The AUTOWARE project is funded by the EU Framework Programme for Research and Innovation Horizon 2020. The project aims to push forward an open CPPS ecosystem, allowing SMEs to develop digital automation cognitive solutions. AUTOWARE will connect several initiatives for strengthening the European SME offer on cognitive autonomous products. It will help manufacturing companies to innovate their business model by implementing novel technologies and digitising their processes. These slides presents an overview of the project, such as the project's objectives, target users, partners, technology developed, etc. Check this out to learn more about the project.

1. KoM Bilbao
Project Roadmap
INNOVALIA
27 October 2016
Kickoff Meeting Bilbao

2. Welcome, Agenda & Project overview
PARTNERS

3. Objectives
Build an open consolidated ecosystem and single community that will lower the
barriers of SMMEs for cognitive automation application development and
application of autonomous manufacturing processes.
1. To allow the interaction and interworking of the heterogeneous communications and
networking technologies necessary to support the ubiquitous connectivity of CPPS.
2. To avoid “data deluge” to decision makers so that they are able to dynamically
understand what is the relevant information for at a specific point in time, and make sure
only relevant data is presented to them.
3. To obtain a business development framework as a service for automation which deals
with intelligent decision support for strategic automation of factories driven by Robotics,
investment analysis tools and automation assessment frameworks.
4. To fit the multi-disciplinary needs of SME industry which find it really difficult to access to
heterogeneous isolated technologies. I4MS has been very successfully in setting up top
competence centres and innovation hubs for SMEs to developed and assess advanced
solutions in those fields. However, the implementation of cognitive factories and
automation systems, cannot and should not be tackled from an isolated technology
domain individually.
Welcome, Agenda & Project overview

4. Objectives (cont.)
5. To link to the CPS community and embrace the TAPP concept for automation system
app-ization.
6. To guarantee a usable and intuitive access for SMEs to several European initiatives and
platforms that are developing digitalization solutions for manufacturing companies in
different areas: robotic solutions, cloudification manufacturing initiatives, CPS platforms
implementation, reconfigurable cells, etc..
7. To develop joint Proof of Concept of AUTOWARE enabled capabilities in 3 industrial pilots
facilities covering different sectors and different stages of the manufacturing and
logistics lifecycle.
8. To disseminate project’s results, educate and create awareness around the AUTOWARE
framework, tool vendors for software evolution and manufacturing industry (incl. SMEs)
for AUTOWARE manufacturing process engineering and monitoring. The objective is to
put in place proper scientific and industrial dissemination means. The objective is also to
maximise exploitation and return on investment from deployment of AUTOWARE
Industrial Data Ecosystem and Service Platforms on the basis of the innovation and STEEP
sustainability results evidenced by the AUTOWARE reference implementations.
9. To influence pre-normative and standardisation activities.
Welcome, Agenda & Project overview

5. T.6.5
The objective of this task is to build and connect existing digital manufacturing communities
but also leverage on the solid foundation of the SME engagement methodologies
(developed in FITMAN and I4MS-Gate projects to establish the FIWARE for Industry and I4MS
multi-sided communities and development of FIWARE acceleration programme). The
methodology will leverage 5 key drivers for SME engagements in the AUTOWARE open
innovation ecosystem.
WP7 Involvement
Objectives:
● To plan and implement the exploitation of project’s outcomes
● To analyze background & Results IPR and to achieve an exploitation agreement
● To develop an industrial Business and a ROI plan
● To exploit results in the regional business ecosystems
● To promote results to the related standardization bodies
Eco-system build-up tasks

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Challenge
Industry 4.0 Needs
1. Increasing changes in market demands.
2. Increasing flexibility
3. Real time information exchange.
4. Autonomous production
5. Real-time wireless communication and
6. mobility support
The planning and control of production systems has become
increasingly complex regarding flexibility and productivity as
well as the decreasing predictability of processes

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Challenge
The concept of fully automated production systems is no longer a
viable vision
High reactivity, agility and adaptability that is required by modern
production systems, can only be reached by human operators
with their immense cognitive capabilities
New concepts are required, that apply these cognitive principles
to support autonomy in the planning processes and control
systems of production systems.

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Platform / reference architecture
AUTOWARE

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Platform / reference architecture
1. App-ized smart control hardware
2. Resilient & reliable industrial (wireless) control communication
3. Cloudified digital automation architecture
4. Added value cognitive industrial services

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Platform / reference architecture

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Platform / reference architecture

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4 main pillars:
▪Align the cognitive manufacturing technical enablers,
i.e. robotic systems, smart machines, cloudified control
systems, secure cloud-based planning systems and
application platform.
▪Provide a business development platform as the core
element for putting together a digital business ecosystem
for business-driven automation of digitalised
manufacturing.
▪Extend “neutral” industrial experimentation sites
accessible to all, particularly SMMEs (Smart Factory KL, JSI,
Tekniker)
▪Dramatically ease the digital modelling and design of
CPPS systems and couple digital models with auto- and
self-configuration, validation & verification of CPPS systems.
Target users of the platform

