2. Explain rationale for creation of common metadata
standards
Summarize scope, content, and benefits of E164
Share application examples that leverage these
models
Highlight the impact of E164 on equipment
purchasing process
Objectives
2
3. Node (nm) 800 600 350 250 180 130 90 45 32 22 14 10
Process
Window (Cpk)
Key Applications SPC R2R FDC VM PDM Big Data
Data Generated 0.016 0.3 2.4 40 240 1500
(MB/sec)
Supporting SECS-II GEM GEM300 EDA I EDA II E164…
SEMI Standards
Insatiable demand for data
And the evolution of the supporting standards
3
4. Consistent implementations of GEM300
Commonality across equipment types
Automation of many data collection processes
Less work to interpret collected data
Enables true “plug and play” applications
Major increases in engineering efficiency
Why is E164* so important?
Common metadata results in…
4
E164 is to EDA what GEM was to SECS-II
* EDA Common Metadata standard
6. E120/E125 Common Equipment Model usage/content
Nodes and parameters must have meaningful descriptions
Equipment element attributes for all E120 nodes must have
meaningful values
All definitions (exceptions, SMs, parameter types, units, SEMI
object types) must be referenced
Strict event name enforcement
State Machines
Strict State Machine definitions
Requires E157 State Machines for all process modules
Requires E90 State Machines for all substrate locations
Requires all Parameters, Events and Exceptions defined in
Freeze II standards to be present
State and transition names must match GEM300 standards
What does E164 specify?
Structure and content of equipment metadata
6
13. Features
Build tool production monitoring screen layout
Generate required data collection plans (DCPs)
Animate monitoring screen from collected data
“Self-configuring” – no programming required
E164 leverage
Dictates model structure and node types
Specifies standard parameter and event names
Used E90 substrate movement and location status and E157 process
module tracking events
Used E87 Carrier and E90 Substrate SEMIObjects
E164-based application example
“Quick connect” generic production monitor
14
14. E164 required elements
Used by “quick connect” production monitor
SubstrateLocation
state transition
events
Referenced in
auto-generated
DCP
Event Report
Contents
15
16. Product Time Measurement (SEMI E168)
How does it work with E164?
17
Process
Equipment
Event
Processor
$avings
EDA E164
Events
Material Movement
Events (E90, E87)
17. PTM Case Study (pre-EDA)
Throughput/Cycle Time Optimization
Source: NXP (not EDA
user)
18
18. Inter-process wait times have direct negative impact on
yield for critical process steps
Many advanced processes include a number of direct tool-
to-tool material delivery steps
Productivity KPIs are also affected by inaccurate carrier
completion estimates
Example E164 application
Lot (or carrier) completion estimation
19
19. Features
Provide continuously updated estimates for current
lot completion and equipment idle time for
MCS/AMHS dispatching decision support
Provide notification events at configurable thresholds
Maintain substrate process times per recipe
E164 leverage (using required elements)
Material Manager: E90 substrate transport events;
E87 Carrier instance attributes
Job Manager: attributes for ControlJob and
ProcessJob instances
Process Module nodes: E157 module process events
Example E164 application
Lot (or carrier) completion estimation
20
20. E164 required elements
Used in carrier completion algorithm (1)
Carrier ObjID
attribute
High-level
Equipment
structure
E90 Substrate
Transport
events
MaterialManager
Module
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21. E164 required elements
Used in carrier completion algorithm (2)
High-level
Equipment
structure
JobManager
Module
ControlJob
CarrierInputSpec
attribute
ProcessJob
PRMtlNameList
attribute
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22. “Quick-connect” generic production monitor
Dynamic sampling capability for wafer-level APC
Process characterization and experiment automation
Automated waveform analysis, “characteristic value” calculation
“Golden run” analysis and related tool/chamber matching
Precision trace data framing for MVA-based FDC
Equipment data mapping to fab structure/naming conventions
Component behavior monitoring for variability reduction
Feature extraction for predictive maintenance algorithms
Lot completion estimation (based on equipment metadata model)
Product Time Measurement (Wait Time Waste)
External sensor/subsystem integration
Factory applications
That directly leverage EDA and E164
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23. 1. Manufacturing objectives
2. SEMI standards required (EDA and others)
3. Metadata model content and scope
4. Process-specific requirements
5. Performance requirements
6. Conformance and acceptance testing
EDA purchasing implications
Important elements of requirements spec
24