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Full Description
The scientific theme of the book is "Virtualisation - a multifaceted key enabler of Industry 4.0 from holonic to cloud manufacturing" which is addressed in the framework of cyber-physical system development. The book approaches cyber-physical systems for manufacturing with emergent digital technologies: Internet of Things, digital twins (based on the virtualization of production models embedded in the design, virtual commissioning, optimization and resilience of processes and fault tolerance of resources), big data, cloud control and computing, machine learning and cobots, that are applied in the book's chapters to industry and service sectors such as manufacturing, energy, logistics, construction and health care. The novelty of this approach consists in interpreting and applying the characteristics of RAMI4.0—the reference architecture model of the Industry 4.0 framework—as combinations of virtualized cyber-physical system elements and IT components in life cycle value stream models. The general scope of the book is to foster innovation in smart and sustainable manufacturing and logistics systems and in this context to promote concepts, methods and solutions for the digital transformation of manufacturing through service orientation in holonic and agent-based control with distributed intelligence. The book's readership is comprised by researchers and engineers working in the manufacturing value chain area who develop and use digital control solutions in the "Industry of the Future" vision. The book also addresses to master's and Ph.D. students enrolled in Engineering Sciences programs.
Contents
A Review of Multi-Agent Systems used in Industrial Applications.- Alignment of Digital Twin Systems with the RAMI 4.0 Model using Multi-agent Systems.- A Design Process for Holonic Cyber-Physical Systems using the ARTI and BASE Architectures.- A Recommendation Strategy Proposal for an Energy Community Modelled as a Multi-Agent System.- Toward a Hybrid Cloud Sawmill Digital Twin based on Active Learning.- A Digital Twin Generic Architecture for Data-Driven Cyber-Physical Production Systems.- Modelling Manufacturing Systems for Digital Twin through Communicating Finite State Machines.- Challenges of Material Handling System Design in the Context of Industry 4.0.- Safety Design and Verification in Reconfigurable Assembly Systems.- Designing a Multi Agent Control System for a Reconfigurable Manufacturing System.
