our world view - taiwan trade shows · 2018-11-05 · reliability and utilization to enable optimal...
TRANSCRIPT
Our World View
Compute power at the edge with silicon+ software + cloud
Billions of connected multi-sense devices on the intelligent edge
Seamless access to interactive data powered by the intelligent cloud
Microsoft Cloud Services 200+ Services · 1+ billion customers · 20+ million businesses · 90+ markets worldwide
50+ billion minutes of connections handled each month
18+ billion Active Directory authentications
per week
85% Fortune 500
users
250+ million
active users
2.4+ million emails per day
7+ billion worldwide queries each month
30+ trillion objects stored
48+ million users in 41
markets
50+ million active users
3.5+ million subscribers
400+ million active users
Microsoft - MT Sep2018
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68
Microsoft Will Invest $5bn in IoT
R&D Resource Partner Enablement Product
HIPAA /
HITECH Act FERPA
GxP
21 CFR Part 11
Singapore
MTCS
UK
G-Cloud
Australia
IRAP/CCSL
FISC Japan
New Zealand
GCIO
China
GB 18030
EU
Model Clauses
ENISA
IAF
Argentina
PDPA
Japan CS
Mark Gold
CDSA Shared
Assessments
Japan My
Number Act
FACT UK GLBA
Spain
ENS
PCI DSS
Level 1 MARS-E FFIEC
China
TRUCS
Canada
Privacy Laws
MPAA
Privacy
Shield
India
MeitY
Germany IT
Grundschutz
workbook
Spain
DPA
HITRUST IG Toolkit UK
China
DJCP
ITAR Section 508
VPAT SP 800-171 FIPS 140-2
High
JAB P-ATO CJIS
DoD DISA
SRG Level 2
DoD DISA
SRG Level 4 IRS 1075
DoD DISA
SRG Level 5
Moderate
JAB P-ATO
GLO
BA
L
US
GO
V
IND
US
TR
Y
REG
ION
AL
ISO 27001
SOC 1
Type 2 ISO 27018 CSA STAR
Self-Assessment
ISO 27017 SOC 2
Type 2 SOC 3 ISO 22301
CSA STAR
Certification
CSA STAR
Attestation
ISO 9001
Azure has the deepest and most comprehensive compliance coverage in the industry
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“我們在Azure上開發最新的5奈米SRAM製程，我們對結果感到非常滿意。”
— Suk Lee 資深處長, 基礎建設行銷部, 台積電
挑戰
台積電希望在半導體製程代工上都擁有領先地位，但根據摩爾定律每18個月晶圓上電晶體密度就增加一倍，用來運算半導體製程所需要的基礎建設更是大量增加6倍，原來在地端的伺服器也沒辦法達到最佳化。
解決方案
台積電與電子設計大廠新思科技與益華電腦利用微軟Azure上的高速電腦運算 (Avere/Cyclecloud)架構在20分鐘之內大量建置10萬個虛擬運算元，大量的縮短了開發的時間。
助益
• 敏捷: 大量減少5奈米製程開發時程，提早9個月量產
• 彈性: 完整的前段到後段半導體IC開發流程在雲端實現。新創SiFive利用台積電28奈米製程3個月開發完64位元新型CPU架構開發。
• 最安全: 台積電與生態系夥伴矽智財在Azure全方位保護
Microsoft Confidential 8
微軟獲頒台積電年度雲端夥伴 一站式雲端半導體設計平台將顛覆半導體產業
Phases from Industry 1.0 to Industry 4.0
1 2 3 4 First Industrial Revolution: steam
power makes mechanical production
possible
(Late18th century)
Third Industrial Revolution : IT and
computer technology allow for more
manufacturing automation
(Beginning of the 1970s)
Fourth Industrial Revolution :
Internet of Things makes networked
manufacturing possible
(Since the 21th century)
Second industrial Revolution :
electric energy makes mass
production possible
(Beginning of the 20th century)
CONNECTED VALUE NETWORKS Transforming how products are designed,
manufactured, and sold
Achieve digital excellence
with connected products
and services
Plants and
supply chains of
the future
Smart product
innovation
Connected
marketing, sales,
and services
IoT enabling rich
connected consumer
experiences
Pervasive connectivity
enabling new offerings
and revenue
CONNECTED SERVICES AND EXPERIENCES Creating new business models
as a service provider
R&D,
Engineering
Production,
logistics
Marketing,
Sales & Service Consumer Business
Operational efficiency;
Reduction in maintenance
costs by 20-30%
Incremental earnings (EBIT)
improvement of 6-15%
New revenue opportunities for
manufacturer, optimal reaction
to market changes
Connected supply chain
networks that enable real time
supply chain visibility and
management – including
business insights
Connected plant or network
that identifies operating
patterns and trends to improve
reliability and utilization to
enable optimal performance
Connected line or plant that
provides visibility into asset
productivity and performance
metrics
Connected
Predictive
Cognitive
Three distinctive digital supply chain transformations
Expected
financial
impact
1
2 3
Supply Chain Visibility - Connected
Unlocks the power of your data to:
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Supply Chain Visibility - Architecture
Warehouse Management
Shop Floor Control System Transportation Management
Commerce Device Telemetry CRM
Product Catalog
Sales
Corporate systems
Point of Sales Freight Management
Enterprise Services
Supplier ERP
HD Insight
Event Hubs
Azure Data Lake
Azure Data Factory
Supply Chain Cloud
Supply Chain Services
Azure API Management
