Lecture_11_30

Lecture_11_30 - Lecture of Nov 30 HW#11 due today. No Lab...

Info iconThis preview shows pages 1–5. Sign up to view the full content.

View Full Document Right Arrow Icon
1 Lecture of Nov 30 Lecture of Nov 30 HW#11 due today. No Lab tomorrow.
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
2 Six Sigma Still Pays Off At Motorola An article in the most recent issue of magazine. BusinessWeek To see the whole article, visit http://www.businessweek.com/magazine/content/06_49/b4012069.htm " It's [ six-sigma ] still paying off for Motorola Inc., too. . .. the Schaumburg (Ill.) company has climbed from a 15.4% market share in mobile phones to 22.4% over the past two years. Motorola netted $4.6 billion on $36.8 billion in revenues last year. ... About 35 % of U.S. companies have a Six Sigma program in place. "
Background image of page 2
3 c c - - chart and chart and u u - - chart chart • The attributes we are interested in: - # of defective items in samples of size n items (follow a Binomial distribution); - Chart No. 4-5 in the control chart table . - # of defects (or also called # of nonconformities) in samples of size n inspection units (follow a Poisson distribution). - Chart No. 6-7 in the control chart table .
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
4 1 General Control Chart Model (for charting statistic w, with L-sigma control limits): Distribution Parameters Known Distribution Parameters Unknown UCL = µ w + L σ w UCL = µ ˆ w + L σ ˆ w CL = µ w CL = µ ˆ w LCL = µ w – L σ w LCL = µ ˆ w – L σ ˆ w D = # defective items in sample of size n items x = # defects in one sample (one sample equals one inspection unit for c-charts and n inspection units for u-charts) General formulae for alpha and beta error, given LCL and UCL (use w and appropriate distribution from above table): α = P{w > UCL or w < LCL | in-control distribution parameter} = 1 – P{w UCL | in-control distribution parameter} + P{w < LCL | in-control distribution parameter} β = P{LCL w UCL | out-of-control distribution parameter}
Background image of page 4
Image of page 5
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 02/14/2011 for the course ISEN 314 taught by Professor M during the Fall '10 term at Texas A&M.

Page1 / 16

Lecture_11_30 - Lecture of Nov 30 HW#11 due today. No Lab...

This preview shows document pages 1 - 5. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online