,- Collected data,- Normality test,Input normality test graph,全部为正态性数据,34,- Results of data analysis 拉伸距离的变化对Y1的分散和平均都有影响 拉伸距离的变化对Y2的分散和平均没有影响,Analyze,分散同质性验证结果 P-Value=0.0220.05, 表明拉伸长度变化，飞行距离的分散有差异 2sample-T验证结果 P-Value=00.05,表明拉伸长度变化，飞行距离有差异，两者成

24、正比关系,Graphical analysis &statistical analysis about Y1,Step 8. Analyzing data,Y1飞行距离,分散同质性验证结果 P-Value=0.1050.05, 表明拉伸长度变化,飞行距离的左右偏差分散无差异 2sample-T验证结果 P-Value=0.3490.05,表明拉伸长度变化，飞行落点左右偏差无差异,Y2飞行落点的 左右偏差,35,Analyze,Step 8. Analyzing data, X2 :皮筋个数,- Collected data,- Normality test,Input normality te

25、st graph,全部为正态性数据,36,Analyze,Step 8. Analyzing data,Y1飞行距离,分散同质性验证结果 P-Value=0.0400.05, 表明皮筋个数变化，飞行距离的分散有差异 2sample-T验证结果 P-Value=00.05,表明皮筋个数变化，飞行距离有差异，两者成正比关系,Y2飞行落点的 左右偏差,分散同质性验证结果 P-Value=0.0120.05, 表明皮筋个数变化，飞行落点的分散有差异 2sample-T验证结果 P-Value=0.0060.05,表明皮筋个数变化，飞行落点有差异,- Results of data analysis 皮

26、筋个数的变化对Y1、Y2的分散和平均都有影响,37,Analyze,Step 8. Analyzing data, X3 :PIN 位置,- Collected data,- Normality test,Input normality test graph,全部为正态性数据,38,- Results of data analysis PIN位置的变化对Y1的分散和平均都有影响 PIN位置的变化对Y2的分散和平均没有影响,Analyze,Graphical analysis &statistical analysis about Y1,Graphical analysis &statistic

27、al analysis about Y2,Step 8. Analyzing data,Y1飞行距离,Y2飞行落点的 左右偏差,分散同质性验证结果 P-Value=0.0090.05, 表明PIN位置变化,飞行距离的分散有差异 2sample-T验证结果 P-Value=00.05,表明PIN位置变化，飞行距离有差异,两者成正比关系,分散同质性验证结果 P-Value=0.8160.05, 表明PIN位置变化,飞行落点的分散没有差异 2sample-T验证结果 P-Value=0.0870.05,表明PIN距离变化,飞行落点没有差异,39,Analyze,Step 9. Selecting v

28、ital few Xs, Vital Few Xs List,40,Analyze,Summary, FMEA,FMEA excel template,41,Improve,Road map,42,Step 10. Establishing improvement plans,Improve, Confirming the features of Xs and establishing plans for optimization,43,Step 11. Optimizing Vital Few Xs,Improve, DOE Plan,- Experiment purpose 查找“皮筋根数

29、、皮筋位置、拉伸距离”的最适合条件，使Y1、Y2达理想值 - Defining output variables (Ys) Y1 : Fore and back distance with target and actual descent point Y2 : Right and left distance with target and actual descent point - Determining factors and levels,44,Improve,- DOE Factors: 3 Base Design: 3, 8 Runs: 8 Replicates: 1 Blocks

30、: none Center pts (total): 0, DOE Data (full factorial DOE),Step 11. Optimizing Vital Few Xs,45,Improve, Graphical analysis of an experiment,Step 11. Optimizing Vital Few Xs,46,Improve, Statistical analysis of an experiment,Step 11. Optimizing Vital Few Xs,Estimated Effects and Coefficients for Y2 (

31、coded units) Term Effect Coef Constant 3.113 皮筋根数 4.075 2.037 皮筋位置 4.475 2.237 拉伸距离 4.875 2.438 皮筋根数*皮筋位置 -0.475 -0.237 皮筋根数*拉伸距离 -0.575 -0.287 皮筋位置*拉伸距离 -3.775 -1.888 皮筋根数*皮筋位置*拉伸距离 -1.825 -0.912 Analysis of Variance for Y2 (coded units) Source DF Seq SS Adj SS Adj MS F P Main Effects 3 120.794 120

32、.794 40.265 * * 2-Way Interactions 3 29.614 29.614 9.871 * * 3-Way Interactions 1 6.661 6.661 6.661 * * Residual Error 0 0.000 0.000 0.000 Total 7 157.069,47,Improve, Pooling to error term,Step 11. Optimizing Vital Few Xs,48,Improve, Residual plots analysis,Step 11. Optimizing Vital Few Xs,49,Improv

33、e, Describing numerical model as a result,- Prediction model Coded Unit : Y1=348.888 + 99.487*皮筋根数 + 62.313*拉伸距离 Y2=3.113 + 2.237*皮筋位置 + 2.438*拉伸距离 Uncoded Unit : Y1=- 506.869 + 99.487*皮筋根数 + 1.55781*拉伸距离 Y2=- 30.4312 + 2.237*皮筋位置 + 0.0609375*拉伸距离 - % Contribution (Ratio of the change amount that ca

34、n explain by prediction model about total change of an experiment) % Contribution =Y1：97.9% Y2：77% - 3s prediction intervals that use prediction model,Step 11. Optimizing Vital Few Xs,50,Improve, Experiment adding center points,Step 11. Optimizing Vital Few Xs,51, Statistical analysis of experiment adding center points,Improve,Step 11. Optimizing Vital Few Xs,52, Optimization Determining Xs level,Improve,Step 11. Optimizing Vital Few Xs,53,Step 12. Verifying resul