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Recent advances in industrial productionselect proceedings of ICEM 2020 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Recent advances in industrial productionedited by Rajeev Agrawal ... [et al.].
Reminder of title:	select proceedings of ICEM 2020 /
remainder title:	ICEM 2020
other author:	Agrawal, Rajeev.
corporate name:
Published:	Singapore :Springer Singapore :2022.
Description:	xiii, 515 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Manufacturing processes
Online resource:	https://doi.org/10.1007/978-981-16-5281-3
ISBN:	9789811652813$q(electronic bk.)

Recent advances in industrial productionselect proceedings of ICEM 2020 /
Recent advances in industrial productionselect proceedings of ICEM 2020 /[electronic resource] :ICEM 2020edited by Rajeev Agrawal ... [et al.]. - Singapore :Springer Singapore :2022. - xiii, 515 p. :ill., digital ;24 cm. - Lecture notes in mechanical engineering,2195-4364. - Lecture notes in mechanical engineering..

Bibliometric and Review studies related to Industr4. And sustainability in Industry 4.0 -- Sustainable Additive Manufacturing Methodologies -- Frameworks, tools and techniques for Collaborative and Intelligent Networks and Decision Systems -- Tools and Techniques for Collaborative and Intelligent Networks -- Tools and techniques for Collaborative and Decision Systems.

This book presents the select proceedings of the International Conference on Evolution in Manufacturing (ICEM 2020), and examines a range of areas including evolution in manufacturing, intelligent networks, bio-Inspired models and algorithms, internet-of-things, and cyber manufacturing. This book intends to provide a contribution to the domain of collaborative and intelligent networks and systems to fill the gap in theories and practical applications through suitable methods and solutions applicable to a wide range of instances. Various topics covered include broad range of research challenges in the fields of artificial intelligence and addressing current and future trends in industry 4.0 oriented scenario, data analytics and big data, operation and manufacturing management. The book will be a valuable reference for beginners, researchers and professionals interested in artificial intelligence in engineering and production management and allied fields.

ISBN: 9789811652813$q(electronic bk.)

Standard No.: 10.1007/978-981-16-5281-3doiSubjects--Topical Terms:

243834
Manufacturing processes

LC Class. No.: TS183 / .I57 2020

Dewey Class. No.: 670

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