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S tatistical P rocess C ontrol S P C. Definitions. Special Cause (also assignable causes) special causes refer to any factors of variation that are not always acting on the process. They affect the process in unpredictable ways. Common Cause
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Statistical Process Control S P C SPC Design
Definitions • Special Cause (also assignable causes) • special causes refer to any factors of variation that are not always acting on the process. They affect the process in unpredictable ways. • Common Cause • common causes refer to the many sources of variation within a process that has a stable and repeatable distribution over time. The output is predictable. SPC Design
Distribution Standard Normal Distribution Distribution of total points for the sum of three dices 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 SPC Design
Distribution Standard Normal Distribution Bell-shaped Curve (Gauß) SPC Design
Standard Normal Distribution Turning-Point s -5 5 6 -4 -6 -2 -3 -1 0 2 3 4 1 X SPC Design
Glossary and Symbols Target and Prediction ??? ? SPC Design
Glossary and Symbols • x : mean valuecompute the mean value, using the following formula: the sum of values from a given sample X = number of values (sample size) SPC Design
Glossary and Symbols Σ Rj • R • s2 • s = average range of subgroups m Σ s2j average variance = m Σ sj average sample standard diviation = m SPC Design
Glossary and Symbols • Upper Control Limit ( UCL ) line(s) on a control chart used as a basis for judging the stability of the processFormula: UCL R= D4* R UCL x = x + A2* R UCL s = B4* s UCL x = x + A3* s SPC Design
Glossary and Symbols • Lower Control Limit ( LCL ) line(s) on a control chart used as a basis for judging the stability of the processFormula: LCL R= D3* R LCL x = x - A2* R LCL s = B3* s LCL x = x - A3* s SPC Design
Glossary and Symbols • Upper Specification Limit ( USL ) • Lower Specification Limit ( LSL ) • upper/ lower engineering specification limit • engineering requirement for judging acceptability of a particular characteristic SPC Design
Process Potential & Capability Loss Function USL LSL Customer Requirement acceptable acceptable good good Loss Loss very good Target Value SPC Design
Process Potential & Capability cp: Process Potential • an index based on long-term observation of a process in a state of statistical control pp: Preliminary Process Potential • short-term observation of process • early information of new or changed process • used for process and equipment development SPC Design
Process Potential & Capability SPC Design
Process Potential & Capability • PIST: • Percent of Inspection points which Satisfy the Tolerance number of characteristics satisfying tolerance PIST = x 100 total number of characteristics SPC Design
Process Potential & Capability • PIPC • Percentage of Indices which are Process Capable number of characteristics with pp/ ppk 1,67 PIPC = x 100 total number of characteristics SPC Design
Control Chart Header, information relating to plant, machine, shift, part number, ..... X Bar Chart showing: USL, UCL, x, ....., LSL, LCL results over time Reaktion Plan Quality References Ranges (R Chart) showing: USL, UCL, R, ....., LSL, LCL results over time relating to: R, s, s2 Instruction regarding computation, .... Individual readings, summary & dates explaning and relating to data for graph SPC Design
Control Chart Header, information relating to plant, machine, shift, part number, ..... Process Log Sheet (Back of Page): Information relating any changes made to process: Example: new tooling, materials, ..... change of shift, unplanned down time, ..... maintenance, cleaning, ..... ..... all information that night be needed when investigating root causes of problems SPC Design
Qualitätsregelkarte • Interpretation/ Overadjustment Upper Specification Limit Upper Control Limit Upper Warning Limit Mean Lower Warning Limit Lower Control Limit Lower Specification Limit SPC Design
Bibliography • Statistical Process Control (SPC) Reference Manual, Chrysler, Ford, GM, Ausgabe 1995 • The Memory Jogger II, GOAL/ QPC, First Edition, Methuen, Mass. USA 1994 • Qualitätsmanagement von A-Z, Kaminske/ Bauer, Hanser Verlag, 2. Edition 1994 • The Six Sigma Phenomenon, Mikel Harry, Richard Schroeder SPC Design