Reprint
Novel Industry 4.0 Technologies and Applications
Edited by
November 2020
270 pages
- ISBN978-3-03943-583-8 (Hardback)
- ISBN978-3-03943-584-5 (PDF)
This book is a reprint of the Special Issue Novel Industry 4.0 Technologies and Applications that was published in
Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary
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.
Format
- Hardback
License
© 2021 by the authors; CC BY license
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; manufacturing; 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); manufacturing; 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; Industry 4.0; SMEs; technologies; cluster analysis; maturity model; implementation; n/a