Restricted © Siemens AG 2017
Realize innovation.Digital Enterprise Suite –
Siemens’ answer to customer requirements
MindSphere
Totally Integrated
Automation Product Lifecycle
Management
Manufacturing
Operations Management
TeamcenterTechnological Forces Transforming the Digital Enterprise
Changing
the way
products
come to life
GENERATIVE
DESIGN
SYSTEMS-DRIVEN
DEVELOPMENT
MODEL-BASED
ENGINEERING
Changing
the way
products
are realized
MACHINE
LEARNING
ADDITIVE
MANUFACTURING
ADVANCED
ROBOTICS
Changing
the way
products
evolve
CLOUD
TECHNOLOGY
KNOWLEDGE
AUTOMATION
BIG DATA
ANALYTICS
How can Siemens help?
Faster time to value with lower cost of ownership
Investments protection through upgrade continuity Openness for maximum elasticity
System scalability for rapid response
to changes
Flexible delivery
models
The Siemens Difference
The Digital Enterprise Software Suite
Plant Data Services
Product Design and Engineering
NX Solid Edge Fibersim
Collaboration and Lifecycle Management
Teamcenter
Digital Manufacturing
Tecnomatix
NX CAM
Manufacturing Execution System
SIMATIC IT Camstar
Quality Management System
QMS
SCADA
Automation Engineering
TIA Portal
SIMATIC/ SINUMERIK/SINAMICS/ SIRIUS
Lifecycle Analytics
Simcenter
MindSphere (Plant) Omneo (Product)
PLM
MOM
TIA
APS
SIMATIC IT Preactor
Manufacturing Intelligence
MI
Manufacturing Execution System MOM Portfolio overview
Manufacturing Intelligence Performance Management SIMATIC IT Line
Monitoring System
SIMATIC IT Intelligence Suite
Specification Management Laboratory Information Advanced Planning
& Scheduling SIMATIC IT Preactor
Advanced Planning
SIMATIC IT Preactor
Advanced Scheduling
QMS
Professional
CALVIN
Measurement System Analysis, Gage & Calibration
QMS
Automotive
Compliant Pro
Quality Management System Manufacturing Operation Management Portfolio
SIMATIC IT R&D Suite
Medical Devices & Diagnostic Semiconductor Electronics
Automobile,machinery (only with QMS)SIMATIC IT Unilab
CAMSTAR
Medical Device Suite
CAMSTAR
Semiconductor Suite
SIMATIC IT Unicam SIMATIC IT Test Expert
SIMATIC IT eMES
CAMSTAR
Enterprise Platform
Prisma
CAMSTAR Electronics Suite
SIMATIC IT
Batch Integration Layer
SIMATIC IT eBR
SIMATIC IT UA Gateway
Automobile, Machinery, Aerospace & Complex Mfg Chemical
Consumer Products Food & Beverage Pharmaceuticals & Cosmetic
SIMATIC IT UA for Process Industries
SIMATIC IT UA Foundation SIMATIC IT UA Discrete
Manufacturing
SIMATIC IT Production Suite
IaaS, Managed Deployments, Subscription
ADMINISTRATION
SUBSCRIPTION Step 1: IaaS -Remove Capitial Expense; Operating Expense
▪Leverage on-premise private cloud style deployments in off-premise private clouds
Step 2: Train Distributors and customers to host off-premise
▪Removes delays in hardware acquisition ▪Removes delays in training admin expertise
▪Reduce costs by having experts “run” the deployment; install patches;
upgrade to new versions
Step 3: Remove up-front license costs
▪Add support for subscription licensing
Adaptive System
We Offer Flexible Solution Options
on cloud
on premise
Infrastructure as a Service
Software as a Service
Customer Options
IaaS
Managed Service
SaaS
Managed Service
In a nutshell, customers of all sizes are looking for the following benefits…
•Lower Total Cost of Ownership
•Always on at scale
•Easy access to latest functionality •Better collaboration
•Productivity anywhere
As enterprise businesses looking for agility and reduced spending on IT, Siemens has the opportunity to capture additional revenue through SaaS
Does imply a significant business investment and transformation
Cloud First requires R&D transformation
•Deployment automation •Multi-region deployments •Automated Backup/Recovery •Disaster recovery strategy
•Cloud Security layers (Boundary, patching, security monitoring/alerts) •Security Automation and Testing
•High availability (no single point of failure)•Network architecture, active directory joins, Siemens PL Naming standards, etc.•Procedures for access and support defined
•
Product support organization ready to provide cloud support
•
Enablement materials for sales, services developed
•Full SDLC -leveraging automated CI/CD •Supports scalable database technologies •Application is stateless (session information stored externally)
•Standard API access points for all
services (CLI, Portal) with documentation •
Supports a single version deployment (upgrades are incremental, rapid, scalable)
•
Overarching Structure to ensure
standards and allow individual team agility
•Multi-tenant •Scalability
•Zero footprint client
•Supports automation of tenant lifecycle and other processes
