Simulation for industry 4. 0 : past, present, and future /
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| Format: | eBook |
| Language: | English |
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Cham :
Springer,
[2019]
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| Series: | Springer series in advanced manufacturing.
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Intro; Foreword; Preface; Acknowledgement of Reviewers; About This Book; Contents; Editor and Contributors; Abbreviations; Simulation and the Fourth Industrial Revolution; 1 Introduction; 2 Historical Outlook; 2.1 A Brief History of Industrial Revolutions; 2.2 Simulation Perspective in Industrial Revolutions; 3 Simulation and Concepts of Industry 4.0; 3.1 Cyber-Physical Systems (CPS) and Digital Twin; 3.2 Vertical and Horizontal Systems Integration and Hybrid Modelling; 3.3 Augmented Reality/Virtual Reality (AR/VR) and Training People
- 3.4 Cloud, Big Data Analytics and Simulation Input Modelling3.5 Internet of Things (IoT) and Designing Connectivity; 3.6 Additive Manufacturing and Product Design; 4 Conclusion; References; Industry 4.0, Digitisation in Manufacturing, and Simulation: A Review of the Literature; 1 Introduction; 2 Review of the Selected Publications Between 2011 and 2019; 2.1 Literature Reviews; 2.2 Cyber Physical Systems (CPS), AR/VR, Visualisation; 2.3 Data Analytics; 2.4 Supply Chain; 2.5 Lean Manufacturing; 2.6 Training People; 2.7 Scheduling and Optimisation; 2.8 Trends; 3 Google Scholar Searches
- 4 ConclusionReferences; Traditional Simulation Applications in Industry 4.0; 1 Introduction; 2 Simulation Case Studies; 2.1 Healthcare-Denmark Health; 2.2 Manufacturing-John Deere Cast Iron Foundry; 2.3 Logistics-Shell Exploration and Production Company; 2.4 Manufacturing-Defense Contractor; 3 More Than just a Factory; 4 Building a Simple Model; 5 Creating a Data-Driven Model; 6 Adding Performance Tracking and Targets; 7 Summary; References; Distributed Simulation of Supply Chains in the Industry 4.0 Era: A State of the Art Field Overview; 1 Industry 4.0 and Supply Chains
- 2 Supply Chains and Simulation3 Distributed Simulation; 3.1 Advantages of Distributed Simulation; 3.2 Application Areas of Distributed Simulation; 3.3 Distributed Simulation Protocols and Middleware; 3.4 Distributed Supply Chain Simulation (DSCS); 4 Defining the Scope of the Study; 5 An Overview of the Simulation Techniques; 6 Discrete Event Simulation (DES) Supply Chain Studies; 6.1 DES Studies Enabling Large and Complex SC Models; 6.2 DES Studies Enabling Inter-organisational SC Models; 7 Agent Based Simulation Studies; 7.1 ABS Studies Enabling Large and Complex SC Models
- 7.2 ABS Studies Enabling Inter-organisational SC Models8 System Dynamic Studies (Including Hybrid Models); 8.1 SD Studies Enabling Large and Complex SC Models; 8.2 SD Studies Enabling Inter-organisational SC Models; 9 Discussion and Conclusions; References; Product Delivery and Simulation for Industry 4.0; 1 Introduction; 2 Applications of Simulation in Real World Product Delivery; 3 Smart Deliveries; 4 Big Data Analytics and Artificial Intelligence for Product Deliveries; 5 Internet of Things and Delivery Supply Chains; 6 Complexity in Supply Chains and Agent-Based Simulation; 7 Conclusion