Flexible Automation and Intelligent Manufacturing: The Future of Automation and Manufacturing: Intelligence,...

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Krishnaswami Srihari Mohammad T. Khasawneh

Flexible Automation and Intelligent Manufacturing

The Future of Automation and Manufacturing: Intelligence, Agility, and Sustainability: Proceedings...

Krishnaswami Srihari, Mohammad T. Khasawneh, Sangwon Yoon , Daehan Won

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English

Springer Nature Switzerland AG
16 November 2025

Management & management techniques; Engineering: general; Production engineering; Automatic control engineering

Series: Lecture Notes in Mechanical Engineering

This book reports on cutting-edge research and developments in manufacturing, giving a special emphasis to intelligent, agile and sustainable solutions. It covers applications of machine learning in manufacturing and advances in cyber-physical systems, human-robot collaboration, and machine tools and assembly systems. It also reports on advances in logistics and supply chain, and lean manufacturing. Based on the proceedings of the 33rd International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2025), held on 21–24, 2025, in New York City, NY, USA, this first volume of a 2-volume set provides academics and professionals with extensive, technical information on trends and technologies in manufacturing, yet it also discusses challenges and practice-oriented experience in all the above-mentioned areas.

Edited by: Krishnaswami Srihari, Mohammad T. Khasawneh, Sangwon Yoon, Daehan Won
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783032076748
ISBN 10: 3032076749
Series: Lecture Notes in Mechanical Engineering
Pages: 728
Publication Date: 16 November 2025
Audience: College/higher education , Professional and scholarly , Further / Higher Education , Undergraduate
Format: Paperback
Publisher's Status: Active

Low-temperature Sintering Study for Aerosol Jet Printed Flexible Electronics Across Diverse Substrates.- Heuristic Procedure for Process and Setup Planning of Features with Multiple Processing Requirements and Alternative Processes.- Data-driven Process Planning for Machining of Additively Manufactured Components.