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Statistical Process Control. (SPC). What is Quality?. Fitness for use Conformance to the standard. Quality Improvement. Quality improvement processes that involve statistical method; Incoming Quality Control Statistical Process Control Outgoing Quality Control. Incoming & Outgoing QC.
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What is Quality? • Fitness for use • Conformance to the standard
Quality Improvement Quality improvement processes that involve statistical method; • Incoming Quality Control • Statistical Process Control • Outgoing Quality Control
Incoming & Outgoing QC Acceptance Sampling • Lot by lot sampling plan for attributes • Acceptance sampling by variables
Lot by Lot Sampling Plan For Attributes Types Of Sampling Plan • Single Sampling Plan • Double Sampling Plan • Multiple Sampling Plan • Sequential Sampling Plan MIL STD 105E (ISO 2859)
Acceptance Sampling By Variables Types Of Sampling Plan • Plan that control the lot/process fraction defective/nonconforming. • Plan that control the lot/process parameter MIL STD 414 Tables
Statistical Pocess Control Chance and Assingable Cause Of Quality Statistical basis for control chart • Basic Principles • Choice Of Control Limit • Sample Size & Sampling Frequency • Subgroups • Analysis Of Patterns On Control Charts
Statistical basis of the charts • Development and use of the charts • Interpretation of the charts • The operating characteristics function • Average Run Length (ARL) for the mean chart
Constuction & Operation of the charts • Control charts with variable sample size
Control Charts For The Attributes Control Charts for the fraction non-conforming • Development & Operation • Variable sample size • OC and ARL Control Charts for non-conformities • Procedure with constant sample size • Procedure with variable sample size • OC and ARL
Process Capability Analysis • Using histogram • Using probality plots • Process Capability Ratio (PCR) • Cp • PCR for an of center process • Normality and PCR • Confidence Interval & Test on PCR • PCR using control charts
Chance and Assingable Cause Of Quality • 2 types of variation • Natural variability (chance) • Assignable causes • Process with assignable causes is said to be out of control.
Basic Principles • Control charts consist of • Center line • Upper control limit • Lower control limit These limits is chosen so that when the process is in control, almost all the sample points will fall within the control limits.
Choice Of Control Limit 2 types of control limits • Three-sigma limits. • The distance between CL and the UCL/LCL is 3 sigma. • The 0.001 probability limits chart (use 3.09 sigma). • The distance between CL and the UCL/LCL is 3.09 sigma. Note:- 3-sigma limits popular in US. 0.001 prob. limits popular in UK & Western Europe.
Sample Size & Sampling Frequency • Larger samples easier to detect. • Use large sample if the shift of interest is small and small sample if the shift of interest is large. • Frequent sampling is better. Current practice favour small but more frequent samples.
Analysis Of Patterns On Control Charts Process out of control if • One or more points fall outside the control limits. • Points exhibit some non-random pattern. • Exhibit a cyclic behaviour.
Pattern recognition Process is out of control if • One point plots outside the control limit. • Two out of three consecutive points plot beyond the two sigma warning limits. • Four out of five consecutive points plot at a distance of the one sigma or beyond from the center line. • Eight consecutive points plot on one side of the center line.
Control Charts For Attributes • Control Chart For Fraction Nonconforming • Control Chart For Nonconformities
Process Capability Calculated using • Process capability ratio (PCR), Cp. • Probability ; *need to know process std deviation
Process standard deviation Process standard deviation is calculated by *use to estimate process capability
Process Capability Ratio (PCR), Cp And is estimated by
Interpretation What does it mean if • Cp < 1 • Cp = 1 • Cp > 1