six sigma quality techniques l.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
SIX SIGMA QUALITY TECHNIQUES... PowerPoint Presentation
Download Presentation
SIX SIGMA QUALITY TECHNIQUES...

Loading in 2 Seconds...

play fullscreen
1 / 95

SIX SIGMA QUALITY TECHNIQUES... - PowerPoint PPT Presentation


  • 139 Views
  • Uploaded on

SIX SIGMA QUALITY TECHNIQUES. WHERE YOU NEED TO BE TO COMPETE IN THE NEW MILLENNIUM. Michael W. Piczak Dipl.T., B.Comm., MBA. THE MAIN ELEMENTS. DE FACTO, 6 SIGMA IS: . The search for and control of X’ s. GOALS OF 6 SIGMA. Defect reduction Yield improvement Improved customer satisfaction

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

SIX SIGMA QUALITY TECHNIQUES...


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
    Presentation Transcript
    1. SIX SIGMA QUALITY TECHNIQUES... WHERE YOU NEED TO BE TO COMPETE IN THE NEW MILLENNIUM Michael W. Piczak Dipl.T., B.Comm., MBA

    2. THE MAIN ELEMENTS

    3. DE FACTO, 6 SIGMA IS: The search for and control of X’s

    4. GOALS OF 6 SIGMA • Defect reduction • Yield improvement • Improved customer satisfaction • Higher net income

    5. WHERE TO FOCUS? For each product or process critical to quality (CTQ): • Measure • Analyze • Improve • Control

    6. PRIMARY SOURCES OF VARIATION • Inadequate design margin • Unstable parts and material • Insufficient process capability

    7. WHO IS THE ENEMY? VARIATION

    8. RECOGNITION OF & STATEMENT OF PROBLEM CHOICE OF FACTORS (Xi’s), LEVELS, RANGES SELECTION OF RESPONSE VARIABLE (Y) CHOICE OF EXPERIMENTAL DESIGN PERFORMING EXPERIMENT STATISTICAL ANALYSIS OF DATA CONCLUSIONS, RECOMMENDATIONS, NEXT STEPS

    9. OUR BASIC RESEARCH PARADIGM • Enter data and editing same • Verify data integrity via Counts/Describe • Run Descriptives • Generate graphs & charts of data • Analyze ANOVAs • Run regressions, DOEs, GR&Rs

    10. PEDAGOGICAL APPROACH • Lecture • Discussion, debate and argument • Videos • Hands-on exercises using general and company specific examples

    11. TERMINAL PERFORMANCE OBJECTIVES As a result of taking this program, the participant will be able to: • Appreciate the scope of 6 Sigma practices in context of other company initiatives • Apply a variety of tools to solve problems

    12. T.P.O.s CONTINUED... • Participate as a contributing member of a continuous improvement or problem solving team • Use Minitab as a data analysis tool

    13. GENESIS OF 6 SIGMA

    14. WHAT ARE WE REACHING FOR?

    15. ELEMENT 1

    16. PORTER’S 5 FORCES MODEL

    17. PEST MODEL

    18. ‘BONUS’ MODEL A key element

    19. VOICE OF THE CUSTOMER • 2 Brands of customers • internal • external

    20. ALL ON THE SAME PAGE Voice of the customer

    21. DESCRIBE THE PROCESS

    22. IMPROVING THE PROCESS • Elimination • Simplification • Combination • Reuse • Parallel processing • Subcontracting

    23. CRITICAL EXAMINATION

    24. NO NEW PROBLEMS PLEASE • Poka Yoke techniques • guide pins • templates • limit switches • limited computer screen fields • checklists • interconnects

    25. GETTING BETTER? • The need to measure in quantitative terms important • QS9000 demands it in terms of quality and effectiveness • customer satisfaction • quality levels (# non-conformances, dpu, dpmo) • cycle times • die change times

    26. ELEMENT 2: MEASUREMENT

    27. OLD METRICS • Measures of central tendency or typicality (mean, median, mode) • Measures of dispersion (range, variance, standard deviation)

    28. THE NORMAL DISTRIBUTION

    29. NORMAL CURVE CHARACTERISTICS • Continuous • Symmetrical • Tails asymptotic to zero • Bell shaped • Mean = median = mode • Total area under curve = 1

    30. A KEY FORMULA

    31. VARIATION IN PERSPECTIVE • ± 1 Sigma • ± 2 Sigma • ± 3 Sigma • ± 4 Sigma • ± 5 Sigma • ± 6 Sigma • ± ? Sigma

    32. VISUALIZING VARIATION

    33. THE HUNT FOR X

    34. FIXING BELIEF • Method of tenacity • Method of authority • Method of reasoning • Method of science

    35. THE SCIENTIFIC METHOD

    36. VISUALIZING VARIATION

    37. PROCESS CAPABILITY

    38. PROCESS CAPABILITY II

    39. THE JOURNEY • Most companies presently at 3-4 sigma • The move is toward 6 sigma (Cp = 2) • Literature has references to 12 sigma (Cp = ?)

    40. Cpk

    41. HYDRAULIC LIFT COMPANY See case on Page 37

    42. CAPABILITY ST & LT

    43. Cp LONG TERM (LT)

    44. ST to LT

    45. NEW METRICS • dpu • dmpo THE CAVEAT

    46. Dpmo, Cp and Sigma • using page 608 Lindsay and Evans, derive figures shown • using page 48 Piczak, derive figures shown

    47. 2 ROADS TO PROFITABILITY