Internet of things : approach and applicability in manufacturing / Ravi Ramakrishnan, Loveleen Gaur.

Format:

Book

Author/Creator:

Ramakrishnan, Ravi, author.

Gaur, Loveleen, author.

Language:

English

Subjects (All):

Internet of things.

Physical Description:

1 online resource (209 pages)

Edition:

1st ed.

Place of Publication:

Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, 2019.

Summary:

The concept of Internet of Things has silently existed since the late nineteenth century but in the current decade expectations and excitement has peaked. However not many have understood the profound change that it can usher in. How big this change can be and how it can transform our working!! This book aims to bring in this realization with illustrative and practical case studies with comprehensive concepts. From beginners to practitioners in the field of academics or industry, it serves as a comprehensive yet easy to comprehend source of information on the multiple facets of IoT. Simplistic but comprehensive introduction of the facets of primarily the industrial IoT Practical adoption cases explaining the Core technology stack and business applications Comprehensive view of current technologies which complete the IoT delivery ecosystem, followed by overview of IoT enabled new business models. Realistic view of how industrial firms can evolve into the next stage of maturity along with determinants influencing this transformation since manufacturing is envisioned to be a key segment to adopt and benefit from IoT. Detailed analysis of IoT benefits for the universal triad- energy management, logistics optimization and distribution channel management. A full-fledged case study on Adoption of Green manufacturing using IoT. Real world example of gauging End User perception using different models which is important for a successful adoption of IoT. A futuristic visionary view of IoT as comprehended based on evolution of technology and platforms, and finally analysis of the extremely crucial concepts of security, privacy and governance.

Contents:

