Six Sigma Statistical View Dedy Sugiarto 1 What

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Six Sigma : Statistical View Dedy Sugiarto 1

Six Sigma : Statistical View Dedy Sugiarto 1

What is Variation? Less Variation = Higher Quality 2

What is Variation? Less Variation = Higher Quality 2

Definition Quality is inversely proportional to variability. Quality improvement is the reduction of variability

Definition Quality is inversely proportional to variability. Quality improvement is the reduction of variability in processes and products. 3

35 30 Percentage 25 20 15 10 5 200 190 180 170 160 150

35 30 Percentage 25 20 15 10 5 200 190 180 170 160 150 140 130 120 110 100 90 80 70 60 50 40 30 20 10 0 0 Thickness Histogram: A barchart showing the distribution of the process. 4

The world tends to be bell-shaped or Normal Distribution Even very rare Fewer outcomes

The world tends to be bell-shaped or Normal Distribution Even very rare Fewer outcomes are in the “tails” possible (probability > 0) (lower) Most outcomes occur in the middle Fewer Even very rare in the outcomes are “tails” possible (upper) (probability > 0) 5

“Normal” bell shaped curve Normal distributions are divide up into 3 standard deviations on

“Normal” bell shaped curve Normal distributions are divide up into 3 standard deviations on each side of the mean 6

Types of variation Common Causes of variaton Special Causes of variaton 7

Types of variation Common Causes of variaton Special Causes of variaton 7

Reducing Variation in a Stable Process Make Permanent Changes are based on the scientific

Reducing Variation in a Stable Process Make Permanent Changes are based on the scientific approach Structured problem solving 3 Planned experiments 3 Examples: new equipment, equipment upgrade, new procedure, new machine settings, better raw material 8

Capability Analysis (The Concept) v If the process mean is in control then virtually

Capability Analysis (The Concept) v If the process mean is in control then virtually all points will remain within control limits. v Staying within control limits does not necessarily mean that specification limits are satisfied. v Specification limits usually dictated by customers. 9

Capability Analysis (The Indices) • Cp < 1 (Process is unsatisfactory). Potential Capability Index

Capability Analysis (The Indices) • Cp < 1 (Process is unsatisfactory). Potential Capability Index • 1 < Cp < 1, 33 (Process is of medium relative capability). • Cp > 1, 33 (Process show high relative capability). • This index show well a process is able to meet specifications. • The higher the value of the index mean the more capable is the process. 10

Capability Analysis (The Indices) • If Cp = Cpk (Process is centered at the

Capability Analysis (The Indices) • If Cp = Cpk (Process is centered at the midpoint of the specifications). Actual Capability Index • Cpk < Cp (Process is offcenter). This index takes process centering into account! 11

Capability Analysis (The Conclusion) v The message from process capability studies: – First reduce

Capability Analysis (The Conclusion) v The message from process capability studies: – First reduce the variation in the process. – Then shift the mean of the process towards the target. 12

Sigma level and Capability process index Sigma = Cpk = 2 13

Sigma level and Capability process index Sigma = Cpk = 2 13