•Meets Siemens cloud deployment, patching and upgrade requirements •Supports health check monitors
•Supports customization through UI-driven configuration
•Required integrations HTTPS/SFTP
•No dependency on server access to local devices (ex printers)•Supports auto-scaling
•
Security and Infrastructure automation (DevSecOps)
Application Journey
Traditional
Cloud Native
Lift and Shift
(Use the cloud as infrastructure)
Cloud Native
(Use the cloud as a platform)
Q4 CY 20171 HY 2 HY
CY 2019
Lift and Shift (Platform Certification)•CEP
•SIT UA
•R&D Suite
•QMS Pro •Preactor
Manufacturing intelligence
and next OEE
•MI as native cloud
implementation
•Next OEE as native cloud
implementation
QMS as Managed Service
•FMEA management
•Audit management
•CCM management
APS and MES native cloud
•APS Planning
•APS Scheduling
•First MES core functions
R&D suite as Managed Service
•R&D suite 7.2 as SaaS offering as
managed service
MOM microservices Consumption of PL microservices AWS microservices
CY 2018
Lift & Shift Previews
MOM Lift-and-Shift Progress
Simatic IT UA on AWS:
https://situaf.momoncloud.com
https://simaticit-uadm.momoncloud.com CEP on AWS:
https://cep.momcloud9.com
R&D Suite on AWS:
https://demo.rds.momoncloud.com Preactor on AppStream2
Compliant Pro on AWS
QMS on AppStream2
Hosted Compliant Pro:Simatic IT UA
Though we don’t have plans to force existing customers to the Cloud, we do play to offer opportunities for you to give us feedback on software currently under constructionSIT UA DM
Early Customer Involvement Program OverviewEarly Customer Involvement versus “Beta”
Beta Software Characteristics
•Software is prepared and “posted”
•Requires Install manuals
•Requires Install TDOC, etc.
•Upgrade has to work
•Customers download the software
•Need to identify and allocate servers
•Need to allocate IT staff to install & configure
This is a big burden upon the customer, and you are asking them to spend significant resources to use a Beta release with lots of IT hurdles ECI Characteristics
•No software posted for download
•All server management done by Siemens •All software loaded on AWS for global access •Clients should be “zero install” browser based •No applets; no plug-ins
•All data / upgrade challenges are “ours”
ECI involvement can go viral, because:•Anyone can login that we invite
•No IT burdens
•No bureaucracy
•Globally accessibleECI Program
Overview
Test drive working increments on a Siemens PL hosted cloud environment and provide feedback
•Login and test drive new capabilities as they are developed
•Attend Design & Innovation workshops and collaborate on future capabilities •Give feedback/suggestions for improvement directly to product management Purpose:
•Help ensure the software is “fit for use”
•Provide guidance for future releases
•Help prioritize functionalities
Requirements:
•Time Commitment –3-4 hours a month per user
•HTML5 Capable Browser (Versions TBD)
SIT UA DM ECI Program
Put a build of UA DM on the Cloud every month (the best one available) Requires “real data” in the deployment
•Even though the primary driver is to get feedback from existing customers, there are other drivers:
•Pre-sales can leverage with key prospects
•Gives anyone that want to have 24x7 access to UA DMManufacturing Intelligence Strategy & Vision
Collect MOM data and share to the entire enterprise
Cloud
On-premises
Data Integration, Data Analytics and Reporting for Operational and Enterprise Intelligence
SIMATIC IT MES
SIMATIC IT Preactor APS
Camstar
QMS
SIMATIC IT R&D
SIMATIC IT UniCam
MENTOR / Valor
MindSphere
Global Visibility
Gain visibility into every machine, line, and plant throughout your enterprise
Quality
Improve first-pass yield, reduce scrap, and identify the root cause of quality issues
Productivity
Improve OEE, increase throughput, and optimize asset utilization, time, labor, etc.
•Manufacturing Analytical Model based on industry standards •Manufacturing Analytical Model can be extended with custom attributes and/or custom entities •Data sources integration is automatically managed. No custom implementations are required for data ingestion.•SIMATIC IT and SIMATIC IT UA as first step
•Oracle\\MS SQL Server\\ODBC as first third party sources Challenges:
▪Get value from huge quantities of plant
data
▪Analyze and compare data coming from
different systems
▪Integrate plant data with corporate data
▪Enhance visibility across company’s data
Benefit:
Plant data of legacy systems and MOM solution can be combined in a “single point of truth” providing users with a different and more
complete perspective of operations regardless of where the data is originated.