Microservices Azure Application Insights
Make (MDS)
Deliver
Care Dev/NPI
Finance
Source Plan
Supply Chain Partner Systems
Data & Advanced Analytics Platform
Transactional Systems (ERP, MES, WMS)
PDM
P
Manufacturing
Communication Layer
Communication Layer
Communication Layer
Enterprise & plant transformation Enterprise & Plant
Topology
ERP-Level Enterprise Resources
MES-Level Manufacturing Execution Systems
Control-Level Machine Controllers
Device-Level Sensors, Devices
Finance, HR, SCM, SRM, CRM …
Plant Schedules, Products, BOMs,
Routings, Quality, Performance …
HMI, SCADA, Alarms, Events,
Historians …
Automation Control, Safety, …
Information Systems
Responsive and dynamic cross-
industry Value Networks
Cross-plant performance,
coordination & flexibility
Production optimization &
reduced process costs
Intelligent equipment with
reduced failures & downtime
Enhanced
Data modeling preserves source context
Vendors can provide complete data model
of each product
Extendable Support New protocol
definition (Companion Specification)
BACNet | PLCopen | MDIS (Subsea
standard) | Others . . .
UA Clients can learn new structures from UA
servers upon connection
Vendor, Platform and OS Independent
Scalability for integrated networking from
smallest sensors to mainframes
Services oriented architecture (SOA)
independent of the transport method
Designed for time-series data transfer
Discoverable for available UA data sources
Large installed base and growing rapidly
2
1 3
Secure Design from group-up
The one and only recommendation for
‘communication’ layer by RAMI 4.0
Based on Security standards
Messaging signings | Encryption
Evolves as security technology evolves
Vendors /Users can choose level of security
Easily acceptable by IT departments
OPC UA for Industrie 4.0
Extensible Open Secure
ENABLE
productivity
with artificial
intelligence
ALIGN
partnerships
around a new
digital ecosystem
DRIVE
platform
interoperability across
the cloud continuum
Microsoft and OPC-UA
“What all this boils down to for users is easing the process of adopting IIoT and Industrie 4.0 initiatives.”
David Greenfield
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User experiences
Dashboards Mixed Reality Interactive speech Gestures
Preconfigured Azure IoT Suite and SaaS applications
Remote monitoring Predictive maintenance Connected factory Microsoft IoT Central
Analytics and artificial intelligence
HDInsight Machine Learning
Data Lake Analytics
Azure Time Series Insights
Bot Framework
Operations
Technology
Enterprise business processes
PLM ERP SCM CRM
Home
Smart Factory Blueprint
Edg
e A
naly
tics
D
evic
e A
gent
S
trea
m A
naly
tics
on
edg
e
Logic Apps
API integration
BizTalk Services
Azure Stack SQL Server
MES & Enterprise IT Business integration
Hot path analytics and application platform
Cold path analytics and storage
Stream Analytics Event Hubs Service Fabric (Actors) Functions
Data Factory DocumentDB SQL Database Data Lake Store
Field Gateway
Cloud Gateway
Azure IoT Gateway
Azure IoT
Hub
(device
provisioning)
Cognitive Services
L3: Mfg Ops
Mgmt, MES,
CAD, PLM
L2: Supervisory
Control,
Handheld,
HMI
L1: Plant
Control Hub,
DCS, IPC
L0: Physical
Equipment,
I/O, Devices,
Sensors
L4: Business
Planning
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Fast Start in minutes
Open Connect anything
Scalable Grow effortlessly
Secure End-to-end
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Azure Time Series Insights
Azure Machine Learning
Azure Stream Analytics
Cosmos DB Azure Data Lake
Azure Data Lake Analytics
Azure HD Insight Spark, Storm, Kafka
Azure Event Hubs
Microsoft Flow
Azure Logic Apps
Azure Event Grid
Azure Websites
Microsoft Power BI
Azure Maps
Azure IoT Hub
Azure IoT Hub Device Provisioning Service
Azure IoT Edge
Azure Monitor
Platform Services & Device Support
Edge Support Device Support
Azure Sphere
Windows 10 IoT Core
Azure IoT Device SDK
IoT Services Data & Analytics Services Visualization & Integration Services
IoT Solution Accelerators (PaaS)
IoT Solutions (SaaS)
Azure IoT Central IoT SaaS
Microsoft Connected Field Service Field Service SaaS
Remote Monitoring Predictive Maintenance Connected factory
Azure Certified for IoT
Azure IoT solution accelerators
AzureML
Azure Stream Analytics
Azure Cognitive Services
Azure Sphere Security Service
Azure Function Windows IoT Update Control
ABB
“Platform performance and stability are critical differentiators for the successful
operation of a modern, data-dependent EV charging station.”
