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Computational modelling in Industry ...

Ali, Irfan.

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Computational modelling in Industry 4.0 = a sustainable resource management perspective /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational modelling in Industry 4.0/ edited by Irfan Ali ... [et al.].
Reminder of title:	a sustainable resource management perspective /
other author:	Ali, Irfan.
Published:	Singapore :Springer Singapore : : 2022.,
Description:	xvi, 366 p. :ill., digital ;24 cm.
[NT 15003449]:	Fundamental Aspects of Computational Methods in Industry 4.0 -- A Note on the Impact of sustainable industrial value creation under Industry 4.0 -- New Challenges of Industry 4.0 in sustainable manufacturing management -- Multicriteria Decision Making Approach in Sustainable MSW Management Systems -- Sustainable Decision-Making in Material selection in the Construction Industry under Industry 4.0.
Contained By:	Springer Nature eBook
Subject:	Industry 4.0 - Computer simulation. -
Online resource:	https://doi.org/10.1007/978-981-16-7723-6
ISBN:	9789811677236

Computational modelling in Industry 4.0 = a sustainable resource management perspective /
Computational modelling in Industry 4.0a sustainable resource management perspective /[electronic resource] :edited by Irfan Ali ... [et al.]. - Singapore :Springer Singapore :2022. - xvi, 366 p. :ill., digital ;24 cm.

Fundamental Aspects of Computational Methods in Industry 4.0 -- A Note on the Impact of sustainable industrial value creation under Industry 4.0 -- New Challenges of Industry 4.0 in sustainable manufacturing management -- Multicriteria Decision Making Approach in Sustainable MSW Management Systems -- Sustainable Decision-Making in Material selection in the Construction Industry under Industry 4.0.

This book addresses the different problems, practices, challenges and opportunities in sustainable resource management with the help of decision-making techniques to showcase the relevance of computational modelling approaches in sustainable management and Industry 4.0. It aims to address the inherent complexity of managing ecosystems, particularly with respect to involvement of multi-stakeholders, lack of information and uncertainties. Critical analyses are made to point out the need for, and propose a call to, a new way of thinking about sustainable resource management. This book will be useful for academicians, researchers, and industrialists in the field of industrial and production engineering.

ISBN: 9789811677236

Standard No.: 10.1007/978-981-16-7723-6doiSubjects--Topical Terms:

3590027
Industry 4.0
--Computer simulation.

LC Class. No.: T59.6 / .C65 2022

Dewey Class. No.: 658.4038028563

Computational modelling in Industry 4.0 = a sustainable resource management perspective /
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245 0 0 $a Computational modelling in Industry 4.0 $h [electronic resource] : $b a sustainable resource management perspective / $c edited by Irfan Ali ... [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2022.
300 $a xvi, 366 p. : $b ill., digital ; $c 24 cm.
505 0 $a Fundamental Aspects of Computational Methods in Industry 4.0 -- A Note on the Impact of sustainable industrial value creation under Industry 4.0 -- New Challenges of Industry 4.0 in sustainable manufacturing management -- Multicriteria Decision Making Approach in Sustainable MSW Management Systems -- Sustainable Decision-Making in Material selection in the Construction Industry under Industry 4.0.
520 $a This book addresses the different problems, practices, challenges and opportunities in sustainable resource management with the help of decision-making techniques to showcase the relevance of computational modelling approaches in sustainable management and Industry 4.0. It aims to address the inherent complexity of managing ecosystems, particularly with respect to involvement of multi-stakeholders, lack of information and uncertainties. Critical analyses are made to point out the need for, and propose a call to, a new way of thinking about sustainable resource management. This book will be useful for academicians, researchers, and industrialists in the field of industrial and production engineering.
650 0 $a Industry 4.0 $x Computer simulation. $3 3590027
650 1 4 $a Industrial and Production Engineering. $3 891024
650 2 4 $a Process Engineering. $3 3591945
650 2 4 $a Computational Materials Science. $3 3594455
700 1 $a Ali, Irfan. $3 1072890
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856 4 0 $u https://doi.org/10.1007/978-981-16-7723-6
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