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 language | English |
|---|---|
| Publisher | Springer Nature |
| Number of pages | 366 |
| ISBN (Electronic) | 9789811677236 |
| ISBN (Print) | 9789811677229 |
| DOIs | |
| State | Published - 1 Jan 2022 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 12 Responsible Consumption and Production
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SDG 17 Partnerships for the Goals
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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