Pekka Tiitinen
President, Discrete Automation and Motion Division, ABB
Objectives ABB needed to create fast-
charging electric vehicle
chargers to detect potential
issues and suggest next steps
for maintenance with users.
Tactics ABB used Microsoft cloud
and IoT technology
to monitor charging
station health, predict
issues and recommend
corrective measures
before the customer ever
feels the impact.
Results • Real-time visibility into
charger health
• Proactive maintenance via
machine learning and predictive
analysis
• Global scalability through
Microsoft cloud-based services
Predict issues before they happen
Azure IoT solution
accelerators
Dashboards, visualization and insights
Completely customizable
Command and control
Device connectivity and management
Predictive Maintenance
Connected Factory Remote Monitoring
Workflow automation and integration
Preconfigured solutions
End-to-end implementation
Device Simulation
Open-source microservices based architecture
Azure IoT Connected Factory
Azure IoT Gateway SDK
On-Premise: Device Connectivity Cloud: Data Ingestion & Processing, Command & Control Cloud: Presentation
Indu
stri
al D
evic
es
(OPC
-UA
Ser
vers
)
Hot Path Analytics
Azure Stream Analytics, Azure Storm, …
Azure IoT Hub
OPC Clients, Servers, ERP Portals,
OPC Graph Database and OPC UA .NET Standard Stack
JSON/AMQP UA Binary
Other Devices
OPC UA Client Module
IoT Proxy Module
UA Binary/AMQP
UA Binary
JSON/AMQP
Any
Firewall
Cold Path Analytics & Storage
Azure HD Insight, Azure Storage, SQL, DocDB, …
Presentation & Business Connections
Websites, Mobile Services
Dynamics, BizTalk Services, Notification Hubs
Microsoft
Dynamics
OPC UA Integration into Azure IoT
Engage customers Enable your employees
Optimize your operations Transform your products
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The Microsoft AI platform
Services
Infrastructure
Tools
1. Boost productivity by
modernizing the workplace
with automation and AI
2. Increase margins from
digital products and services
with intelligent business apps
3. Open new markets with
secure and intelligent edge
and cloud
4. Improve quality by detecting
process and product issues
proactively.
Jabil
Objectives Jabil wanted to better predict
errors or failures on the
assembly floor before they
occur, saving customers’ time
and money.
Tactics Jabil was able to
transform their
manufacturing production
lines with advanced
analytics solutions built
on Microsoft technology.
Results • Predicted machine processes
that will slow down or fail with an
80% accuracy
• Reduced costs of scrap and re-
work by 17%
• Delivered energy savings of 10%
Integrating predictive analytics with
real-time manufacturing
“We’ll be able to improve our efficiencies, cut costs, and decrease our lead times,
which tie directly to our customers’ requirement to increase flexibility.”
Matt Behringer
CIO, Enterprise Operations and Quality Systems, Jabil
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Results
• Predicted machine processes that will slow down
or fail with an 80% accuracy
• Reduced costs of scrap and re-work by 17%
• Delivered energy savings of 10%
Variation: 11% (tolerance ≤ 11%)
Vibration frequency: Too high
Bit wear: High
Result in plant 2: Failed
PREDICTED
FAILURE Recommended maintenance
in next 48 hours
PREVENTATIVE
MAINTENANCE
FOR TOMORROW
10 Tuesday October
7:00 AM
Tactics
Jabil was able to transform their manufacturing
production lines with advanced analytics solutions
built on Microsoft technology.
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CRM ERP MES SPC
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Objectives
Jabil wanted to better predict errors or failures on
the assembly floor before they occurred to save
customers’ time and money.
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PREDICTED FAILURE
IN NEXT 48 HOURS
Supplier data
Customer
data
Production
data
Historical data
Azure
Services Our rate of rejection has
decreased dramatically now
that we are able to predict
these failures early in the
process
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