1. Quality: Production line- Tea Infuse TeamMa Chi FaiShi Cai Tao LiXiang Ji Rui Lin

2. D M A I C Everything starts with a question Q: How often do you change the tea leaf? A: No idea, but it doesn’t matter so… Why don’t we try to answer the question ourselves? A improvement driven direction formed

3. D M A I C Definite of the projects  Target  Obtain infused tea with similar level of Tea Polyphenol  Balance between tea polyphenol and cost D

4. D M A I C Demonstrate SIPOC analysis and simulation  Heater session SupplierInputProcess  Time of tea be infused  Volume of water (100L )  Water temp. (90 °C)  Amount of Tea leave  Type of tea…  Concentrated of Tea Polyphenol  2g of tea leave per unit, 6 units Tea leave  Infuse for 10 minutes  Compress with high pressure for rotation  90 °C Water  750 ml  4 minutes WaterInfuse time OutputCustomer  Dilution session Remark Technician cannot provide the amount for tea leave for the production line  Shake with hands in metallic container SIPOC: Production line simulation D Action

5. D M A I C Methodology-Testing solution D

6. D M A I C Control solutions Sample solutions Control solutions Sample solutions D

7. D M A I C Methodology Testing solution  Operated by the same person at each role  Stir tea sample before used  Filter tea sample before used with filter paper  Cooled the sample tea to room temperature (about 26 °C ) for 50 minutes 。 D

8. D M A I C Measurement Given in advance M

9. D M A I C Measurement - Design of Experiment  Factors studied  Times of tea be infused  1, 2, 3, …  Type of tea  Non quantifiable  The difference of the first factor’s impact on different type of tea  Response variable  concentration of Tea Polyphenols( 茶多酚 )X Y M

10. D M A I C Measurement - Design of Experiment  Measurement System Variation Analysis  Variation due to Gage  A machine is used for measuring the concentration in the experiment.  Chemical reagent might change over time.  Variation due to Operators  Certain procedures are performed by the same operator through one block. M

11. D M A I C Measurement - Design of Experiment  Other DOE Principles considerations  Randomization  No subjective bias since we are using the machine to test the ingredient.  Replication vs. Repetition  Standard procedures  Aiming at insight  Blocking  A fixed group of members for each different type of tea M

12. D M A I C Measurement - Design of Experiment  Statistical Modeling considerations  Discrete variables.  Our main target of the experiment is to test our hypothesis.  It doesn’t really mater that how larger the difference can be after the difference is large enough to cause a critical failure in performance. To sum up, a statistical model using ANOVA or something else is not of much meaning in our case. We give the regression line for showing the noticeable decreasing trend. M

13. D M A I C Improvement I

14. D M A I C Results of Jasmine tea Infuse #Tea Polyphenols 11.947 21.231 30.582 40.374 50.041 A Tea Polyphenols decrease with infuse #

15. D M A I C Analysis – result Infuse #Tea Polyphenols 11.071 20.325 30.089 40.053 50.052 60.008 Different type of tea, different shape of curves Tea Polyphenols decrease with infuse # Decrease rate varies with kind of tea leave A

16. D M A I C When to change tea leave? Suggestion 1: Observation  Change tea leave based on observation 1st2nd3rd4th5th6th Infuse #  Add transparent glass layer to the container for observation Pu-erh tea Challenge Label the 1 st and 6 th infuse tea  From previous data, darkness is proportional to the number of Tea Polyphenol Infuse #Tea Polyphenols 11.071 20.325 30.089 40.053 50.052 60.008 A

17. D M A I C Concern: suggestion 1: Observation  Change tea leave based on observation Let’s see the number of Tea Polyphenol of Jasmine tea Jasmine tea Challenge Label the 1 st and 6 th infuse tea A

18. D M A I C Analysis – result Infuse #Tea Polyphenols 11.339 20.924 30.576 40.294 50.250 60.149 A Tea Polyphenols cannot be determined by darkness (color) Common quality problem Why 3 types of tea? Misleading if just investigate the Tieh-Kuan-Yin Tea and Pu-erh tea Drawing a wrong solutions

19. D M A I C Original Changing stragty Similar color Tieh-Kuan-Yin Tea Color difference Infuse #Tea Polyphenols 11.339 20.924 30.576 40.294 50.250 60.149 Pu-erh Tea Jasmine Tea Infuse #Tea Polyphenols 11.071 20.325 30.089 40.053 50.052 60.008 Infuse #Tea Polyphenols 11.947 21.231 30.582 40.374 50.041 Original method cannot provide uniform tea polyphenols, we need to change A

20. D M A I C Proposed idea Infus e Ball1Ball2Ball3Ball4Ball5Ball6Ball7Ball8Ball9Ball1 0 11 221 3321 44321 554321 6654321 7654321 8654321 9654321 10654321 Change: Throw in next infuse Change: Add in next infuse Number inside Refer to Infuse # to that box Record

21. D M A I C Analysis – result A

22. D M A I C Analysis - PCA  Process Capability Analysis U-L 343434 Pu-erh tea0.41850.40990.98201.01801.17311.24180.02210.06102.7635 Jasmine Tea0.55750.61491.36501.57301.22431.27910.05170.11342.1936 Tieh-Kuan-Yin Tea0.31190.39080.76301.04501.22321.33690.05090.12402.4343 A

23. D M A I C Control C

24. D M A I C Equipment-a device that can solve the problem I

25. D M A I C I

26. D M A I C Equipment-inside view I

27. D M A I C Conclusion  We should chance the tea leave every time  Apply 6 boxes designed  Solve costly problem  Maintain the relatively stable level of tea Polyphenol

28. D M A I C Some discussions  The definition of our quality is the variance of Tea Polyphenols’ concentration only in our work.  Further study can be focused on how many blocks we should have in the device we designed so that the level of Tea Polyphenols can meet the standards, which is too time consuming for us considering the experiment we already made.  Our study is a very practical one, not so theoretical.