CHF 198,00

Digital Manufacturing in Industry 5.0

Anglais · Livre Relié

Paraît le 15.07.2025

Description

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This volume focuses on the virtualization of manufacturing through technologies like digital twin, edge computing, big data analytics, and cloud computing. The authors explain the integration of these technologies in ensuring real-time data processing and decision-making routes and how smart sensors play a pivotal role in digital manufacturing, acting as the sensory network that feeds real-time information into the interconnected manufacturing systems. The book further examines augmented reality (AR), another key facet in enhancing human-machine interactions and improving operational efficiency. Describing the broad technological contributions to the creation of responsive, data-driven manufacturing environments that are agile and adaptable to dynamic market demands, the book is ideal for academics/researchers, production engineers, automotive engineers, computer data scientists, IoT & AI engineers, and other professionals in related engineering and cloud computing industries.

  • Explores smart factory concepts, integration of cyber-physical systems in manufacturing, and edge computing;
  • Explains aspects of sensory network in manufacturing, real-time information flow, and augmented reality applications;
  • Illustrates Industry 5.0 and sustainability issues, 3D printing technologies and their applications.

A propos de l'auteur










Dr. Yogesh Kumar Singla is an Assistant Professor in the School of Engineering, Math and Technology, Navajo Technical University, USA.

Dr. Ashwani Kumar is a Professor and Head of Department of Mechanical Engineering, Technical Education Department Uttar Pradesh Kanpur India.

Dr. Michael R. Maughan is an Associate Professor in the Department of Mechanical Engineering, University of Idaho, USA.


Résumé

This volume focuses on the virtualization of manufacturing through technologies like digital twin, edge computing, big data analytics, and cloud computing. The authors explain the integration of these technologies in ensuring real-time data processing and decision-making routes and how smart sensors play a pivotal role in digital manufacturing, acting as the sensory network that feeds real-time information into the interconnected manufacturing systems. The book further examines augmented reality (AR), another key facet in enhancing human-machine interactions and improving operational efficiency. Describing the broad technological contributions to the creation of responsive, data-driven manufacturing environments that are agile and adaptable to dynamic market demands, the book is ideal for academics/researchers, production engineers, automotive engineers, computer data scientists, IoT & AI engineers, and other professionals in related engineering and cloud computing industries.

  • Explores smart factory concepts, integration of cyber-physical systems in manufacturing, and edge computing;
  • Explains aspects of sensory network in manufacturing, real-time information flow, and augmented reality applications;
  • Illustrates Industry 5.0 and sustainability issues, 3D printing technologies and their applications.

Détails du produit

Collaboration Dr. Yogesh Kumar Singla (Editeur), Dr. Ashwani Kumar (Editeur), Dr. Michael Maughan (Editeur), Dr Ashwani Kumar (Editeur), Dr Michael Maughan (Editeur), Dr. Michael R. Maughan (Editeur), Dr Michael R Maughan (Editeur), Yogesh Kumar Singla (Editeur), Ashwani Kumar (Editeur), Michael R. Maughan (Editeur), Michael R Maughan (Editeur)
Edition Springer, Berlin
 
Contenu Livre
Forme du produit Livre Relié
Date de parution 15.07.2025
Catégorie Sciences naturelles, médecine, it, technique > Mathématiques > Théorie des probabilités, stochastique, statistiqu
 
EAN 9783031914997
ISBN 978-3-0-3191499-7
Nombre de pages 1 208
Illustrations XXXV, 1208 p. 333 illus., 308 illus. in color.
Dimensions (emballage) 15,5 x 23,5 cm
 
Catégories Künstliche Intelligenz, Big Data, Regelungstechnik, Datenbanken, Artificial Intelligence, iot, AI, Artifical Intelligence, Automation, Edge Computing, Digital Twin, Fertigungstechnik und Ingenieurwesen, Cloud Computing, Industrial and Production Engineering, Data and Information Visualization, Digital Manufacturing, human-machine interaction, Industry 5.0
 

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