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Book

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Title

Advances in Manufacturing IV. Volume 2 - Production Engineering: Digitalization, Sustainability and Industry Applications

Editors

[ 1 ] Instytut Technologii Materiałów, Wydział Inżynierii Mechanicznej, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.9] Mechanical engineering

Year of publication

2024

Book type

edited book

Publication language

english

Abstract

EN Advances in Manufacturing IV – Volume 2 – Production Engineering: Digitalization, Sustainability and Industry Applications gathers papers on cutting-edge research and technologies aimed at increasing the efficiency of production processes and supporting the implementation of Industry 4.0 and Industry 5.0 solutions in production. It reports on research on and applications of artificial intelligence and digital technologies to improve the production process and highlights cutting-edge solutions for green and sustainable production. Chapters are devoted to digital transformation and innovation and to the optimization of production processes. Written by scientists and practitioners around the world, this book is intended to promote the exchange of views and experiences and contribute to the dissemination and effective application. It includes 30 chapters, prepared by 94 authors from 12 countries.

Place

Cham, Switzerland

Publisher name

Springer

Publisher name from the Ministry list

Springer

Date of online publication

29.03.2024

Date of publication

2024

Number of pages

410

ISBN

978-3-031-56446-8

eISBN

978-3-031-56444-4

DOI

10.1007/978-3-031-56444-4

URL

https://link.springer.com/book/10.1007/978-3-031-56444-4

Published in

Book series: Lecture Notes in Mechanical Engineering, LNME

Chapters
Exploring the Potential of Digital Twins for New Product Design and Development: A Review of Research Gaps (p. 3-20)
Recent Trends in Artificial Intelligence and Machine Learning Methods Applied to Water Jet Machining (p. 34-45)
Virtual and Augmented Reality: Past, Present, and Future (p. 46-59)
Manufacturing Line-Level Root Cause Analysis and Bottleneck Detection Using the Digital Shadow Concept and Cloud Computing (p. 98-111)
Using Visions Systems and Manipulators in Industry 4.0 (p. 165-177)
Innovations - changes in the environment of the production planning process in enterprises (p. 201-212)
Failure Analytics of Defects in Mechanical Engineering Parts Using Root Cause Analysis: Case Study (p. 328-341)
Success Factor Driven Adaptive Approach to Pro-ergonomic Project Management (p. 395-408)
Conference

International Scientific-Technical Conference Manufacturing 2024, 14-16.05.2024, Poznań, Polska

Total point value of monograph

80

Total point value for editor

20

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