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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
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SIX SIGMA QUALITY TECHNIQUES... WHERE YOU NEED TO BE TO COMPETE IN THE NEW MILLENNIUM Michael W. Piczak Dipl.T., B.Comm., MBA
DE FACTO, 6 SIGMA IS: The search for and control of X’s
GOALS OF 6 SIGMA • Defect reduction • Yield improvement • Improved customer satisfaction • Higher net income
WHERE TO FOCUS? For each product or process critical to quality (CTQ): • Measure • Analyze • Improve • Control
PRIMARY SOURCES OF VARIATION • Inadequate design margin • Unstable parts and material • Insufficient process capability
WHO IS THE ENEMY? VARIATION
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
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
PEDAGOGICAL APPROACH • Lecture • Discussion, debate and argument • Videos • Hands-on exercises using general and company specific examples
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
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
‘BONUS’ MODEL A key element
VOICE OF THE CUSTOMER • 2 Brands of customers • internal • external
ALL ON THE SAME PAGE Voice of the customer
IMPROVING THE PROCESS • Elimination • Simplification • Combination • Reuse • Parallel processing • Subcontracting
NO NEW PROBLEMS PLEASE • Poka Yoke techniques • guide pins • templates • limit switches • limited computer screen fields • checklists • interconnects
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
OLD METRICS • Measures of central tendency or typicality (mean, median, mode) • Measures of dispersion (range, variance, standard deviation)
NORMAL CURVE CHARACTERISTICS • Continuous • Symmetrical • Tails asymptotic to zero • Bell shaped • Mean = median = mode • Total area under curve = 1
VARIATION IN PERSPECTIVE • ± 1 Sigma • ± 2 Sigma • ± 3 Sigma • ± 4 Sigma • ± 5 Sigma • ± 6 Sigma • ± ? Sigma
FIXING BELIEF • Method of tenacity • Method of authority • Method of reasoning • Method of science
THE JOURNEY • Most companies presently at 3-4 sigma • The move is toward 6 sigma (Cp = 2) • Literature has references to 12 sigma (Cp = ?)
HYDRAULIC LIFT COMPANY See case on Page 37
NEW METRICS • dpu • dmpo THE CAVEAT
Dpmo, Cp and Sigma • using page 608 Lindsay and Evans, derive figures shown • using page 48 Piczak, derive figures shown