The impact of green manufacturing in Industry 4.0 for future ecosystems
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G. Sucharitha
Abstract
In every phase of industrialization, it is easy to change from one phase to the other, but when it comes to the practical application, it is arduous. In the phase of Industry 4.0, leading technologies came up with smart and automation ideas, which forged a rapid change in industrial services. Simultaneously, data management and analytics flourished with the Internet of Things. This study explores the intention of digital connectivity to make it viable to create crafty demand-supply chains, the process of manufacturing, and the eventual ecosystems. In the perspective of Industry 4.0, the proposal is to incorporate the features of former industry revolutions more ecologically, so we need to ensure that not only do we want to introduce newer things, but we also need to safeguard whatever is already in place from previous industry revolutions continuously at least in the same form as before, as well as to familiarize modern techniques and endure the same things in a much more reliable approach. This study investigates the combination of Information Technology (IT) and Operational Technology (OT), which creates a robust manufacturing ecosystem and can be called Manufacturing 4.0, Industry 4.0.
Abstract
In every phase of industrialization, it is easy to change from one phase to the other, but when it comes to the practical application, it is arduous. In the phase of Industry 4.0, leading technologies came up with smart and automation ideas, which forged a rapid change in industrial services. Simultaneously, data management and analytics flourished with the Internet of Things. This study explores the intention of digital connectivity to make it viable to create crafty demand-supply chains, the process of manufacturing, and the eventual ecosystems. In the perspective of Industry 4.0, the proposal is to incorporate the features of former industry revolutions more ecologically, so we need to ensure that not only do we want to introduce newer things, but we also need to safeguard whatever is already in place from previous industry revolutions continuously at least in the same form as before, as well as to familiarize modern techniques and endure the same things in a much more reliable approach. This study investigates the combination of Information Technology (IT) and Operational Technology (OT), which creates a robust manufacturing ecosystem and can be called Manufacturing 4.0, Industry 4.0.
Chapters in this book
- Frontmatter I
- Contents V
- List of authors VII
- The impact of green manufacturing in Industry 4.0 for future ecosystems 1
- Custom manufacturing using Industry 4.0: cost-effective industry revolution model 17
- Cloud-based industrial IoT infrastructure to facilitate efficient data analytics 31
- An impact of robust Industry 4.0 strategy on supply chain management 53
- Machine learning based smart cloud factories 71
- Sustainable and flexible digital models for the manufacturing of ecosystem 91
- Industry 4.0: efficient supply chain management using energy-aware cloud infrastructure model 103
- Analytical models for planning and control of autonomous mobile robots for logistic management 121
- Industry 4.0: augmented reality in smart manufacturing industry environment to facilitate faster and easier work procedures 141
- Prediction of knee osteoarthritis progression using machine learning techniques 163
- Index 173
Chapters in this book
- Frontmatter I
- Contents V
- List of authors VII
- The impact of green manufacturing in Industry 4.0 for future ecosystems 1
- Custom manufacturing using Industry 4.0: cost-effective industry revolution model 17
- Cloud-based industrial IoT infrastructure to facilitate efficient data analytics 31
- An impact of robust Industry 4.0 strategy on supply chain management 53
- Machine learning based smart cloud factories 71
- Sustainable and flexible digital models for the manufacturing of ecosystem 91
- Industry 4.0: efficient supply chain management using energy-aware cloud infrastructure model 103
- Analytical models for planning and control of autonomous mobile robots for logistic management 121
- Industry 4.0: augmented reality in smart manufacturing industry environment to facilitate faster and easier work procedures 141
- Prediction of knee osteoarthritis progression using machine learning techniques 163
- Index 173
