integrated equipment data collection and management
TRANSCRIPT
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16 March 2018
Cimetrix Incorporated
Integrated Equipment Data
Collection and Management for
Smart Manufacturing
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Outline
• Key messages
• Smart Manufacturing context
• Factory stakeholders
• Equipment model value chain
• SEMI Standards support
• Integrated data management
• Application examples
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Key messages
• Stakeholder needs drive all requirements
• Equipment models are key technology • Content determines system capability
• Management tools determine user experience
• Service-oriented architectures enable smooth technology evolution through decoupling
• Current SEMI Standards provide direct support
• Consistent user experience is vital for stakeholder satisfaction and system adoption
• Chinese semiconductor industry is in perfect position to leverage all the above
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What is “Smart Manufacturing?” From Industry 4.0 Wikipedia…
• “… cyber-physical systems monitor physical processes, create a virtual copy of the physical world and make decentralized decisions.
• Over the Internet of Things, cyber-physical systems communicate and cooperate with each other and with humans in real time…”
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Factory stakeholders KPIs, applications, equipment models…
Key Performance Indicators
(KPIs)
Factory Stakeholders
Manufacturing Applications
Data
Equipment Model
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Equipment model value chain Fundamental concept for application integration
Control Connect Collaborate Visualize Analyze Optimize
EDA Model (SEMI E164)
High-Volume Factory Ops
Pilot Factory
Operations
Process Engineering
Equipment Developers
Equipment Components
Cimetrix Software
Standardized Equipment
Models KPIs (metrics)
• Time to money
• Yield
• Productivity
• Throughput
• Cycle time
• Capacity
• Scrap rate
• EHS
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SEMI Standards support Why is E164* so important?
• Consistent implementations of GEM300
• Commonality across equipment types
• Automation of data collection processes
• Less work to interpret collected data
• Enables true “plug and play” applications
• Major increases in engineering efficiency
E164 is to EDA what GEM was to SECS-II
* EDA Common Metadata standard
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Equipment data management Integrated production system architecture
GEM/EDA Gateway
HSMS / HTTP
Equipment Gateways
GEM/EDA Gateway
SOA
MES
YMS
APC, RMS
Factory Information and Control Systems
Process Data
Storage
AMHS
EDA/GEM Time-Series
DB
Equipment Data Mgmt
Support
Data Mgmt Config
MES, RMS,
Other DB CMP
Furnace
Tool Etch
CVD
New Mfg Applications
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Equipment data management Major system components
• Model Manager
• Plan Manager
• Equipment Gateway
• Data Mapper
• Data Router
• Data Repository
• Data Scope
• Synchronization Engine
• Performance Monitor
• Administrator Toolkit
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New manufacturing applications Current leading edge
• Real-time throughput monitoring
• Precision FDC feature extraction
• Specialty sensor data access
• Fleet matching and management
• eOCAP execution support
• Sub-fab data integration/analysis
• Automated equipment characterization
Wide range of stakeholder coverage
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Application example Real-time throughput monitoring
• Problem statement
• Monitor bottleneck (e.g., litho) tool throughput performance to know when it drifts away from “normal” for whatever reason
• This is important because any loss of throughput ripples throughout the line
• Solution components
• Monitor events and calculate process time “on the fly”
• Evaluate context to compare “equivalent” runs; flag outliers
• Equipment model leverage
• Standard material movement and recipe execution events
• Context available at event occurrence
• Key ROI factors
• Cycle time, productivity excursion MTTD (50% reduction), equipment throughput improvement (3-5%)
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Real-time throughput monitoring SEMI E90 state machines and model
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•謝謝
•감사합니다
• Merci
• Danke
•多謝
•ありがとうございます
• Gracias
Thank you