Computational Modelling in Industry 4.0: A Sustainable Resource Management Perspective

Irfan Ali, Prasenjit Chatterjee, Ali Akbar Shaikh, Neha Gupta, Ali Alarjani

Research output: Book/ReportBookpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
PublisherSpringer Nature
Number of pages366
ISBN (Electronic)9789811677236
ISBN (Print)9789811677229
DOIs
StatePublished - 1 Jan 2022

Keywords

  • Circular Business Models
  • Digital Disruptions & Blockchain for SMEs
  • Digitisation of Industrial Processes
  • Industry 4.0 and Smart Factories
  • Internet of Things (IoT)
  • Introduction and Evolution of Industry 4.0
  • Machine Learning in Industry 4.0
  • Smart Manufacturing

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