AI scenarios for Manufacturing & Supply chain in 2020 · 2020. 5. 27. · Tutorial document Expert...
Transcript of AI scenarios for Manufacturing & Supply chain in 2020 · 2020. 5. 27. · Tutorial document Expert...
AI scenarios for Manufacturing & Supply chain in 2020
Dmytro Turchyn
Artificial Intelligence Product Marketing Lead,
Microsoft CEE
AI is Transforming the Manufacturing Industry
Increase customer specificity
& product variability
Predictive inventory management,
customized quoting and contracting.
Eroding Margins & Rising CostsIncreased operational efficiency, automatic asset
maintenance, and less asset replacements.
Growing skills gap & deteriorating assetsImproved reporting, more natural
interfaces, and efficient training.
Manufacturing: Key Transformational Scenarios
ConnectedField Service
Enable proactive
engagement throughout
the product lifecycle
Connected Salesand Service
Customize sales and services
to strengthen relationships
and loyalty
Factory ofthe Future
Leverage industrial IoT and
other smart technologies
for agile production
IntelligentSupply Chain
Optimize supply chain to
produce the right products
at the right time and price
What is Connected Field Service?Connected Field Service empowers manufacturers to transform their services and deepen customer loyalty.
Remote monitoringData collection and automatic action
Predictive maintenancePattern recognition and diagnosis
Smart interface Issue reporting and efficient employee guidance
Triage-by-complexityFlexible reactions from tutorials to expert referral
Tutorial document
Expert referral
AI in factory of the future
Next pickup: bin 5141
Bin 5139
Bin 5140
Bin 5141
9
Process optimization controls high speed processes
Autonomous vehicles/robots optimize
warehouse utilization
Machine calibration automates system
tuning
Smart systems enables process automation and optimization
Smart spaces transmits information on energy
consumption
Factory assistance provides operators with information
upon request
Predictive maintenance enables condition-based maintenance
Cognitive quality detects defects with image
recognition
Product traceability allows end-to-end
tracking
Health and safety mitigates and prevents
incident factories
Industrial robots/cobots adapt to
changing location
Siemens
Auto-tune CNC 30x faster with deep reinforcement learning
Jabil decreases false flags with intelligent optical inspections
Impact
8x increase in auto-approval rate
75% accuracy for false-positives
92% accuracy on defectives
Reduced costs of scrap and re-work
by 17%
Delivered energy savings of 10%
Safety CapabilitiesImage matching and object detection
Machine unsafe Zone violation Emotional response
Video evidence Safety gear absent Unauthorized access
Proactively prevent accidents
AI in intelligent supply chain
Inventory levels
452232111
Customer part no.
Customer location
10 week forecast Stock on hand
45245465
36525224
58744563
36225412
12545583
London
Zurich
Brazil
Singapore
Sydney
London
Understock
Understock
Over stock
Over stock
On track
On track
Increase supply level
Decrease supply level
102
352
521
124
346
356
Recommended adjustments
Steel price
Salvador product flow San diego product flow
Outsourced supplier options
• Nabtech corporation
• Commonwealth aero
• GRS aerospace
• DandC engineering
• Advanced
electronics, ltd.
• Apex industries
• Eastern aircraft tires
• Fabritech ab
Outsourced supplier options
Mombasa product flow Hamburg product flow
New distribution center options
Marketing event timeline
Projected production levels
Planning Demand forecast
Region CategoriesAsia Automobile
Q4Q3Q2Q1
Demand forecasting predicts future demand with AI
Predictive and cognitive quality, yield uncovers defects through
image recognition
Inventory planning and optimization spans across
multiple echelon and location
Warehouse automation optimizes warehouse
utilization
Sourcing and procurement enhances spend analytics,
contracting, and BOM management
Supply chain visibility and orchestration drives agility,
responsiveness, and flexibility
Integrated track and trace enables product
tracking
Integrated business planning empowers businesses with
prescriptive analytics
Application: Dynamic Network Management
An integrated Global Platform to
visualize our Global Network.
Millions of supply chain data points,
both internally and externally, are
being processed in real time through
a data science model and displayed.
The foundation for machine learning
and predictive analytics delivery
performance.
35+ ELD AGGREGATORS/
GLOBAL GPS PROVIDER
ALL VESSEL
VOYAGES GLOBALLY
CELL PHONE
TRIANGULATION
4.5 million/month
ELECTRONIC DATA
INTERCHANGE
11K customers
3.5K Carriers
ALL FLIGHTS
GLOBALLY
Machine Learning and Predictive Analytics
As the supply chain industry
moves forward and the
Internet of Things continues its
expansion, the ability to
consume, combine, and
analyze data from growing
number of integrations is
essential
Machine Learning and Artificial
Intelligence methodologies
need to be incorporated to
create predictive capabilities
that evolve and improve over
time
Live Route Calculation
Predictive ETA using Data Science Model
Push Notifications to Customers/Stakeholder
Kazakhstan RailwaysOptimization of rail logistic of oil & gas products, using Azure ML model to forecast demand and time.
▪ Improved forecasts for tanks availability
▪ Reduced empty runs
▪ Operational costs have been reduced on 17%
Partner Enabled Scenarios
16
AI in industrial IoT summaryUse cases
Product-as-a-service
Factory of the future
Intelligent supply chain
Industrial IoT
Factory
assistance
Predictive
maintenance
Cognitive
quality
Product
traceability
Industrial
robots/cobots
Process
optimization
Autonomous
vehicles/
robots
Machine
calibrationSmart systems Smart spaces
Health and
safety
Cognitive
service alerts
Predictive
anomaly
detection
Tuned and
optimized AI
models
Service bots
Automatic part
detectionSmart devices
Guided service
workflow
Upsell and cross
sell
opportunities
Smart routing
Service history
insights
Sourcing and
procurement
Supply chain
visibility and
orchestration
Inventory
planning and
optimization
Demand
forecasting
Integrated track
and trace
Predictive and
cognitive
quality, yield
Integrated
business
planning
Warehouse
automation
Happiness
Meaningful
Innovation
Empowering
PeopleResponsible AI
Principles >Practices >Tools
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Protectpeople and their data
Controlend-to-end ML process
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