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Self Paced

Advanced Manufacturing and Smart Factories Program

Revolutionize Production with Advanced Manufacturing and Smart Factories

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MODE
Online/ e-LMS

TYPE
Self Paced

LEVEL
Moderate

DURATION
1 Month

About

The Advanced Manufacturing and Smart Factories Program provides in-depth knowledge of cutting-edge manufacturing technologies and the digital transformation of traditional factories into intelligent, interconnected systems. Participants will gain practical skills in automation, the Internet of Things (IoT), data analytics, and artificial intelligence (AI) applications in manufacturing. This hands-on program focuses on developing skills for efficient and sustainable production, predictive maintenance, and quality assurance in smart factory settings.

Aim

This program is designed to empower professionals with advanced skills in manufacturing technologies and the principles of smart factories. Participants will explore automation, data integration, and real-time analytics to optimize production processes, reduce waste, and enhance quality. The program covers the latest in digital manufacturing and Industry 4.0, preparing participants to lead in the era of smart manufacturing.

Program Objectives

Understand the principles and technologies driving advanced manufacturing and smart factories.
Develop skills in industrial IoT, data analytics, and real-time monitoring for efficient manufacturing.
Gain hands-on experience in robotics, automation, and digital twin technology.
Learn best practices for cybersecurity and sustainable manufacturing.
Complete a capstone project to design and demonstrate a smart manufacturing solution.

Program Structure

Module 1: Fundamentals of CNC Machining and Precision Manufacturing

Overview: This module covers the basics of CNC machining and precision manufacturing, focusing on techniques for high-accuracy production.
Topics Covered:
- CNC machine operations and G-code programming
- Tool selection, fixture design, and work-holding methods
- Quality control and tolerancing in CNC machining
Project: Program and operate a CNC machine to manufacture a high-precision component, emphasizing accuracy and efficiency.

Module 2: Robotics and Automation in Smart Factories

Overview: Learn the principles of robotics and automation, focusing on the integration of robots in manufacturing environments.
Topics Covered:
- Types of industrial robots and robotic programming
- Robotics applications in assembly, inspection, and material handling
- Collaborative robots (cobots) and safety in automation
Project: Design a robotic cell for a specific manufacturing task, integrating safety and precision requirements.

Module 3: Digital Twin Technology and Virtual Factory Modeling

Overview: Explore digital twin technology, covering virtual factory modeling, data integration, and real-time system simulation.
Topics Covered:
- Basics of digital twin technology and applications
- Virtual modeling of production lines and factory processes
- Real-time data integration and performance monitoring
Project: Develop a digital twin model of a production line, simulating real-time operations and testing optimization strategies.

Module 4: Data Analytics and Predictive Maintenance in Manufacturing

Overview: Learn data analytics in manufacturing, focusing on predictive maintenance and system optimization through real-time data.
Topics Covered:
- Data acquisition and analytics in manufacturing
- Machine learning for predictive maintenance
- Minimizing downtime through predictive modeling
Project: Implement a predictive maintenance model for a CNC machine, using data analytics to forecast maintenance needs and prevent breakdowns.

Module 5: Capstone Project in Advanced Manufacturing and Smart Factories

Overview: Apply your skills in a capstone project focused on developing and optimizing a smart manufacturing environment.
Project Options:
- Design an automated production line incorporating CNC machines, robotics, and data monitoring.
- Create a digital twin for an assembly line, implementing real-time data integration for process optimization.
- Develop a predictive maintenance strategy for critical manufacturing equipment, reducing downtime and improving productivity.
Outcome: Complete a comprehensive project demonstrating your ability to integrate CNC machining, digital twin technology, robotics, and data analytics in a smart manufacturing setting.

Participant’s Eligibility

Mechanical and Manufacturing Engineers: Looking to specialize in CNC machining, digital twin, and automation.
Engineering Students and Graduates: Interested in Industry 4.0 and smart factory operations.
Professionals in Automotive, Aerospace, and Process Engineering: Seeking to optimize manufacturing processes through smart factory technologies.

Program Outcomes

Expertise in smart factory technologies including IoT, automation, and AI applications.
Practical skills in robotics programming, real-time data analytics, and cybersecurity.
Knowledge of sustainable manufacturing practices to enhance productivity and reduce costs.
Ability to design and implement integrated systems for quality and efficiency in production.

Fee Structure

Standard Fee: INR ~~9,998~~ USD ~~298~~

Discounted Fee: INR 4999 USD 149

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

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Key Takeaways

Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam	Weightage
Mid Term Assignments	50 %
Project Report Submission (Includes Mandatory Paper Publication)	50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.