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Target users of the platform
CPPS Vision
AUTOWARE
(I4MS stakeholder
alignment &
realisation)

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Target users of the platform
Cognitive Manufacturing Architectures & Services for manufacturing
SMEs through I4MS-ECSEL & CPS asset alignment

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❑ Industrial (wireless) deterministic communication.
❑ Industrial control cloudificaiton & app-ization.
❑ Industrial data distribution
❑ CPPS system configuration.
❑ CPPS validation & verification
❑ Cognitive robotic control (automation & collaboration)
❑ Cognitive Robotic Business Planning
Technologies supported

16. KoM Bilbao
Contribution to standards

17. AUTOWARE Enablers – Innovation Assets
Digital Shopfloor Alliance – Joint
AUTOWARE Enablers - Individual
Technical
Description
High Level
Description
Demonstration
ICT CommunityManufacturing Community
Terms of use

18. Digital Shopfloor Alliance
• The rapid advances in ubiquitous computational power, coupled with the
opportunities of de-localizing into the Fog/Cloud parts of an CPPS/ICT framework,
have the potential to give rise to a new generation of service-based
software-intensive industrial automation systems, whose local intelligence (for
real-time management and orchestration of manufacturing tasks) can be
dynamically linked to runtime functionalities residing in the Cloud.
• This CPPS based on real-time distributed intelligence and enhanced by functional
extensions into the Cloud, will lead to a new information-driven automation
infrastructure.
• SMEs are often constrained by factors such as time, expertise and budgetary
(cost-resource investments) constraints.
• SMEs tend to behave opportunistically driven by concerns of cost effectiveness
rather than any strategic considerations.
• Therefore, digital shopfloor automation addressing SME concerns should fully
support a mission focused approach to activities.

19. Digital Shopfloor Alliance
• A number of key factors inhibit the widespread adoption and use of CPPS/IIoT, and
these include:
• The cost of technology (deployment, maintenance and operation as well as
physical devices).
• The time needed to implement CPPS/IIoT.
• Uncertainty over the business benefits and impacts.
• Lack of relevant internal CPPS/IIoT knowledge or expertise.
• Dependence on external integrators, consultants and vendors.
• Un-reliability of systems, potentially owing to technological obsolescence and
technical complexity.
• To adopt CPPS, the benefits must outweigh investment and maintenance costs.

20. Digital Shopfloor Alliance
• On the demand side, the major barriers to CPPS/IIoT adoption include time and cost
constraints coupled with organizational changes for doing business derived from
CPPS/IIoT adoption or a limited CPPS/IIoT literacy-expertise of SME owners and
employees.
• On the supply side, there is a need to move from making technologies or systems
available through marketplaces and digital catalogues towards providing reliable, cost
effective integrated solutions to support small enterprises, both in terms of customized
and flexible applications.
• SMEs demand that digital automation can be provided at a cost, within short
development cycles and be easily integrated “on-demand” for mission focused purposes.
• None of the FoF-11 projects could build such attractive multi-sided market offer in
isolation, yet all the components required are available and can be accommodated under
the AUTOWARE digital automation framework, which could be transformed into a
common Digital Shopfloor Framework to be further elaborated jointly.
• Automation component providers and app developers will cover the costs of certification
on the basis of access to larger market shares with increased integration processes that
can be now realized by system integrators at more competitive (lower) costs thanks to a
more “structured” system property and behavior characterization of individual
components, systems and SoS solutions.

21. Digital Shopfloor Alliance
• The Digital Shopfloor Alliance for digital automation of SMEs could deliver the
following assets:
• A digital automation RoI analysis framework (AUTOWARE)
• A digital marketplace to aggregate IEC-61499 solutions & applications
(DAEDALUS).
• Digital automation certification framework (AUTOWARE).
• Open fog & HPC infrastructure (AUTOWARE).
• Digital automation services & development community (FAR-EDGE)
• Digital automation ledger (FAR-EDGE)
• Automation system components, robotics, control, vision
(DAEDALUS+AUTOWARE)

22. Digital Shopfloor Alliance
• In fact, it responds to several stakeholders’ needs (multi-sided ecosystem):
• Manufacturing SMEs can adopt digital cognitive automation systems within budget
thanks to access to digital shopfloor marketplace. Furthermore, a fast development,
experimentation and technical feasibility assessment of CPPS applications is
ensured increasing their market visibility.
• Automation and machine tool/robot providers which can incorporate open CPS
trusted platforms as part of an increased number of next generation smart
production line components and solutions after component and system
certification.
• Developers of cognitive (learning, analysis, knowledge management capability
services) and automation apps for autonomous service support can benefit from
certified deployment and well characterized performance in open fog platforms.
• Providers of cloud and HPC simulation and computation services can host the
operation of advanced cognitive services to complement edge operations.
• Integrators and solution providers can build production line solutions for SMEs and
OEMs faster and with more reliable components as this alliance provides a suitable
testing environment that ensures large scale validation of new technologies and
services, including certified solutions for data storage as well as for communication.

23. Digital Shopfloor Alliance

24. KoM Bilbao
THANK YOU FOR YOUR ATTENTION!