3. Leading Indicator Description
A continuous improvement program based
on statistical limits for both material and
equipment through the approach of zero
defects, process results, close loop controls,
maverick material analysis and improvement,
equipment utilization /uptime analysis and
real time controls/analysis. It includes three
type indicators – process, equipment, and
electrical leading indicators. The system
identifies any maverick processed material
prior to leaving the manufacturing site.
4. A multiple faceted approach to manufacturing
Zero defect approach
Process results; closed loop controls
Equipment utilization/uptime analysis
Real time controls/analysis
Continuous improvement based on statistical limits
for both material and equipment
Key Elements of Leading Indicators
5. Leading Indicator Program Features
Event based analysis
Known as Leading indicators
Based on location; machine, process, or electrical
leading indicators
By package family ( SOIC, P-Dip, DFN, BGA )
Limits are derived by statistical analysis
Analysis is real time
Each nonconforming event will define action to be
taken
OCAP’s, ( out of control action plans )
Failure analysis
Material disposition
Line requalification
6. Leading Indicator Program Features
Data is generated real time
OCAP’s ( Out of control action plan ) are required for
each operation
Closed loop analysis, maverick data requires F.A.
( Failure Analysis ) and C.A. ( Corrective action) on each
event
Pareto charts defines major issues which need to be
worked
Data to be sent to WEB or FTP site for continuous
monitoring of controls and improvements
7. Assembly Continuous Improvement
• Definition of defects
– Goal of assembly is continuous drive to zero defects
– Definition of different types of defects
– Systemic
More than one incident with identical failure
Requires OCAP ( out of control action plan ) if 3 incidents in
a 2 week period line shutdown until problem/problems are
solved
– Maverick
Random defects
Outliers
Difficult to predict
Maverick point
8. Leading Indicator Process Driven
Program
List of current Process Leading Indicators used in
manufacturing
Assembly yields by operation ( .2% yield loss
notification limit )
Wetting angle (post D/A cure)
W/B ( Wire Bond ) work holder cratering test by bond
site
C-Sam monitoring ( post mold IR reflowed and
analysis )
FVI ( final visual inspection)
Final Test Parametric Analysis
Tape and reel
11. Equipment Leading Indicator Tape
and Reel
Operator will inspect all rejects > .2% , separating rejects by
category for engineers to define R/C
Lead Scan
Good
Mark
Analysis
Lead
Analysis
R track
Reject
Rescreen
Next station
Good
Lead Scan
Basic Process Flow
Closed loop analysis
to determine R/C
12. Equipment Leading Indicators
Each piece of equipment will be under ELI’s ( Equipment
Leading Indicators )
Each piece of equipment will be divided into sub-systems
for analysis
Data will be generated on assist and failures
Statistical control on assist and machine failures
OCAP ( Out of Control Action Plan ) limits to be set for
assist and hard failures
Paytner and pareto charts will be generated to identify
weak sub-systems
15. Electrical Leading Indicators
Parametric Maverick lot trend analysis
A statistical approach to maverick lot
analysis
Parametric yields ( .3% per failure mode or
.4% overall parametric yield limit)
Analysis based on parametric yields
Limits based on a statistical mean and
Std Dev. ( Standard Deviation )
Opens, shorts, Isb (standby current ) and
pin leakage
F.A. training required to understand failure
mechanism
All lots which fail, require F.A. to determine
R/C
F.A. flow defined to prevent destroying
critical information in determining R/C
17. Parametric Failure Analysis F.A. flow for
Electrical Failures
Parametric leading indicators
Close loop analysis – Assembly, test and F.A. work together to solve root
cause of maverick lots
All lots which fail maverick lot limits are analyzed for root cause and C/A
( Corrective Actions ) are implemented in assembly to prevent reoccurrence
of problem.
18. Leading Indicators
Conclusion
Program identifies any maverick processed
material prior to leaving the manufacturing site
Zero defect program
Continuous improvement through statistically based analysis
Program is both equipment and process focused
Real time monitoring and analysis
Predicts potential equipment mis-processing before it happens