cognitive enterprise · cognitive enterprise . reinventing your fabs with ai. september 19, 2019....
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COGNITIVE ENTERPRISEREINVENTING YOUR FABS WITH AI
Ryuhichiroh Hattori
IBM Industry Academy memberPartner, Global Center of Competence ElectronicsIBM Global Business Services
Cognitive Enterprise Reinventing your fabs with AI
September 19, 2019
Ryuhichiroh Hattori
IBM Industry Academy memberPartner, Global Center of Competence ElectronicsIBM Global Business Services
3 IBM Research © 2019 IBM Corporation
4Copyright © 2016 IBM All rights reserved. 4
CURRENT STATUS AT 300MM WAFER FABS ?
01 01 Current status at 300mm wafer fabs ?
04 Facility Management with AI
AGENDA
02 IBM Cognitive Enterprise
03 Cognitive Enterprise for 300mm wafer fabs
5
Smart Factory implementation has started at 300mm wafer fabs since 2000s,Sense & Respond workflow scenarios increased the level of automation, Leverage of AI and big data has been started, but it’s still limited.
200mm 300mm
IT
Automation
GEM
Intra-Bay(Cassette)
• GEM300
• AMHS(FOUP)
• ARHS(Reticle)
SECS
Inter-Bay(Cassette)
Real-time
Lot Single Wafer
EWR
NPW
Sense&Respond
Workflow
Yield
Online
SPC
APC/FDC
Quality
Actual Data Collection
Spec Check
Static Routing
Proc Recipe
技術仕様管理
Status Ctl
Lot sch
Cycle time
MasterData
POP(By Lot)
1990s 2000s 2010s 2020s
APC/AEC I/F
・・・・・・
Dynamic Routing
・・・・・・
Dynamic EC
・・・・・・
・・・・・・
・・・・・・
Multi Lot/carrier
Planned Split/Merge
Master Data
POP(By Wafer)
EES APC/AEC IFDynamic EC
Smart Factory
Big DataIoTAI
Smart Factory ImplementationCognitive Enterprise
Cognitive Enterprise
Scalable AIDigitalTwinSimulation
Hybrid Cloud
Big DataData MiningMLVirtual Metrology
Scalable AIDigitalTwinSimulationHybrid Cloud
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Internal Semiconductor Solution Development 2005 - 19
IBM Research © 2019 IBM Corporation
Production Planning and Scheduling(Manufacturing Operations users)
1. Range Break Optimization2. AMHS Load Estimation3. WIP Simulation 4. Maintenance Scheduling5. Capacitated Range Management6. Optimized Sector Scheduling7. Operations Simulation / Optimization
Yield Enhancement and Product Quality Control(Process, Integration, and Product Engineering users)
1. Manufacturing History Data Mining (Chamber signals)2. Large Scale Data Monitoring (Reduce SPC false alarms) 3. Trace Based Tool Stability & Matching4. Trace Based Wafer Diagnosis5. Trace Based Predictions (Virtual Metrology, Maintenance) 6. Wafer Performance Predictor7. Real Time FDC Enhancements8. Memory Array Failure Pattern Analysis9. Performance Based Chamber Matching10. Comprehensive trace data monitoring 11. Lithographic source anomaly detection12. Etch chamber state assessment13. Deposition virtual metrology
Comprehensive Trace Analysis Complementing FDC
Leverage of AI and big data is now shifting to “Trusted & Scalable AI” with comprehensive result from automation of AI and big data analytics execution.
7 7
IBM COGNITIVE ENTERPRISE
02 01 Current status at 300mm wafer fabs ?
04 Facility Management with AI
AGENDA
02 IBM Cognitive Enterprise
03 Cognitive Enterprise for 300mm wafer fabs
8
IBM Cognitive Enterprise
White paper downloadhttps://www.ibm.com/thought-leadership/institute-business-value/report/cognitive-enterprise
9 9
COGNITIVE ENTERPRISEFOR 300MM WAFER FABS
03 01 Current status at 300mm wafer fabs ?
