“ ”
Devices & Services
Strategy in Manufacturing
- Realizing IoT and Case studies
July 15, 2014
Taketoshi Hamaguchi
Sr. Group Manager
Industry Solutions
Microsoft Japan
“Connected” transforms Manufacturing
Key factors for business transformation
Major Trends in Information Technology
58%
of new IT investments will directly involve business executives
in 2013
80%
of new IT investments will directly involve business executives by 2016
70%
of CIOs will embrace a cloud first strategy in 2016 Businesses must employ a connectedstrategy—across mobile, social, cloud,
and information—to remain competitive
mobile
social cloud
information
#1 tech priority
for both IT execs and BDMs: “Improve
the use of and analyticsto improve business decisions and outcomes”
data
Internet of things
“Smart” assets will make processes more efficient, give products new capabilities, and spark novel business models
Mobile devices:
new primary design
point for end-user
access
Apps
85%
ofCxOs
view IT department as key resource for achieving strategic goals
From Systems of Record to Systems of Engagement
Social
Mobility
Big Data
Cloud
Products
Customers
Suppliers
Production
Engineering
Sales
Business
Value
Procurement
After Services
Service Providers
Retailer・Dealers
Product Planning
Services
Users
Partners
Monodukuri
Shop Floor,
Engineering, Suppliers,
OEM, Customers,
End-Users
People
Products, WIP, Parts,
Equipment, Devices,
Resources
Products
Visualize & Improve
people, Products &
Process on Value Chain
Information
Business Process,
Operational Flow,
Automation
Process
Process
Chain
Microsoft Point of Views for IoT
The Internet of Things starts with
Your Things.
•
Build on the infrastructure you already have.
•
Add more devices to the ones you already own.
•
Get more from the data that already exists.
Stop just running your business.
Start making it thrive. Start realizing the
potential of the Internet of
Your Things
.
Microsoft Point of Views for IoT
Create new biz
value from new
insights
Get new
insights by
combining data
New Devices, Services and Data Expansion
Launch quickly
with Cloud
Start From
Existing Things
and
Infrastructures
Devices
ICT Technologies to realize IoT
Origin of Data
State & Movement of human and thingsPre-Processing
data and
Management
Picking-up and Record data Characteristics or delete Record raw-data Human’s BrainAdd more
value to data
Source of
Data
Sensor & Devices
Aggregate
Data
DevicesExpression
Giving hints
Search/Refine/Classify/Pull-out Creating reports Feedbacks External Systems Networks & InterfacesCreate Value
Transform Business modelsTransform operations of manufacturing machines and systems Transform decision making process and behaviorRecord transactions and files
Index & Associate Calculation Statistics Machine Learning
Data Processing
(Collection/
Storage/
Analytics)
Data Usage
Windows Embedded Family
Windows Embedded
Compact 2013
Windows Server 2012 R2
for Embedded Systems
Appliance Servers
Windows Embedded 8 Standard
Windows Embedded 8.1 Industry
Windows Embedded 8.1 Pro
Kiosk Entertainment ATM
FA Devices
POS Devices Medical Devices Digital Signage Thin-Client MFP
Handheld Small Retail Devices
Windows Embedded 8.1
Handheld
Microsoft SQL Server 2014
for Embedded Systems
Large
Middle
Small
Micro
MS Embedded Platform
On Devices
.NET Micro Framework
Gadgeteer
.NET Micro Framework
Enable to develop control software for
small embedded devices as easy as to do
for PC apps
Able to develop by C# or VB with Visual
Studio
Able to porting to various H/W & OS
Work on small memory size
Open Source Farmware
Provided “.Net Gadgeteer”
for easy start-up
Azure Intelligent Systems Service
Third-party/ Custom Portals
Intelligent Systems Service Operator Portal Complex Event Processing Engine SDK Microsoft-provided Analytics and Visualization • Business Rules • Alarm Engine
• Alerts and Notifications • LoB Integration
• Command and Control • Device Grouping • Administration • Device Registry
Device Administration
Data Storage • Azure Tables
