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Implementing industry 4.0 = the mode...

Toro, Carlos.

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Implementing industry 4.0 = the model factory as the key enabler for the future of manufacturing /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Implementing industry 4.0/ edited by Carlos Toro, Wei Wang, Humza Akhtar.
Reminder of title:	the model factory as the key enabler for the future of manufacturing /
other author:	Toro, Carlos.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xviii, 418 p. :ill., digital ;24 cm.
[NT 15003449]:	A Framework To Support Manufacturing Digitalization -- Real-Time Asset Tracking For Smart Manufacturing -- Unified IIoT Cloud Platform For Smart Factory.
Contained By:	Springer Nature eBook
Subject:	Industry 4.0. -
Online resource:	https://doi.org/10.1007/978-3-030-67270-6
ISBN:	9783030672706

Implementing industry 4.0 = the model factory as the key enabler for the future of manufacturing /
Implementing industry 4.0the model factory as the key enabler for the future of manufacturing /[electronic resource] :edited by Carlos Toro, Wei Wang, Humza Akhtar. - Cham :Springer International Publishing :2021. - xviii, 418 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.2021868-4394 ;. - Intelligent systems reference library ;v.202..

A Framework To Support Manufacturing Digitalization -- Real-Time Asset Tracking For Smart Manufacturing -- Unified IIoT Cloud Platform For Smart Factory.

This book relates research being implemented in three main research areas: secure connectivity and intelligent systems, real-time analytics and manufacturing knowledge and virtual manufacturing. Manufacturing SMEs and MNCs want to see how Industry 4.0 is implemented. On the other hand, groundbreaking research on this topic is constantly growing. For the aforesaid reason, the Singapore Agency for Science, Technology and Research (A*STAR), has created the model factory initiative. In the model factory, manufacturers, technology providers and the broader industry can (i) learn how I4.0 technologies are implemented on real-world manufacturing use-cases, (ii) test process improvements enabled by such technologies at the model factory facility, without disrupting their own operations, (iii) co-develop technology solutions and (iv) support the adoption of solutions at their everyday industrial operation. The book constitutes a clear base ground not only for inspiration of researchers, but also for companies who will want to adopt smart manufacturing approaches coming from Industry 4.0 in their pathway to digitization.

ISBN: 9783030672706

Standard No.: 10.1007/978-3-030-67270-6doiSubjects--Topical Terms:

3491401
Industry 4.0.

LC Class. No.: T59.6 / .I475 2021

Dewey Class. No.: 670.285

Implementing industry 4.0 = the model factory as the key enabler for the future of manufacturing /
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300 $a xviii, 418 p. : $b ill., digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4394 ; $v v.202
505 0 $a A Framework To Support Manufacturing Digitalization -- Real-Time Asset Tracking For Smart Manufacturing -- Unified IIoT Cloud Platform For Smart Factory.
520 $a This book relates research being implemented in three main research areas: secure connectivity and intelligent systems, real-time analytics and manufacturing knowledge and virtual manufacturing. Manufacturing SMEs and MNCs want to see how Industry 4.0 is implemented. On the other hand, groundbreaking research on this topic is constantly growing. For the aforesaid reason, the Singapore Agency for Science, Technology and Research (A*STAR), has created the model factory initiative. In the model factory, manufacturers, technology providers and the broader industry can (i) learn how I4.0 technologies are implemented on real-world manufacturing use-cases, (ii) test process improvements enabled by such technologies at the model factory facility, without disrupting their own operations, (iii) co-develop technology solutions and (iv) support the adoption of solutions at their everyday industrial operation. The book constitutes a clear base ground not only for inspiration of researchers, but also for companies who will want to adopt smart manufacturing approaches coming from Industry 4.0 in their pathway to digitization.
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700 1 $a Toro, Carlos. $3 3493057
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700 1 $a Akhtar, Humza. $3 3493058
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