Objectives

• 1. Introduction to Industry 4.0:- Define Industry 4.0 and its evolution in manufacturing.- Understand the key principles and characteristics of Industry 4.0.2. Core Technologies:- Explore the foundational technologies of Industry 4.0, includingIoT, AI, cloud computing, and big data analytics.- Understand the role of cyber-physical systems in manufacturing.3. Smart Manufacturing Systems:- Learn how to design and implement smart manufacturing systems.- Explore the integration of sensors and actuators for real-time data monitoring and control.4. Connected Devices and IoT:- Understand the concept of the Industrial Internet of Things (IIoT).Explore the deployment and management of connected devices in industrial settings.5. Data Analytics and Predictive Maintenance:- Gain skills in data analytics for manufacturing optimizationLearn how predictive maintenance using data analytics can enhance operational efficiency.6. Digital Twin Technology:- Understand the concept of d

Outcomes

1. Comprehensive Understanding of Industry 4.0:- Students will develop a thorough understanding of the principles, evolution, and key characteristics of Industry 4.0, gaining insights into its transformative impact on manufacturing.2. Proficiency in Core Industry 4.0 Technologies:- Participants will acquire proficiency in core Industry 4.0 technologies, including IoT, AI, big data analytics, and cyber-physical systems, enabling them to analyze and implement these technologies in industrial settings.3. Application of Smart Manufacturing Systems: - Students will be able to design and implement smart manufacturing systems, integrating sensors and actuators for real- time monitoring and control, thereby enhancing operational efficiency.4. Strategic Decision-Making through Data Analytics:- Participants will develop skills in data analytics for manufacturing optimization, enabling them to make informed strategic decisions and implement predictive maintenance practices..

Course Contents

Introduction to Industry 4.0- Definition and evolution of Industry 4.0-Key principles and characteristics- Impact on global manufacturing landscapes Core Technologies of Industry 4.0- In-depth exploration of IIoT and its applications- Role of Artificial Intelligence (AI) in manufacturing- Overview of cloud computing and big data analytics Smart Manufacturing Systems- Designing smart manufacturing systems Integration of sensors and actuators for real-time monitoring- Case studies on successful smart manufacturing implementations: Connected Devices and IoT in Manufacturing- Understanding the Industrial Internet of Things (IIoT)- Deployment and management of connected devices- Practical applications in industrial settings Data Analytics and Predictive Maintenance- Introduction to data analytics for manufacturing optimization- Predictive maintenance strategies and implementation- Real-world examples of data-driven

Description

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