Module 1: Industry 4.0: Internet of Things (IoT), IoT vs Baseline Technologies (Machine to Machine (M2M) communications, Cyber-Physical Systems (CPS), Web of Things (WoT)), IoT – Architecture (Sensing layer, Networking Layer, Service Layer, Interface Layer).
Industrial Revolution and Historical Context, Characteristics and Features of Industry 4.0, Design Requirements of Industry 4.0, Drivers of Industry 4.0 (Mega Trends, Tipping Point), Smart Business Perspective (Monitor, Control, Optimize, Automate), Characteristics of Smart Business Model, Impacts of Industry 4.0 (Economy Perspective, Business Perspective, Global Perspective), Applications of Industry 4.0 (Smart Factory and Manufacturing System, Smart City, Logistics, Agriculture, Public Transport, Construction, Food Production). (10 hours)

Module 2: Industrial Internet of Things (IIoT): Introduction to IIoT, Comparison between IoT and IIoT, Prerequisites of IIoT, Architecture of IIoT, Industrial Sensing, Traditional Sensing, Contemporary Sensing, Smart Sensors, Application of Smart Sensors in Industries (Agriculture, Health Care, Retail, Supply Chain, Manufacturing), Features of IIoT for Industrial Processes, Future Architecture of Industries, Applications of IIoT (Smart Health Care, Smart Supply Chain, Smart Transportation, Smart Manufacturing System, AR and VR Applications). (8 Hours)

Module 3: IIoT Analytics: Introduction to IIoT Analytics, Positive Impacts of Data Analytics on Industries, Categorization of Analytics (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Streaming Analytics, Spatial Analytics, Time-Series Analytics), Artificial Intelligence (Machine Learning (ML), Deep Learning (DL)), Usefulness of IIoT Analytics, Challenges of Analytics in Industries, Mapping of Analytics with Industrial Internet Reference Architecture (IIRA), Applications of Analytics Across Value Chain. (6 Hours)

Module 4: Plant Safety and Security: Introduction to Plant Safety, IIoT Applications for Undertaking Safety Measures in Plant, Plant Security (Culture, Compliance, Capital), Network Security (Access control, Antivirus and Anti-Malware Software, Application Security, Behavioral Analytics, Email Security, Firewalls, Intrusion Prevention Systems (IPS), Mobile Device Security, Virtual Private Network (VPN), Web Security), Mobile Device Security (Endpoint Security, Virtual Private Network (VPN), Secure Web Gateway (SWG), Email Security). (6 Hours)

Module 5: Health Care Applications in Industries: Introduction to Health Care Applications in Industries, Major Challenges Associated with Healthcare, Applications of Healthcare in Industries, IIoT Based Health Care System, Smart Devices (Smart Electrocardiogram (ECG) Monitor, Smart Blood Pressure Monitor, Smart Body Temperature Monitor, Smart Oxygen Saturation Monitor, Smart Health Monitoring Chair), Advanced Technologies used in Healthcare (Artificial Intelligence (AI), Data Analytics, Centralized Monitoring of Patients, Precision Medicine, Virtual Reality (VR), Blockchain). (5 Hours)

Module 6: Inventory Management and Quality Control using IIoT: Introduction to Inventory Management and Quality Control using IIoT, Inventory Management, Types of Inventory (Finished Goods, Work-in-Process, Raw Materials, Maintenance, Repair and Operating supplies (MRO) Goods), Types of Inventory Management (Just-In-Time (JIT) Management, Materials Requirement Planning (MRP), Economic Order Quantity (EOQ), Days Sales Inventory (DSI)), Inventory Management and IIoT, Benefits of IIoT Applications in Inventory Management, Quality Control. (5 Hours)

To make students familiar with the Industry 4.0.

To make the students understand the design and development of smart IIoT systems.

To enable the students to comprehend IIoT Analytics.

To enable students to investigate IIoT-driven plant safety, security measures and get familiar with applications of smart IIoT.

After the completion of this course, students should be able to:

CO1: Analyze the key aspects of Industry 4.0.
CO2: Summarize the features of Smart IIoT and its industrial applications.
CO3: Explain the IIoT analytics for industrial processes.
CO4: Interpret the plant safety and security aspects.
CO5: Outline the frameworks for IIoT applications in industries.

Sudip Mishra, Chandana Roy, and Anandarup Mukherjee, Introduction to Industrial Internet of Things and Industry 4.0, CRC Press. , 2020

Sudip Mishra, Anandarup Mukherjee, and Arjit Roy, Introduction to IoT, Cambridge University Press. , 2022

R. Anandan, Suseendran Gopalakrishnan, S. Pal, N. Zaman, Industrial Internet of Things (IIoT): Intelligent Analytics for Predictive Maintenance, Wiley-Scrivener , 2022

Alasdair Gilchrist, Industry 4.0: The Industrial Internet of Things, Apress , 2017