Design of experiments (Doe) Six Sigma

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Methods, processes and techniques of failure analysis Problem resolving techniques Analytical methods Management methods Line lists Affinitydiagrams Histograms Relationsdiagrams ParetoDiagrams Lorenz-ParetoDiagrams Causeeffect Diagrams Distribution diagrams (Correlation) Capability analysis A B C A B C Treediagrams Process decision diagrams Arrow diagrams Matrix diagrams Preventive techniques Quality Function Deployment QFD FMEA Failure mode and effect analysis FTA Failure tree analysis Statistical research methods classical Taguchi Shainin Poka Yoke (with failure source inspection) Statistical process control SPC Figure 1.. Calculation of the constant values and the coefficients of the formula CombinationThe result is the formula 13 (compare to the common form of formula 12): Now the value t (formula 14): f,95 y = b0+b1x1+b2x2+b12x1x2 (12) y = 9.92 + 3.25x1 – 2.15x2 – 0.15x1x2 (13) S d is calculated to decide about the significance of the coefficients t f,95 S d = 0.3046 (14) The test gives the following results: - The factor that most influence the results is the speed (3.25).. the Six-Sigma view Real data Examples of the logistics 100 millions containers are on tour worldwide at each moment Post-offices exist in Germany 10 1,5 million customers were delivered with letters each day 10 There are in summary 12249 motorvehicles for airtraffic in Germany in Virtual values of defects – not real data Classical view Six sigma view 99.37 good (4 sigma) good (6 sigma) containers are missed containers are missed 74 offices are closed no office is closed 9315 customers get no or a wrong letter 76 accidents with a motorplane 8 customers get no or a wrong letter No accident with a motorplane Literature: (in german, 6 in


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