In today's competitive global environment, manufacturers are
offered with unprecedented opportunities to build hyper-efficient
and highly flexible plants, towards meeting variable market demand,
while at the same time supporting new production models such as
make-to-order (MTO), configure-to-order (CTO) and engineer-to-order
(ETO). During the last couple of years, the digital transformation
of industrial processes is propelled by the emergence and rise of
the fourth industrial revolution (Industry 4.0). The latter is
based on the extensive deployment of Cyber-Physical Production
Systems (CPPS) and Industrial Internet of Things (IIoT)
technologies in the manufacturing shopfloor, as well as on the
seamless and timely exchange of digital information across supply
chain participants. The benefits of Industry 4.0 have been already
proven in the scope of pilot and production deployments in a number
of different use cases including flexibility in automation,
predictive maintenance, zero defect manufacturing and more. Despite
early implementations and proof-of-concepts, CPPS/IIoT deployments
are still in their infancy for a number of reasons, including: *
Manufacturers' poor awareness about digital manufacturing solutions
and their business value potential, as well as the lack of relevant
internal CPPS/IIoT knowledge. * The high costs that are associated
with the deployment, maintenance and operation of CPPS systems in
the manufacturing shopfloors, which are particularly challenging in
the case of SME (Small Medium Enterprises) manufacturers that lack
the equity capital needed to invest in Industry 4.0. * The time
needed to implement CPPS/IIoT and the lack of a smooth and proven
migration path from existing OT solutions. * The uncertainty over
the business benefits and impacts of IIoT and CPPS technologies,
including the lack of proven methods for the techno-economic
evaluation of Industry 4.0 systems. * Manufacturers' increased
reliance on external integrators, consultants and vendors. * The
absence of a well-developed value chain needed to sustain the
acceptance of these new technologies for digital automation. In
order to alleviate these challenges, three European Commission
funded projects (namely H2020 FAR-EDGE (http://www.far-edge.eu/),
H2020 DAEDALUS (http://daedalus.iec61499.eu) and H2020 AUTOWARE
(http://www.autoware-eu.org/)) have recently joined forces towards
a "Digital Shopfloor Alliance". The Alliance aims at providing
leading edge and standards based digital automation solutions,
along with guidelines and blueprints for their effective
deployment, validation and evaluation. The present book provides a
comprehensive description of some of the most representative
solutions that offered by these three projects, along with the ways
these solutions can be combined in order to achieve multiplier
effects and maximize the benefits of their use. The presented
solutions include standards-based digital automation solutions,
following different deployment paradigms, such as cloud and edge
computing systems. Moreover, they also comprise a rich set of
digital simulation solutions, which are explored in conjunction
with the H2020 MAYA project (http://www.maya-euproject.com/). The
latter facilitate the testing and evaluation of what-if scenarios
at low risk and cost, but also without disrupting shopfloor
operations. As already outlined, beyond leading edge scientific and
technological development solutions, the book comprises a rich set
of complementary assets that are indispensable to the successful
adoption of IIoT/CPPS in the shopfloor. The book is structured in
three parts as follows: * The first part of the book is devoted to
digital automation platforms. Following an introduction to Industry
4.0 in general and digital automation platforms in particular, this
part presents the digital automation platforms of the FAR-EDGE,
AUTOWARE and DAEDALUS projects. * The second part of the book
focuses on the presentation of digital simulation and digital
twins' functionalities. These include information about the models
that underpin digital twins, as well as the simulators that enable
experimentation with these processes over these digital models. *
The third part of the book provides information about complementary
assets and supporting services that boost the adoption of digital
automation functionalities in the Industry 4.0 era. Training
services, migration services and ecosystem building services are
discussed based on the results of the three projects of the Digital
Shopfloor Alliance. The target audience of the book includes: *
Researchers in the areas of Digital Manufacturing and more
specifically in the areas of digital automation and simulation, who
wish to be updated about latest Industry 4.0 developments in these
areas. * Manufacturers, with an interest in the next generation of
digital automation solutions based on Cyber-Physical systems. *
Practitioners and providers of Industrial IoT solutions, which are
interested in the implementation of use cases in automation,
simulation and supply chain management. * Managers wishing to
understand technologies and solutions that underpin Industry 4.0,
along with representative applications in the shopfloor and across
the supply chain.
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