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.
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.
Contains latest research contributions on sustainable resource management combined with Industry 4.0 Addresses the different problems, practices, challenges and opportunities in sustainable resource management Includes the case study of manufacturing and other related industries
Irfan Ali
Introduction and Evolution of Industry 4.0 Digitisation of Industrial Processes Smart Manufacturing Internet of Things (IoT) Circular Business Models Industry 4.0 and Smart Factories Digital Disruptions & Blockchain for SMEs Machine Learning in Industry 4.0