Novel Industry 4.0 Technologies and Applications

doi:10.3390/books978-3-03943-584-5

Download Url(s)

https://mdpi.com/books/pdfview/book/3136

Contributor(s)

Papakostas, Nikolaos (editor)

Constantinescu, Carmen (editor)

Mourtzis, Dimitris (editor)

Language

English

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Abstract

The Industry 4.0 paradigm has led to the creation of new opportunities for taking advantage of a set of diverse technologies in the manufacturing domain. This book touches on a series of advanced technologies and research fields, including Internet of Things, Augmented and Virtual Reality, Machine Learning, Advanced Robotics, Additive Manufacturing, System and Process Simulation, Computer-Aided Design/Engineering/Manufacturing/Process Planning Systems as well as Product Lifecycle Management Platforms. The topics covered span a series of diverse areas related to a) product design and development, b) manufacturing systems and operations, c) process engineering, and d) Industry 4.0 technologies review and realization.

URI

https://directory.doabooks.org/handle/20.500.12854/69344

Keywords

computer-aided tolerance; processing features degradation; skin model shape; statistical tolerance analysis; tolerance allocation; collaborative learning; engineering graphics; PLM; 3D modeling; engineering education; Industry 4.0; index; smart; intensity of technology; manufacturing; implementation; statistical process control; pattern recognition; long short-term memory; feature learning; control chart; histogram; digital hydraulic technology; digital hydraulic components; digital hydraulic system; shearer; virtual reality; path planning; automatic height-adjusting; Unity3D technology; Rapidly-exploring Random Tree (RRT); manipulator; motion planning; obstacle avoidance; complex environment; exoskeletons; planning methods; ergonomics; time management; augmented reality; maintenance; real-time; digital twin; decision support system; factor analysis; KPI; quantitative analysis; root-cause analysis; life cycle; knowledge- and technology-intensive industry (KTI); VUCA; key enabling technology (KET); Operator 4.0; cyber-physical system (CPS); DfHFinI4.0; PERA 4.0; process planning; scheduling; design for additive manufacturing; multiple criteria; SMEs; technologies; cluster analysis; maturity model; n/a