Cover

Half Title

Title Page

Copyright Page

Contents

Preface

Abbreviations

Authors

1. Demystifying the Industrial IoT Paradigm

1.1 Primer

1.2 The IoT Adoption-Technology or Strategy Decision

1.3 Industrial IoT

1.4 IIoT Taxonomies

1.5 IoT Challenges in Agile Manufacturing

1.6 Drivers for IIoT Adoption

1.7 IIoT for Process Management

1.8 IIoT Protocols

1.9 Product Development and IoT

1.10 Industry 4.0, IIoT, and Related Developments

1.11 Conclusion

References

2. The Internet of Things Applications

2.1 General

2.1.1 IoT Reference Model

2.1.1.1 Device-to-Device Communications

2.1.1.2 Device-to-Cloud Communications

2.1.1.3 Device-to-Gateway Communications

2.1.1.4 Back-End Data-Sharing Model

2.1.2 Current Areas of Industrial IoT adoption

2.1.2.1 Improving Energy Management

2.1.2.2 Increase Process Manufacturing Efficiency

2.1.2.3 Organizing Discreet Manufacturing

2.1.2.4 Safety in Mining Operations

2.1.2.5 Improving Agro Production

2.1.2.6 Environmental Compliance

2.1.2.7 Retailing and Consumer Analysis

2.2 Emerging Areas of IoT Adoption

2.2.1 Robotics-Driven Warehouses

2.2.2 Process Safety

2.2.3 Deep-Learning-Based Predictive Analytics

2.2.4 Machine Learning for Decision-Making

2.2.5 Connected Machines Assets

2.2.6 Inventory Traceability

2.2.7 Defective Product Identification

2.3 Worldwide IIoT Adoption Case Studies

2.3.1 Current and Future Areas of Domestic IoT Adoption

2.3.2 Cashless Transactions

2.3.3 Retail Industry

2.3.4 Home Automation

2.3.5 Energy Management

2.3.6 City Management

2.3.7 Logistics

2.3.8 Healthcare

2.3.9 Industrial

2.3.10 Environmental Monitoring

2.4 Conclusion

3. Current Technologies

3.1 Introduction

3.1.1 Identification

3.1.2 Sensing.

3.1.3 Communication

3.1.4 Computation

3.1.5 Services

3.1.6 Semantics

3.2 Cloud Deployment Models

3.3 Relevant Technologies

3.4 Small-Form Factor Computing

3.5 Web Services

3.6 Wireless Sensor Networks (WSN)

3.7 Virtual Sensors

3.8 Fog Computing

3.9 Artificial Intelligence (AI)

3.10 Virtual Reality

3.11 Big Data

3.12 Blockchain and Cryptography

3.13 Semantic Technologies

3.14 Fuzzy Logic

3.15 Next Generation Networks (NGN)

3.16 Future Internet

3.17 Nano-Networks

3.18 Single-Point Sensing

3.19 Future Advancements

3.20 Conclusion

4. Business Models

4.1 Introduction

4.2 Business Model Framework

4.3 The IoT and Economics Context

4.4 The IoT Business Models

4.5 Case Studies

4.6 The IoT Business Model Based on IT

4.6.1 Freemium

4.6.2 Digital Add-On Enhancements

4.6.3 Razor and Blade and Digital Lock-In

4.6.4 Point of Sales (POS)

4.6.5 Direct Selling Business Model or Solution Provider Model using Intelligent Objects Self-Service

4.6.6 Pay Per Use Business Model

4.6.7 Digitally Charged Products Business Model

4.6.8 Data Sale

4.7 Challenges and Conclusion

5. Smart Manufacturing

5.1 Introduction

5.2 Manufacturing Concerns

5.2.1 Compliances

5.2.2 Right Product Mix

5.2.3 Skill Gap

5.2.4 Shop Floor Productivity

5.2.5 Energy Monitoring

5.2.6 Operational Efficiency of Machines

5.3 Industry 4.0 and Related Models

5.4 Smart Manufacturing

5.4.1 Smart Design

5.4.2 Smart Machines

5.4.3 Monitoring

5.4.4 Control

5.4.5 Dynamic and On-Demand Scheduling

5.4.6 Collaboration

5.4.7 Digitized Products

5.4.8 The IoT-Driven Process

5.4.9 The IoT and People

5.4.10 Scalable IT Systems

5.4.11 Financial Feasibility

5.4.12 Autonomous Functioning Driven by Machine Data.

5.5 Smart Manufacturing: Indian Case Study

5.6 Conclusion

6. Energy Consumption

6.1 Introduction

6.2 Energy Management Practices

6.3 The IoT for Energy Management

6.4 Industrial Case Study

6.5 Conclusion

Bibliography

7. Logistics Optimization

7.1 Introduction

7.2 Challenges in Logistics

7.3 Logistics Costs

7.4 Autonomous Logistics

7.5 The IoT-Enabled Activity-Based Costing

7.6 The IoT and Inventory Consolidation

7.7 The IoT and Consigned Inventory

7.8 Case Study: Industrial Logistics

7.9 Conclusion

8. Distribution Channel Management

8.1 Introduction

8.2 The IoT Applications in Retail Distribution

8.3 Field Research

8.3.1 Consumer White Goods

8.3.2 Super Mart Items

8.3.3 Food Items

8.3.4 Fashion

8.3.5 Logistics

8.3.6 Energy Management

8.3.7 In-Store Technology

8.4 The IoT Case Studies in Retail

8.5 Costa Coffee

8.6 Conclusion

9. Green Manufacturing

9.1 Introduction

9.2 Framework for Green Manufacturing

9.3 Case Study

9.4 Collaborative IoT for Advanced Manufacturing

9.5 Green IoT

9.6 Conclusions

10. User Perceptions

10.1 Introduction

10.2 The IoT-UPM (User Perceptions Model)

10.3 The IoT Technology Acceptance Model

10.4 The IoT Maturity Model

10.4.1 Traditional IT Systems

10.4.2 People

10.4.3 Connected Assets

10.4.4 Digital Products

10.4.5 Financial Feasibility

10.5 Insights Based on a Field Survey

10.6 Conclusion

11. The Future of the Internet of Things

11.1 Introduction

11.2 Hybrid Technologies

11.3 Futuristic Manufacturing Value Chains

11.4 Futuristic Consumer IoT

11.5 Emerging Trends

11.5.1 Operating Platforms

11.5.2 Standards

11.5.3 Distributed Stream Computing

11.5.4 Operating Systems.

11.5.5 Hardware

11.5.6 Networks

11.5.7 Analytics

11.5.8 Wider Scope

11.5.9 Security

11.5.10 Identity Management

11.6 Future Development

11.7 Conclusion

12. Governance, Security, and Privacy

12.1 Introduction

12.2 Classification

12.3 Types of the IoT Attacks

12.4 Current Protocols and Challenges

12.5 Network Level Security

12.6 Authorization and Authentication

12.7 Privacy in the IoT

12.8 Governance Issues

12.9 Conclusion

Index.

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

0-429-48659-6

0-429-94343-1

0-429-94344-X

9780429486593

OCLC:

1103917754