MI Market & Technological Trends
Sustain & invest MI on-premise, start cloud-native and target to be disruptive
Disruptive
Technology
Demanded
Marketable
Not acceptable
Today
Tomorrow
New age
4
On Premise
1
2Time
Cloud
Cloud attracts enterprise and SMB customers for EMI apps
On-Premise MI 5
Cloud MI
On-premise
3
1
Existing MI on-premise with integration capabilities, data analysis web and mobile app. Demand for enhanced
integration with third-party system, PLM and native ERP
2
Cloud EMI with extended storage and data management capabilities (e.g. real-time streaming), IT simplification and automatic scalability
3
Cloud OEE app & IOT platform 4On-Premise EMI will shift to Cloud MI and Edge capabilities
5
MI providing Advanced Analytics and data-driven production optimization
MOM –Manufacturing Intelligence A core element for the Digital Enterprise
Manufacturing Intelligence journey
High Value
Visibility
Insight
Actionable Knowledge
Global Operations view Real-time
visibility & notification
Asset performance
visibility and management (OEE)
Advanced analytics
technique to identify root cause
Predictive analysis
Prescriptive analysis
Connect Performance
Visibility
Digital Enterprise
Quality data
Analysis
Data Driven Production Optimization
Self-Service data
analysis 1
2Efficiency Insight
Advanced Analytics
34
Technological Cloud
Multi-tenant and\\or single-tenant storage
•Data configuration service
•Data model extension service
•Analytical meta model description service •Data flow\\load (ingestion) service
•Data transformation service
•Data storage service
•Multidimensional data management service •Data visualization service
•KPIs engine
And many others ….
Native Cloud (AWS First)
•MindSphere IOT Services and Data
Lake
•PLM\\MOM cloud services
•SIEMENS Cloud Service (e,g.
Identity, Metering, Billing, licensing,
monitoring, logging, visualization,
etc.)
And many others ….
Storage based on
-S3\\Athena
-RDS Aurora\\Postgress
-RedShift\\Spectrum
-DynamoDB
-EMR
Data Ingestion & mgmt -Kinesis Stream
-Kinesis Analytics
-Glue
-Lamda Data Analysis
-QuickSight
-Tableau
-Native HTML5 Dashboard -Mobile APP
MI data bridge
-on-premise
-access directly or receive events from data source -Transform and\\or send events to Cloud
First native-cloud apps based on MindSphere
MOM
MindSphere
Manufacturing Intelligence
Consumes data from on-premise and cloud sources relative to how the shop floor is executing versus the plans
•Native Cloud solution (AWS first) leveraging MindSphere platform, part of the MindSphere App store •Provides the knowledge of production data enabling the contextualization of IOT data •Analysis and real-time awareness of production data, comparing engineering and production phases (PLM <-> MOM <-> TIA) •Leverages MindSphere connectivity and Data Lake •Dedicated OEE APP and Quality Analysis APP •Evolution towards Edge Computing
ERP
Manufacturing Intelligence
PLM
Automation
Quality APP
OEE APP
…APP
Release timeline
MI 2.1
SaaS Cloud (AWS )
-Real-time data streaming
-Data storage extension (EMR)
-Event management from MOM data sources
2018
2019
MI 2.2
SaaS Cloud (AWS)
-OEE app
-Native dashboard
-Data storage extension (Dynamo DB)
-PLM (Team Center) (*)
On-Premise
-enhance data sources integration capabilities (native integration with SAP, OData)
-PLM (Team Center)
MI 2.0
SaaS Cloud (AWS)
-native cloud solution integrated with MindSphere and PLM Cloud
-Multitenant data ingestion and storage silo’s mode -Data storage (S3, RDS, RedShift) -QuickSight and Tableau integration -SIMATIC IT, CAMSTAR, QMS
On-Premise
-enhance data sources integration capabilities for third-party (XML\\WebService)-CAMSTAR, QMS
MI 2.3
SaaS Cloud (AWS)
-Multi-tenant storage option
-Quality data analysis
MI 2.4
SaaS Cloud (AWS)
-Data correlation & automatic root cause analysis
Q4 CY 20171 HY 2 HY
CY 2019
Lift and Shift (Platform Certification)•CEP
•SIT UA
•R&D Suite
•QMS Pro •Preactor
Manufacturing intelligence
and next OEE
•MI as native cloud
implementation
•Next OEE as native cloud
implementation
QMS as Managed Service
•FMEA management
•Audit management
•CCM management
APS and MES native cloud
•APS Planning
•APS Scheduling
•First MES core functions
R&D suite as Managed Service
•R&D suite 7.2 as SaaS offering as
managed service
MOM microservices Consumption of PL microservices AWS microservices
CY 2018下载本文
