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Leveraging the Cloud today: Creating MOM solutions 100% available in a Cloud environment David Mitchell & Sebastian Schaefer Realize innovation. Restricted © Siemens AG 2017

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Leveraging the Cloud today:

Creating MOM solutions 100%

available in a Cloud environment

David Mitchell & Sebastian Schaefer

Realize innovation.Restricted © Siemens AG 2017

Intern © Siemens AG 2017

2017.07.28Page 2 Siemens PLM Software

Digital Enterprise Suite –

Siemens’ answer to customer requirements

Totally Integrated

Automation

MindSphere

Product Lifecycle

Management

Manufacturing

Operations Management

Teamcenter

Intern © Siemens AG 2017

2017.07.28Page 3 Siemens PLM Software

Technological Forces Transforming the Digital Enterprise

Changing the way

products come to life

GENERATIVE DESIGN

SYSTEMS-DRIVENDEVELOPMENT

MODEL-BASEDENGINEERING

Changing the way

products are realized

MACHINELEARNING

ADDITIVEMANUFACTURING

ADVANCEDROBOTICS

Changing the way

products evolve

CLOUDTECHNOLOGY

KNOWLEDGEAUTOMATION

BIG DATAANALYTICS

Intern © Siemens AG 2017

2017.07.28Page 4 Siemens PLM Software

How can Siemens help?

Faster time to value with lower cost of ownership

Investments protection through upgrade continuity

Openness for maximum elasticity

System scalabilityfor rapid response

to changes

Flexible deliverymodels

Intern © Siemens AG 2017

2017.07.28Page 5 Siemens PLM Software

The Siemens Difference

The Digital Enterprise Software Suite

Plant DataServices

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

Intern © Siemens AG 2017

2017.07.28Page 6 Siemens PLM Software

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

& DiagnosticSemiconductor 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

PrismaCAMSTAR

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

Intern © Siemens AG 2017

2017.07.28Page 7 Siemens PLM Software

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

Intern © Siemens AG 2017

2017.07.28Page 8 Siemens PLM Software

Adaptive System

We Offer Flexible Solution Options

on cloudon premise

Infrastructure as a Service Software as a Service

Customer Options

IaaS

Managed ServiceSaaS

Managed Service

Intern © Siemens AG 2017

2017.07.28Page 9 Siemens PLM Software

Why SaaS?

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

Intern © Siemens AG 2017

2017.07.28Page 10 Siemens PLM Software

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 JourneyTraditional Cloud Native

Lift and Shift

(Use the cloud as infrastructure)

Cloud Native

(Use the cloud as a platform)

Intern © Siemens AG 2017

2017.07.28Page 11 Siemens PLM Software

From Lift and Shift in this year to cloud native

apps next year – MOM cloud road map defined

Q4CY 2017

1 HY 2 HYCY 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

Intern © Siemens AG 2017

2017.07.28Page 13 Siemens PLM Software

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

R&D Suite

Intern © Siemens AG 2017

2017.07.28Page 14 Siemens PLM Software

Intern © Siemens AG 2017

2017.07.28Page 15 Siemens PLM Software

Cloud Delivery to Facilitate Customer Feedback

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

construction

SIT UA DM

Early Customer

Involvement Program

Overview

Intern © Siemens AG 2017

2017.07.28Page 17 Siemens PLM Software

Early 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 accessible

Intern © Siemens AG 2017

2017.07.28Page 18 Siemens PLM Software

ECI 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)

Intern © Siemens AG 2017

2017.07.28Page 19 Siemens PLM Software

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 DM

Manufacturing

Intelligence

Strategy & Vision

Intern © Siemens AG 2017

2017.07.28Page 21 Siemens PLM Software

Manufacturing Intelligence

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

MindSphereGlobal VisibilityGain visibility into every machine, line, and plant

throughout your enterprise

QualityImprove first-pass yield, reduce scrap, and

identify the root cause of quality issues

ProductivityImprove OEE, increase throughput, and optimize

asset utilization, time, labor, etc.

Intern © Siemens AG 2017

2017.07.28Page 22 Siemens PLM Software

Manufacturing Intelligence

Top visibility and overall performance

• 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.

Intern © Siemens AG 2017

2017.07.28Page 23 Siemens PLM Software

MI Market & Technological TrendsSustain & 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

2

Time

Cloud

Cloud attracts enterprise and SMB

customers for EMI apps

On-Premise MI

5

Cloud MIOn-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

5MI providing Advanced Analytics and

data-driven production optimization

Intern © Siemens AG 2017

2017.07.28Page 24 Siemens PLM Software

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

ConnectPerformance

Visibility

Digital

Enterprise

Quality data

Analysis

Data Driven

Production

Optimization

Self-Service

data

analysis

1 2

Efficiency

Insight

Advanced

Analytics3 4

Intern © Siemens AG 2017

2017.07.28Page 25 Siemens PLM Software

Manufacturing Intelligence

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

Intern © Siemens AG 2017

2017.07.28Page 26 Siemens PLM Software

Manufacturing IntelligenceFirst native-cloud apps based on MindSphere

MOM

MindSphereManufacturing 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

Intern © Siemens AG 2017

2017.07.28Page 27 Siemens PLM Software

Manufacturing Intelligence

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 2.0SaaS 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

Intern © Siemens AG 2017

2017.07.28Page 28 Siemens PLM Software

From Lift and Shift in this year to cloud native

apps next year – MOM cloud road map defined

Q4CY 2017

1 HY 2 HYCY 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