Quality by Design_ Atmajaya_ by Mokh Suef.pptx

This document presented last year to graduate student of MBA program of Atma Jaya University - Jakarta.

1. Quality by Design Prof. Dr. Ir. Mokh Suef , MSc.(Eng.) General Course

2. Quotes Do the right things Right (Pieter Drucker)

3. OUT LINE

4. INTRODUCTION Product Quality is the crucial competitive advantage at most of any businesses

5. HOW TO ACHIVE PRODUCT QUALITY By Nature Cultivation Craftsmanship Inspection Specialist Process Control Quality Assurance By Design

6. Quality By Design Originated by Yoseph Juran Juran Trilogy : 1. Quality Planning or Design 2. Quality Control 3. Quality Improvement

7. THE IDEA Operational Problems  poor design Cost of Poor Quality Hulu Hilir Operation Problem arise

8. STEPS System Level Design Parameter Design Tolerance Design

9. 1. SYSTEM LEVEL DESIGN Customer Requirements Quality Characteristics / Quality Attributes Nature oh the Quality Characteristics Trade off Among the Quality Characteristics

10. 2. PARAMETER DESIGN Quality Characteristics Deployment Controllable and Uncontrollable Factor Robust Design

11. 3. TOLERANCE DESIGN Acceptable Range of QC  6 Make sure Parts will fit together Lower Specification Limit & Upper Specification Limit Quality Standard  

12. QUALITY TARGET Target for Each Quality Characteristics / Attributes: Smaller the Better  The target at zero point Larger the Better  The Target at infinity point Nominal the Best  The Target at a certain point

13. QUALITY PROBLEMS Pass Fail Fail X 2 X 3 X 1 X 1 Good Quality X 2 Poor Quality X 3 Near Poor Quality Target Value LSL USL QC Operation LSL = Lower Specification Limit USL = Upper Specification LImit

14. QUALITY LOSS Loss Pass Fail Fail X 2 X 3 X 1 Loss ( Rp ) LSL USL Target Value Meeting Target With Smallest Variation QC Operation

15. TRADITIONAL APPROACH Meeting Target  Shift mean to the Target Then, Use control Chart to control Large Variation  Variation

16. ROBUST DESIGN APPROACH Meeting Target  Shift mean to the Target Minimize Variation  minimize Noise Simultaneously maximize Signal to Noise Ratio Signal -------- = SNR Noise

17. SIGNAL TO NOISE RATIO Signal  Assignable Causes Noise  Unassignable causes Uncontrollable Factors Controllable but not Willing/ not capable to Control Factors SNR = - Log MSD

18. SMALLER THE BETTER TARGET Data Set Data Mean Variansi SNR 1 10 14 16 20 15 17,33 -23,77 2 5 9 11 15 10 17,33 -20,53 3 15 15 15 15 15 0,00 -23,52 4 10 10 10 10 10 0,00 -20,00 SNR = - Log MSD  MSD =∑Y 2 /n

19. LARGER THE BETTER TARGET Data Set Data Mean Variansi SNR 1 10 14 16 20 15 17,33 22,69 2 5 9 11 15 10 17,33 17,89 3 15 15 15 15 15 0,00 23,52 4 10 10 10 10 10 0,00 20,00 SNR = - Log MSD  MSD =∑(1/Y 2 )/n

20. End of Session Thank You