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Advances in Manufacturing II Volume 1 - Solutions for Industry 4.0

Title
Advances in Manufacturing II [electronic resource] : Volume 1 - Solutions for Industry 4.0 / edited by Justyna Trojanowska, Olaf Ciszak, José Mendes Machado, Ivan Pavlenko.
ISBN
9783030187156
Publication
Cham : Springer International Publishing : Imprint: Springer, 2019.
Physical Description
1 online resource (XVI, 458 p.) 223 illus., 179 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book covers a variety of topics related to the Industry 4.0 concept, with a special emphasis on the efficiency of production processes and innovative solutions for smart factories. It describes tools supporting this concept in both the mechanical engineering and biomedical engineering field. The content is based on papers presented at the 6th International Scientific-Technical Conference MANUFACTURING 2019, held on 19-22 May 2019, in Poznan, Poland. Virtual reality, simulation of manufacturing systems, additive manufacturing, big data analysis, automation and application of artificial intelligence, as well as economic and social issues related to the integration of those technologies are just some of the topics discussed here. All in all, the book offers a timely and practice-oriented reference guide for researchers and practitioners, and is expected to foster better communication and closer cooperation between universities and their business and industrial partners.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
May 03, 2019
Series
Lecture Notes in Mechanical Engineering,
Lecture Notes in Mechanical Engineering,
Contents
Digitization and Intangible Assets in Manufacturing Industries
Human-Organization Relation in Perspective of Industry 4.0
Edge Computing Technologies as a Crucial Factor of Successful Industry 4.0 growth. The Case of Live Video Data Streaming
Model Proposal to Evaluate the Quality of a Production Planning and Control Software in an Industrial Context
Increasing the Production Productivity with Artificial Bee Colony Optimization Method
Comparison of NC Data Preparation Ways for Drawingless Production
Artificial Hand Controlled by a Glove with a Force Feedback.
Citation

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