1.

Record Nr.

UNINA9910743234503321

Titolo

Computational Modelling in Industry 4.0 : A Sustainable Resource Management Perspective / / edited by Irfan Ali, Prasenjit Chatterjee, Ali Akbar Shaikh, Neha Gupta, Ali AlArjani

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022

ISBN

981-16-7722-0

981-16-7723-9

Edizione

[1st ed. 2022.]

Descrizione fisica

1 online resource (374 pages)

Collana

Engineering Series

Disciplina

658.4038028563

Soggetti

Industrial engineering

Production engineering

Materials science - Data processing

Industrial and Production Engineering

Process Engineering

Computational Materials Science

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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.

Sommario/riassunto

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.