04 Facility Management with AI
AGENDA
02 IBM Cognitive Enterprise
03 Cognitive Enterprise for 300mm wafer fabs
10
At 300mm wafer fabs in Chapter2
Scalable AI on hybrid cloud embedded in the business process of fab operations and engineer works
DigitalTwin of fabs is Trusted , Real-Time and Scalable data platform for AI
Mission critical CIM applications modernization tocloud applications on Hybrid cloud
Digital ReinventionTM at 300mm wafer fabs in Chapter2
11
DigitalTwin of 300mm FabsReal-time runtime 300mm Fab
Real-time runtime 300mm FabReal-time runtime 300mm Fab
Physical 300mm Fabs
Mission critical CIM applications
analyze
monitor
simulate
Synchronize
Actions
• High speed simulation
• Deep learning• Big data
analytics
MES MESDB
MES MESDB
MES MESDB
Multiple Physical Fabs
Mission critical CIM applicationsmodernization to cloud
Trusted , Real-time and Scalable data platform for AI
Repository
DigitalTwin Data Platform
Local DigitalTwin
Local DigitalTwin
Local DigitalTwin
EnterpriseDigitalTwin
Big Data
Scalable AI platform on hybrid cloud
Private Cloud
IBM HPCaaS / Quantum
IBM Watson Cloud ServicesAWS Cloud ServicesGoogle Cloud Services
Scalable AI on hybrid cloud embedded in the business process of fab operations and engineer works
Open InnovationCollaboration
(eg. Eqp Suppliers)
DigitalTwin of 300mm Fabs is the Cognitive Enterprise platform for 300mm wafer fabs
Digital Twin simulationbased predictive decision
Privacy Preserving AI
1212 IBM Research © 2019 IBM Corporation
SROM: AI for Microelectronic Manufacturing via Hybrid Cloud
SROM Powered AI Solutions for Microelectronic Manufacturing
and Development via Hybrid CloudSROM Differentiation
1. Complex Industrial Manufacturing Semantics2. Advanced AI & Machine Learning (GMM, LSTM, Cohort Analyses, …)3. Scalable Big Data Solution Platform
Microelectronic Analytics Expertise1. Detection of abnormal events & product quality2. Diagnoses of aberrant events & product3. Prediction of yield, quality, & throughput4. Operations optimization
SROM: Smarter Resources and Operations Management
1313 IBM Research © 2019 IBM Corporation
Multi-Cloud Hybrid Cloud Deployment – AI ApplicationsCohort DiscoverySparse Gaussian Sparse Mixture Model
SROM (AI for Mfg)
• Anomaly detection
• Failure pattern analysis
• Root cause analysis
• Survival analysis
• Cohort analysis
• Process optimization
Deployment Mode
IBM Cloud Pak(Kubernetes [k8s])
Watson Studio Add On(docker containers)
Jupyter container
Spark container
Spark container
Spark container
Watson Cloud Services (e.g. Watson API, AI for Mfg)
Permanent shared mount SROM
Deploy trained model
Model deployment
container
AWS Cloud Services
Google Cloud Services
Azure Cloud Services
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DigitalTwin simulation based predictive decision support by AI on IBM cloud services (HPC/Quantum) will increase fabs operation efficiency
Common challenge at 300mm Semiconductor
manufacturers
• Complexity of dispatching WIP Lots across multiple Fabs becomes higher and higher.
• Advanced technology node increases uncertainty
• Difficult to predict near future fab output whether fabs can meet the business target (ex. monthly shipment target, on-time delivery ratio)
AI generates and executes multiple simulation cases and evaluates the results, then recommend actions.
SiView MES
Fab SimulatorIoT apps
Fab output & bottleneck prediction based on learning from simulations
AI
Fine-grained modelHigh speed parallel simulation by using public HPCaaS
SiView RTD
IBM HPC/QuantumCloud Services
DigitalTwin simulation based predictive decision support
Case1
Case2
DispatchingStrategy
ExecuteActionsrecommended by AIPhysical
FabsManagement decisions to commit shipment plan
Fab Simulator
Fab Simulator
Fab Simulator
SiView RTD
Case3
Case4
SiView RTD
SiView RTD
SiView RTD
1515
Autonomic operations
Adaptive operational processesand workflows will continuously learn and be autonomic
1616
FACILITY MANAGEMENT WITH AI
04 01 Current status at 300mm wafer fabs ?
04 Facility Management with AI
AGENDA
02 IBM Cognitive Enterprise
03 Cognitive Enterprise for 300mm wafer fabs
17
300mm Fabs Facility Management System is enhanced with Analytics and AI
Planning & Scheduling
Execution
Plan
Assist
Monitor Predict
APM(Asset Performance Management)
Decision Optimization
EAM (Enterprise Asset Management)
Maintenance Execution
APM enhances EAM foundation with Analytics and AI
18
DigitalTwin of 300mm FabsReal-time runtime 300mm Fab
Real-time runtime 300mm FabReal-time runtime 300mm Fab
Physical 300mm Fabs
EAM
analyze
monitor
simulate
• High speed simulation
• Deep learning• Big data
analytics
EAM EAMDB
Multiple Physical Fabs
Trusted , Real-time and Scalable data platform for AI
Repository
DigitalTwin Data Platform
Local DigitalTwin
Local DigitalTwin
Local DigitalTwin
EnterpriseDigitalTwin
Big Data
Scalable AI platform on hybrid cloud
Private Cloud
IBM HPCaaS / Quantum
IBM Watson Cloud ServicesAWS Cloud ServicesGoogle Cloud Services
Scalable AI on hybrid cloud embedded in the business process of fab operations and engineer works
Digital Twin simulationbased predictive decision
Privacy Preserving AI
Open InnovationCollaboration
(eg. Facility Suppliers)
DigitalTwin platform for Facility Management at 300mm fabs
APMSynchronize
Actions
Centralized Enterprise Asset Management for facilities of 300mm wafer fabs
Improved User Experience
Pervasive Interconnectivity
IoT devices (eg: Wearables)AI assistanceConversational UIAugmented reality
19 IBM Watson IoT / © 2019 IBM Corporation
What does the Future of Work look like for Technician ?
