Industry 4.0 Technologies: Sustainable Manufacturing Supply Chains: Volume 1―Theory, Challenges, and Opportunity (Environmental Footprints and Eco-design of Products and Processes)

This book brings forth the fundamental understanding of the role of Industry 4.0 technologies in sustainable manufacturing supply chain. Readers will get an overview of the challenges, opportunities, and requirements for the implementation of digital technologies and how they can support manufacturing supply chains to be sustainable. The book presents many applications of Industry 4.0 including integration of IoT, AI, Big Data, Blockchain, Procurement 4.0, Logistics 4.0, and Lean 4.0 in different contexts. The book therefore provides a platform for researchers, academicians, and professionals from diverse backgrounds to gain state-of-the-art knowledge for using Industry 4.0 in sustainable manufacturing supply chains. Readers will also be able to identify the practical significance and opportunities for future work directions. Foreword Preface Acknowledgement Contents Digital Supply Chain Paradigm 1 Introduction 2 What Supply Chain Management Is All About? 2.1 Upgradation to Digital Supply Chain Management 2.2 Seven Steps to a Digital Supply Chain Management 3 Digital Supply Chain Management (DSCM)—The Trend 4 Enhancing Digital Supply Chain Through Industry 4.0 (I 4.0) 4.1 Big Data 4.2 Data Analysts 4.3 IoT 4.4 IIoT 4.5 Sensors 4.6 Robotics 4.7 Blockchain 4.8 Cloud 4.9 ERP 4.10 Predictive Analytics 4.11 Automated Warehousing 4.12 Forecasting 4.13 Automated Product Delivery System 4.14 AI-Drones and Robots 4.15 Machine Learning 5 Industry 4.0: How Digitization Makes the Supply Chain More Efficient and More Effective 6 Value Drivers for Digital Supply Chain Management (DSCM) 7 Conclusion and Future Work References Supply Chain Decision-Making Using Artificial Intelligence and Data Analytics 1 Introduction 2 Sustainable Manufacturing 3 Sustainable Supply Chain Management 4 AI and Data Analytics in Supply Chain Management 4.1 Potentials of AI and Data Analytics in Supply Chain Management 5 Conclusion References Using Blockchain for Agro-Food Traceability: A Case Study from Olive Oil Industry 1 Introduction 2 Methodology 3 Results and Discussion 4 Conclusions References Logistics 4.0 for Sustainable Manufacturing Supply Chain 1 Introduction 2 Sustainable Manufacturing Supply Chain 3 Logistics 4.0 3.1 Technologies of Logistics 4.0 3.2 Principles of Logistics 4.0 4 Logistics 4.0 and Sustainable Manufacturing 4.1 Logistics 4.0 Human–Machine Interface for Sustainable Supply Chains 5 Conclusions References Industry 4.0 in Resource Efficient and Cleaner Production: A Case Study from the Food Sector in Jordan 1 Background 2 RECP Demonstration in Jordan 3 Applying Industry 4.0 in RECP 4 Conclusions References Applications of Machine Learning in Supply Chain Management—A Review 1 Introduction 1.1 Machine Learning (ML) Techniques 1.2 Supply Chain Management (SCM) 2 Challenges in SCM 3 Machine Leaning and Supply Chain Management 3.1 Need of ML in SCM 3.2 Various ML Techniques Available for SCM 4 Recent Applications of ML in SCM 5 Summary References The Benefits of Using Industry 4.0 in the Manufacturing Sector 1 Introduction 2 Aim, Objectives, and Research Questions 3 Rationale 4 Significance of the Research 5 Literature Review 5.1 Industry 4.0 in Manufacturing 5.2 Factors Behind the Growing Importance of Using Industry 4.0 5.3 Benefits of Adopting Industry 4.0 6 Research Methodology 6.1 Data Collection Methods 7 Data Analysis and Discussion 7.1 Profile of the Respondents 7.2 