statistical process control (spc). what is quality? fitness for use conformance to the standard
TRANSCRIPT
Statistical Process Control
(SPC)
What is Quality?
Fitness for use Conformance to the standard
Quality ImprovementQuality improvement processes that involve statistical method;
1. Incoming Quality Control
2. Statistical Process Control
3. Outgoing Quality Control
Incoming & Outgoing QCAcceptance 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 VariablesTypes 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 ControlChance 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
Control Charts For Variables (Univariate)
chartsRandx
xxx
chartssandx
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
chartsRandx
Constuction & Operation of the charts
Control charts with variable sample size
chartssandx
Control Charts For The AttributesControl Charts for the fraction non-conforming Development & Operation Variable sample size OC and ARLControl 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
1. Natural variability (chance)
2. 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 Limit2 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
1. One or more points fall outside the control limits.
2. Points exhibit some non-random pattern.
3. Exhibit a cyclic behaviour.
Pattern recognitionProcess 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 Variables (Univariate)
chartsRandx
xxx
chartssandx
Control Charts For Attributes
•Control Chart For Fraction Nonconforming
•Control Chart For Nonconformities
chartsx
RAxLCL
xCL
RAxUCL
2
2
chartsR
RDLCL
RCL
RDUCL
3
4
chartsS
24
4
24
4
c1c
S3SLCL
SCL
c1c
S3SUCL
givenstd)chartsp(
ChartgminNonconforFraction
n
)p1(p3pLCL
pCLn
)p1(p3pUCL
)givenstdno()chartsp(
ChartgminNonconforFraction
n
)p1(p3pLCL
pCLn
)p1(p3pUCL
)givenstd()chartsc(
ChartControlitiesNonconform
c3cLCL
cCL
c3cUCL
)givenstdno()chartsc(
ChartControlitiesNonconform
c3cLCL
cCL
c3cUCL
Process CapabilityCalculated using
1. Process capability ratio (PCR), Cp.
2. Probability ;
*need to know process std deviation
)ˆ
xUSLz(P)
ˆxLSL
z(P
)USLx(P)LSLx(P
Process standard deviation
Process standard deviation is calculated by
*use to estimate process capability
2d
Rˆ
Process Capability Ratio (PCR), Cp
6
LSLUSLCp
And is estimated by
ˆ6
LSLUSLCp
Interpretation
What does it mean if Cp < 1 Cp = 1 Cp > 1