customer benefits by cyber-physical systems

Unrestricted © Siemens AG 2017 All rights reserved.

Customer Benefits byCyber-Physical SystemsRoland Rosen, CT RDA AUC | January 30, 2017

Siemens Corporate TechnologyUnrestricted © Siemens AG 2017

January 2017 Corporate TechnologyUnrestricted © Siemens AG 2017 All rights reserved.

Digitalizationchanges everything


Megatrends – Challenges that are transforming our world

DigitalizationIn the future, we’ll be living in a world that’sincreasingly interconnected by complex andheterogeneous systems; by 2020, the amountof data stored worldwide will have grown to44 zettabytes. Around 50 billion devices will belinked online.

Source: IDC, The Digital Universe of Opportunities: Rich Data and the Increasing Value of the Internet of Things, April 2014; Dave Evans (Cisco): The Internet of Things, How the Next Evolution of the Internet Is Changing Everything, April 2011


End-user behavior is radically changing based on new business models

From Taxi to Ride Sharing

From Record Store to StreamingFrom Bookstore to eBook

From Yellow Pages to Marketplaces


Value creation processes are continuously changing based on newdistribution of knowledge and information

From Traveling to Remote Service

From Manual Installation to Online Update

From Personal Contact to Electronic Mall

From Physical to Virtual Prototypes


Products are augmented digitally for different stakeholder along their entirelifecycle

Plug & Operate: Installation and Upgrade

Connectivity: Monitoring and Access

Digital Twin: Engineering and Operation

Online Documentation: User and Sales


Massive pervasion of technologies driven by exponential growth ofcomputational power

Semantic Technologies and Big Data

Modeling and Simulation

Autonomy and Intelligence

Communication and Connectivity


Four Key Aspects of Automation of the Future:Modularity, Connectivity, Autonomy and Digital Twin

… can be clustered into four core aspectsNeeds of manufacturing industry …

‒ Increased efficiency, shorter time-to-market,and enhanced flexibility required

‒ New production environment will bedefined by‒ Dynamic networks of local controllers‒ Flexible production steps configured

in response to rapidly changing situations‒ Less detailed planning in advance‒ Optimization of production, e.g. through

Cyber-Physical Production Systems‒ Self-organization, e.g. product steers its

own way through the production process‒ Digital Twins of the entire process

and its constituent elements

ModularityThe manufacturing process isdetermined on a flexible basis,depending on the current situation

ConnectivitySelf-organization of networkedmanufacturing equipment, takingthe entire value chain into account

AutonomyIntelligence that enables executionof high level tasks withoutdetailed programming

Digital TwinSynchronized digital and physicalworld. Digitization of the wholeproduct life cycle via “Cyber-Physical Production Systems”


What is a possible way toaddress these challenges?


Industrie 4.0: Increasing complexity leads to new value systems …… and productivity, speed and flexibility remain the biggest challenges

Based on: The Global Manufacturing Revolution; sources: Ford, beetleworld.net, bmw.de, dw.de.

Speed

Productivity

Flexibility

Quality

Complexity

E.g. 3D printing

E.g. smartphone

Product variety

1955

1980

1913

2000

1850

Globalization

Regionalization

Personalization

Mass production

Customizedmass production

Manualproduction e.g. vehicle

configurator

Product volume

"People can have theModel T in any color −so long as it's black."Henry Ford (1913)


Plattform Industrie 4.0Overall guiding principles

Customerbenefits first

‒ Industrie 4.0 will be successful only if there is a market for Industrie 4.0 solutions.‒ We need to create solutions that generate customer benefits.

Build on owncore competenciesand strengths

‒ We have profound knowledge of the physical world, e.g. machines, automation,mechatronics.

‒ We have a deep understanding of the core value creation processes inmanufacturing industries.

‒ Digitalization offers the opportunity to bolster these strengths.

Use-case basedapproach

‒ Heterogeneity of manufacturing industries does not allow a one-size-fits-all approach.‒ Elaboration of sets of problems and solution approaches.‒ Not every elaborated problem may be of interest to a specific customer.‒ A specific solution approach can address several problems.