Findings 8 Conclusion 9 Recommendations 10 Future Research Direction Annexure References Application of Digital Twin for Efficient Supply Chain: Analysis of Opportunities and Challenges 1 Introduction 2 Definitions of Digital Twin 3 Applications of a Digital Twin for an Efficient Supply Chain Across Different Industries 3.1 Agri-Food 3.2 Aerospace and Aeronautical 3.3 Automobile 3.4 Health Care 3.5 Construction 3.6 Oil and Gas 4 Benefits of Digital Twin Applications for an Efficient Supply Chain 4.1 Supply Chain Planning 4.2 Managing Risks and Building Supply Chain Resilient 4.3 Mapping the Supply Chain Network and Ensuring Visibility 4.4 Analyzing Demand and Supply Signals 4.5 Testing the Contingency Plans 4.6 Accurate Forecasting and Testing Operations 4.7 Predictive Maintenance 4.8 Boosting Innovations 4.9 Cost Savings 4.10 Contributes to Sustainability Assessments 4.11 Optimizes and Supports Strategic Decisions 4.12 Accelerating Product and Process Developments 4.13 Inventory Management 4.14 Enhancing the Product and Process Quality 4.15 Improving Supply Chain Performances 5 Challenges of Adopting a Digital Twin 6 Conclusion References Industry 4.0 Technologies: Opportunities in the Sustainable Supply Chain Management 1 Introduction 2 Industry 4.0 3 Sustainable Supply Chain Management 4 Industry 4.0 and Sustainable Supply Chain Management 4.1 Opportunities and Applications of Prominent Industry 4.0 Technologies in SSC Management 4.2 SWOT Analysis 5 Summary References A Bibliometric Analysis of Smart Manufacturing and Way Forward 1 Introduction 2 Literature Review 3 Methods 3.1 Search String 3.2 Database Selection and Collection of Data 4 Analysis 4.1 Sources 4.2 Highly Prominent Authors and Keywords 5 Findings 6 Contributions and Implications 7 Future Research 8 Limitations References Performance Metrics in Digital Supply Chain Paradigm 1 Introduction 2 Performance Metrics 2.1 Internal Supply Chain Performance Measurement 2.2 External Supply Chain Performance Metrics 2.3 Requirements for Performance Measurement Metrices 3 Classification of Performance Metrics 3.1 Delivery Time 3.2 Time Cycle in Cash-to-Cash 3.3 Inventory Movement 3.4 Gross Margin Return on Investment (GMROI) 3.5 Absolute Order Rate 3.6 Day’s Sales Outstanding (DSO) 3.7 Cycle Time for the Supply Chain 3.8 Customer Order Cycle Time 3.9 Fill Rate 3.10 Warehousing Costs 3.11 Cost of Shipping per Unit 3.12 Average Delivery Time 3.13 Cycle Time for Pick and Pack 3.14 Ratio of Inventory to Sales 3.15 Inventory Velocity 3.16 Return Ground 3.17 Costs in a Supply Chain 3.18 Sales Versus Costs in Supply Chain 3.19 On-Time Shipping 3.20 Use of Packing Material 4 Conclusion and Scope for Future Work References Challenges for the Adoption of Industry 4.0 in the Sustainable Manufacturing Supply Chain 1 Industry 4.0 and Sustainable Manufacturing Supply Chains 2 Emerging Technologies Powering the Industry 4.0 Revolution in Manufacturing 3 Challenges of Industry 4.0 Technologies in Sustainable Manufacturing Supply Chains 4 Technology-Level Challenges of Industry 4.0 Adoption for Sustainable Manufacturing Supply Chain Management 5 Conclusion and Implication References This book covers topics related to implementation of advanced technologies, such as AI, big data, procurement 4.0, Logistics 4.0 and Lean 4.0, in Industry 4.0 for the manufacturing supply chain. Many applications of Industry 4.0 in the manufacturing supply chain have been presented. The content of this book is useful for students, researchers and professionals in order to implement Industry 4.0 in manufacturing supply chain.