Execute work orders more efficiently and complete tasks right the first time - safely
Use voice to check and execute work orders
Capture pictures of findings using phone
AI guidance to ask questions regarding issues
Connect with remote expert
Continual training of AI knowledge base
Digital assistant to ask questions
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Technician of the Future….is here today
IBM Watson IoT / © 2019 IBM Corporation
Location Intelligence
IoT Platform & Wearables
Reimagined UX
Mobile
Technician of the Future
Reimagined core user experiences for different personasMaximo WorkCenters
Connected and disconnected native mobile supportAnywhere Mobile
AI-powered digital assistant for the field technicianEquipment Maintenance Assistant
AR-enabled interaction between an expert and field techMaximo Augmented Collaboration
Worker InsightsEnsure your employees are safe wherever they are
21
Work Execution Work Center
Focus on the work you need to know about now, no matter what device you have in your hands
Quickly report on items and materials used
IBM Watson IoT / © 2019 IBM Corporationc
22 IBM Watson IoT / © 2019 IBM Corporationc
Ask questions in natural language
Quickly retrieve passages and documents from structured and
unstructured sources
Generate measurable businessvalue
????
???
??
Standardize your repair processes
Customer Satisfaction
Reduce mean time to repair and improve
first time fix, reducing repair costs
Equipment Maintenance Assistant Studio
Equipment Maintenance Assistant An AI assistant for your field service teams
23 IBM Watson IoT / © 2019 IBM Corporation
How our technology differsfrom off-the shelf solutions
Technician and expert views
Launched from a Maximo Work order
Session details saved in the Maximo Work order for self guidance
Technician viewExpert view
Builds AR content for complex environments with peer guidance
Technician view
Maximo Augmented CollaborationBringing expertise in real-time to the jobsite
IBM Watson IoT / © 2019 IBM Corporationc23
24 IBM Watson IoT / © 2019 IBM Corporationc
Worker Insights SaaS on IBM Cloud
WearablesSensors
Real-time and historical dashboard(Senior Management / Executive View)
Dashboard / KPI’s / Monitoring
Supervisor Mobile App
Maximo HSE Integration
Maximo Worker Insights Overview
WorkerMobile App
Partner Edge
Gateways
IoT Platform
&
ExtensibleIndustryAnalytics
Edge
EdgeWeather
&3rd Party Data
Hazard Detection
2525
IBM Garage
25Think
Envision Future StateEstablish & Pr ior it ize Id ea BacklogBui ld PrototypeProve PrototypeBui ld POCProve POC
Design Thinking WorkshopEnd User Testing
Bui ld PrototypeBui ld POCUse CasesPlaybacks
Def ine Value Dr iversProve PrototypeProve POCCompet it ive AnalysisOp erat ing Model Assessment
TransformArchitect MVPBui ld MVP & IteratePlaybacksUse Cases Story Backlog
Design MVPProve HypothesisEnd User TestingIncorporate Feedback
Bui ld MVP & IterateMVP Runbook
Prove Hypothesis Red esigned Bus iness ModelBus iness Canvas ModelTarget Op erating Model
ThriveCont inuous Dep loymentMVP1MVP2Prod uction ArchitecturePlaybacksStory log up d ated
End User TestingDesign Op timizationIdea Log updated
Dep loyArchitectureSecur ity & Comp liance
Value Forecast & PlanValue to Cap abil i ty MapEnterpr ise Change Ad op tion PlanDigi tal L abor & Change Management Plan
IBM Engagement Model
The practices, architectures and toolchains cover the entire product lifecycle from inception through capturing and responding to customer feedback and market changes.
SUMMARY• Semiconductor 300mm wafer fabs has implemented Smart Factory
since 2000s and the level of automation has become higher and higher by continuous addition of event driven automation scenario on workflow engine. Leverage of AI and big data analytics has been started at most of 300mm wafer fabs, but it’s still limited to get big benefit.
• “Trusted & Scalable AI” is key direction of AI for massive usage of AI.
• 300mm wafer fabs are also ready to move to Digital Reinvention Chapter-2 Cognitive Enterprise transformation.
• DigitalTwin platform is key business platform and it consists ofDigitalTwin data platform and Scalable AI platform on hybrid cloudon top of modernized mission critical applications on hybrid cloud.
• Facility management at 300mm wafer fabs is also ready to move to Chapter-2 Cognitive Enterprise on DigitalTwin platform with improved user experience to support technicians by pervasive interconnectivity with AI / expert assistance.
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QUESTIONS AND FURTHER DISCUSSION ?
Email [email protected]
Phone +81 50 3150 5458
LinkedIn https://www.linkedin.com/in/ryuhichiroh-hattori-11374028/