• BLOB • Azure SQL Database OData Third-party Analytics and Visualization SDK OData OData 0011010111000101 0011010111000101
Intelligent Systems Service
Device Actions through Agent Capabilities Command and Control
Data Ingress Data Processing Data Egress
• Apply Updates • Deliver Content and Commands Agent 0011010111000101 Agent 0011010111000101 Agent Agent • Accepts Commands • Selectivity Transmits Data
0011010111000101 0011010111000101 95 3:00 PM 25% humidity 70 preset REST WS-* REST WS-* REST WS-*
Creating maintenance service business model by using machine data
• Fracturing Vehicle’s operational loss
gave $3-4K revenue per day
• Maintenance cost was high (Oil Filter need to be replaced every 200-400 hours and complete engine rebuild is required after 4,000 to 7,000 hours)
• Need to have service staffs proportional to number of equipment
Gathering state data for each
part of vehicle into Microsoft Azure
Providing salable and secure
maintenance services by visibility and analysis of machine state regardless of numbers of vehicles
Mobile device can help to watch
operational state anywhere
• Create new business as predictive
maintenance services with highly cost effectiveness
• Being able to capture and analyze
machine status over the world, MG Bryan realized to get high OEE, to reduce maintenance parts inventory and cost for service staffs
• Getting trustworthy to vehicles because of warranty for
preservation
Leveraged customer values and realized operational efficiency
“Leveraging the cloud, we can cost-effectively keep tabs on our equipment and help customers maximize asset uptime
“
Matt Bryan
President, M.G. Bryan
M.G. Bryan – Service Stacks
Generic Internet
PC/Tablet/Phone
•Receive alerts •Visualize and analyze
Ruggedized Windows XP MicroLogix 1400 Sierra 3G Wireless GX400 Radio Cloud Gateway •JAVA stack •Headless client Fracking Truck Performance analysis clients Vantage Point - cloud
Rockwell cloud
platform JSON Web serviceextensions
Federated security services
Core services Application services Presentation services
Case Study : Connected Car
Used SQL Server & StreamInsight
for Analysis of location, driving
path & charging information
Machine Learning Sample:
Smart Elevator
Case Study
Manufacturing Real-Time Visibility & Kaizen by using Machine data
• Being unable to make visible
throughout whole production process, due to Low occupancy rate in multi-product production with small volume
• Kaizen depends on experience and
feelings of veteran operators
• Needed to call machine vendors when troubles happened because machine data were used for just checking run/stop time for field
• Set relations and meanings to
machine data by using product ID
• Graphs by Excel/ SQL Server BI,
which show relationship between process flows and events
• Accelerate problem findings and analysis with user friendly tools (Excel (Power Pivot) & Power BI) by field operators themselves
• Figured out new waste findings and Kaizen points even for veteran
• 1/6 time spend to find Kaizen points • Motivated field operators to use data
with showing visible impact for their own Kaizen activities
• Found to expand much bigger
occupancy rate, then expect +20% production volume
Self-Analysis with Excel/ SQL Server BI
pulls production line’s uptime much longer
”Today we can understand “reality of production lines” thru self-service analysis of machine data. Our workstyle has completely changed. Everybody will try new Kaizen actions aggressively.”
Mr. Katsumi Kouno Manager, Production Dept. Kusatsu Factory Omron Corporation
Sample:
Summary: ICT capabilities realizing IoT
2. Complex Event Processing (CEP) & monitoring rules
7. Machine Learning
1. Scale connectivity & data ingestion
3. Cloud Storage at geo-scale 4. Analytics processing (Big Data)
5.Business Intteligence
5. Business Intelligence
5.Business Intteligence
6. Customer & Service Management 6. Customer & Service Management
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The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.
