Industry 4.0: efficient supply chain management using energy-aware cloud infrastructure model
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Ruqqaiya Begum
Abstract
The fourth industrial revolution, termed “Industry 4.0,” was born in Germany and has since grown in popularity among academics. There is a role for the Internet of Things (IoT), the Cyber-Physical System (CPS), ICT, Enterprise Architecture (EA), and Enterprise Integration (EI). Industry 4.0 research has been active, but no systematic and comprehensive evaluation of current studies has been presented. The methods through which goods are conceived, manufactured, transported, and disposed can all be affected by Industry 4.0 activities. In developing countries, such as India, a clear understanding of Industry 4.0 is required before it can be effectively implemented. In this study report, the Indian manufacturing industry’s perspective will be used to identify and prioritize the most important hurdles to Industry 4.0 operations. Incorporating environmental and process safety controls into supply chains is possible with the help of Industry 4.0 efforts. It’s not all plain sailing when it comes to Industry 4.0, however. A thorough literature review was undertaken to identify the 18 primary challenges to Industry 4.0 activities for supply chain sustainability. Responses from 96 units of the Indian manufacturing sector were analyzed for these concerns in a questionnaire-based study. The results of the factor analysis divided the problems into four major categories. The Analytic Hierarchy Process rates the dimensions of difficulties and associated challenges that have been discovered. It was discovered during the research process that organizational problems were the most important of the four factors considered. Practitioners, policymakers, regulatory authorities, and managers may benefit greatly from this research by developing a thorough grasp of Industry 4.0 projects and eliminating any difficulties in adopting Industry 4.0 initiatives for supply chain sustainability.
Abstract
The fourth industrial revolution, termed “Industry 4.0,” was born in Germany and has since grown in popularity among academics. There is a role for the Internet of Things (IoT), the Cyber-Physical System (CPS), ICT, Enterprise Architecture (EA), and Enterprise Integration (EI). Industry 4.0 research has been active, but no systematic and comprehensive evaluation of current studies has been presented. The methods through which goods are conceived, manufactured, transported, and disposed can all be affected by Industry 4.0 activities. In developing countries, such as India, a clear understanding of Industry 4.0 is required before it can be effectively implemented. In this study report, the Indian manufacturing industry’s perspective will be used to identify and prioritize the most important hurdles to Industry 4.0 operations. Incorporating environmental and process safety controls into supply chains is possible with the help of Industry 4.0 efforts. It’s not all plain sailing when it comes to Industry 4.0, however. A thorough literature review was undertaken to identify the 18 primary challenges to Industry 4.0 activities for supply chain sustainability. Responses from 96 units of the Indian manufacturing sector were analyzed for these concerns in a questionnaire-based study. The results of the factor analysis divided the problems into four major categories. The Analytic Hierarchy Process rates the dimensions of difficulties and associated challenges that have been discovered. It was discovered during the research process that organizational problems were the most important of the four factors considered. Practitioners, policymakers, regulatory authorities, and managers may benefit greatly from this research by developing a thorough grasp of Industry 4.0 projects and eliminating any difficulties in adopting Industry 4.0 initiatives for supply chain sustainability.
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