manufacturing company

Sales

ProductDevelopment

Product LineMaintenance

DiscontinuationManagement

Factory andProduction Planning

ErectionDisposal

After-SalesServices

ProductionEngineering

Maintenance

RecyclingMaintenance andDisposal Planning

Marketing

Value Chains of Manufacturing CompaniesSource GMA 7.21

Production

Operation

Product LinePlanning

Factory

customer

supplier



Sales

ProductDevelopment




ErectionDisposal

After-SalesServices


Maintenance


Marketing

Value Chains of Manufacturing CompaniesSource GMA 7.21

Production

Operation


Factory

customer

supplier

Product Lifecycle Management

Production System Lifecycle Management

Production SystemLifecycle Management Service

Service



Sales

ProductDevelopment




ErectionDisposal

After-SalesServices


Maintenance


Marketing

Overview of Application Scenarios of Plattform Industrie 4.0

Production

Operation


Factory

customer

supplier

Product Lifecycle Management

Production System Lifecycle Management

Production SystemLifecycle Management Service

Service

VBSHTI

OCPAF

SP2IPD

TAPSALSDP


Overview of Application Scenarios

OCP – Order-Controlled Production: describes dynamic composition of necessary production resources for an orderAF – Adaptable Factory: focuses on a production resource with respect to an adaptable design and addresses theconsequences for supplier and system integratorSAL – Self Organizing and Adaptive Logistics: considers entire inter- and intra-logisticsVBS – Value Based Services: describes the design of service value networks if product- and/or process information isprovided based on an IT-platformTAP – Transparency and Adaptability of Delivered Products: focuses on a product and describes design oftransparency and adaptability of delivered products based on an IT-platformHTI – Human-Technology-Interaction in the Production: describes future support of operator in the production based onnew technologiesSP2 – Smart Product Development for Smart Production: describes collaborative product engineering, starting withproduct requirements and designing seamless engineering workflows to deliver necessary information to production andserviceIPD – Innovative Product Development: describes new methods and processes in product development with focus onearly phasesSDP – Seamless and Dynamic Engineering of Plants: addresses increasing dynamics in plant engineering along entirelifecycle of a plant and importance of validation of engineering decisions

This application scenario focuses on a production resource anddescribes§ how this can be designed with respect to adaptability and

how this impacts§ the supplier of production resource,§ the system integrator, and§ the operator of a plant.

The adaptable factory


Implementation Example


Industrie 4.0 DemonstratorFlexible transportation system (Multi Carrier System)

The Industrie 4.0 Demonstrator was implemented by the 4 companies in the management board of the Platform Industrie 4.0

mechatronical system

engineeringworkplace

analysisworkplace

service platform

in cooperation with


Industrie 4.0 DemonstratorFlexible transportation system (Multi Carrier System)

mechatronical system

engineeringworkplace

analysisworkplace

service platform

in cooperation with

Setup• Manufacturing cell as mechatronical system with flexible physical

transportation system and modular virtual processing units• Engineering workplace for design of manufacturing cell• Analysis workplace for visualization and optimization of operation

of manufacturing cell• Collection of energy consumption of carrier of transportation system

in the cloud

Addresses benefit based on selected application scenarios• Enhance flexibility: Adaptable Factories (AF)• Increase efficiency: Value-Based Services (VBS)• Shorten time-to-market: Seamless and Dynamic Plant

Engineering (SDP)


Enhance Flexibility:Reorganization of Manufacturing Cell

Challenges• Increasing market volatility and rising individualization of the

products leads to smaller order sizes• Consequences are frequent retooling of production including

reorganization of production unitsSolution• Modular design of the manufacturing cell from individually

exchangeable processing steps• Flexible transportation system, which intelligently adapts to the

production cell

Benefits for operator• Reacting quickly to changing demands in the market• Efficient production of individual products• Easy and secured reorganization of a processing unitBenefit for machine supplier• Offering modular and flexible machines• Extension of portfolio by offering virtual representatives of

machines

reorganization


Conclusions


Plattform Industrie 4.0Setup of a strong triangle for Recommendations, Testing and Standardization

Recommended actionsSME mobilizationInternational cooperation

Network of test centersPractical testingValidated input for standardization

Initiation of cross-sector standardsCoordination of national / international standardsStrengthen the international collaborations

Digital

Transformation


Our vision for CPS: Autonomous systems know what they are doing

• Executes a carefully engineered sequence ofactions (with variants)

• Does not understand the consequences of itsactions

• Cannot change the sequence

Automated System

Execute high-level tasks without detailed programming. They• understand their capabilities and decide how to apply them to a

given task• perceive their environment and dynamically modify the course of

action to respond to changes• are multi-purpose machines

Autonomous Systems

Execution Actuator N

Actuator 2

Actuator 1

Sensor N

Sensor 2

Sensor1

Execution Actuator N

Actuator 2

Actuator 1

Sensor N

Sensor 2

Sensor1

Skill setTask


Research questions are addressed in Siemens Core Technology Initiatives

Autonomous SystemsRevolution

Digital Twin Unleashed

Leverage the potential oftoday’s distributed digital twin

- Coupling of engineeredmodels with operational data

- Digital twin views + services

- Real and digital world in sync

- Plug & play of modular, IP-managed digital twin units

Deep Artificial Intelligence

Explore AI for industrialmachine intelligence

- Deep learning algorithms e.g.for prediction, knowledgecreation, image recognition

- Software base for deployment

- Integration of quicklydeveloping open sourcesoftware and GPU computing

Simulation

Enhance simulationtechnology and push into newapplication domains

- Management of complexity inseamless simulationenvironments

- Rapid simulation in earlyphases

- Novel simulation servicesduring operation & service

Enable operation andinteraction of autonomousmachines

- Multi-purpose machines

- Goal-oriented engineering

- Robot assistance to humanworkers

- Autonomy in cooperatingsystems


Thanks for your attention

Contact

Roland RosenPrincipal Key Expert Research ScientistCT RDA AUC

Otto-Hahn-Ring 681739 Munich

Phone: +49 (89) 636 633 300Mobile: +49 (1522) 2 911 981

E-mail:[email protected]

Internetsiemens.com/corporate-technology

Intranetintranet.ct.siemens.com

mailto:[email protected]

http://siemens.com/corporate-technology

http://intranet.ct.siemens.com/

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