• Course Title

• Course Description

• Course instructional level

• Course Duration

• Course Images

• Course Coordinator's Profile

• Prerequisites, if any

• Syllabus

• Course Outcomes

Course Title:

Certificate course on Smart Manufacturing

Course Description:

This course provides a comprehensive introduction to Smart Manufacturing, focusing on the integration of advanced technologies in modern production systems. Students will explore the use of Internet of Things (IoT), artificial intelligence (AI), robotics, and big data analytics in enhancing manufacturing efficiency, flexibility, and quality. The course covers topics such as digital twin technology, predictive maintenance, real-time monitoring, and cyber-physical systems. Students will also learn how smart factories utilize automation, connectivity, and data-driven decision-making to optimize production processes. Through case studies and hands-on projects, participants will gain practical skills in designing and implementing smart manufacturing solutions. By the end of the course, students will be equipped with knowledge of cutting-edge tools and techniques to drive innovation and improve productivity in the manufacturing industry.

Course instructional level:

Beginner/Intermediate/Advanced

Course Duration:

6 Month

Course Images

Course coordinator’s profile(s):

Dr. A. D. Urade
Dr. P. S. Deole

Prerequisites, if any:

Diploma and B. Tech. Degree Pursuing candidates of Mechanical Engineering and Industry working professionals

Syllabus (Course content):

Duration	Topics to be covered
10Hrs	Basics of Industrial Robotics Various application in industries, Safety for Robot
10Hrs	Product Description and Specifications: ROBOTS Robot Transport and Installation
20 Hrs	Operation of ROBOT: ROBOT Programming Basic & logical command used in program
20 Hrs	Robot practical Welding program Maintenance of Robots in Industry
10 Hrs	Fundamentals of Electronics and Mechatronics Basics of Electronics and Components
10 Hrs	Communication Protocols Various Micro Processors, Controllers Introduction to various Sensors
10 Hrs	IoT Application Arduino IDE loT Applications to fields and Cloud Concepts Introduction Raspberry Pi Hardware Integration
10 Hrs	Manufacturing Execution System Introduction to MES, Objective MES, Benefits Discrete, Continuous & Batch Manufacturing
10 Hrs	Manufacturing Organization Structure MES functionality, Integration of Business Layer Integration of Shop floor system MES Components and Systems Introduction
10Hrs	Automation & Process Control, Automation Purpose Basics of Control System PLC and HMI for MES PLC types, applications & programming SCADA Softwares and Design, HMI
15 Hours	Sensors and Actuators - Limit Switch, Prox. Sensor Integration of PLC, Conveyor Belt, Sensors. Pick to Light System - Overview and Working MES Software and Core Functionalities
5 hours	Capstone Project and evaluation

Course Outcomes:

• Understand key concepts of smart manufacturing, including IoT, AI, and robotics.
• Implement solutions for digital twins, predictive maintenance, and real-time monitoring.
• Leverage data analytics for informed decision-making in manufacturing.
• Design smart factories incorporating automation and cyber-physical systems.
• Optimize operations for improved efficiency and product quality.
• Gain hands-on experience through real-world projects.
• Stay informed on the latest trends and advancements in smart manufacturing technologies.