Digital Transformation in Manufacturing

Demystifying Manufacturing Analytics: Navigating the Future of Industry 4.0 + Python for Data Science + Introduction to Machine Learning Using R

Program Details

The Federation of Global Industry and Trade (FGIT) and Walmart Center for Tech Excellence (WCTE) at IIT Madras to offer training to the industry members and all other members of FGIT. WCTE at IIT Madras would be providing thought leadership to the members who are enrolled with FGIT. WCTE at IIT Madras will be providing short term Executive Masterclass around digital transformation, adoption etc. which mainly focuses on the Mid and Senior Leadership profiled audience.

Participants:

  • Senior Management professionals from the manufacturing sector

Faculty:

  • IITM and IITB associated professors & Industry Experts

Brief Description About the Program

The course titled “Demystifying Manufacturing Analytics: Navigating the Future of Industry 4.0” is a comprehensive program crafted to help senior management in manufacturing sectors understand and implement manufacturing analytics and Industry 4.0 technologies. It aims to provide senior management with a deep dive into the transformative power of manufacturing analytics and advanced technologies shaping the future of production. In an era where data drives innovation and efficiency, this course empowers leaders to harness Industry 4.0 technologies—such as IoT, big data, AI, and computer vision—to enhance operational efficiency, reduce costs, and stay competitive. This masterclass is also relevant to professionals and leaders in the manufacturing domain as it aims to equip them with the insights and tools needed to drive efficiency, optimize operations, and make data-driven decisions for sustainable growth in the rapidly evolving manufacturing landscape.

Course Structure

Day 1: From Digitization to Digital Transformation

Definitions and Differentiation:

  • Digitization: Transitioning from analogue to digital data.
  • Digitalization: Using digital data to optimize processes.
  • Digital Transformation: Reimagining manufacturing with technology.

Industry 4.0 and Smart Manufacturing: 

  • How smart technologies are shaping the manufacturing landscape.
  • Benefits and Challenges of Digital Transformation: 
  • Impact on planning, Quality, operation, Safety, Traceability and Audit.
  • Productivity gains, cost reductions etc.

Day 2: Data as the Foundation of Manufacturing Analytics:

  • Types of Data in Manufacturing:
  • Production data, quality data, machine data, and inventory data.
  • Sources of Manufacturing Data:
  • Sensors, IoT devices, ERP systems etc.
  • Data Integrity and Quality:
  • Ensuring accuracy, timeliness, and completeness of data.
  • Use cases based on data type:
  • The Role of Big Data in Manufacturing

Day 3: Predictive and Prescriptive Analytics for Manufacturing

  • Predictive Analytics: Forecasting demand using historical data and trends.
  • Predictive maintenance
  • Prescriptive Analytics: Optimizing decisions based on predictive insights.
  • Knowledge Repository

Day 4: Supply Chain – Planning and Inventory Management

  • Managing uncertainty and variability in the supply chain:
  • Inventory Management Models:
  1. EOQ (Economic Order Quantity), ABC analysis, etc.
  2. Using analytics to improve procurement, production, and logistics processes.
  • Optimization Techniques

Day 5: IoT Trends for Manufacturing

  • The Kaatru Project Case Study:
  • An in-depth review of the Kaatru IoT project.
  • Predictive Maintenance

Immersion Event: Exploring Future Trends in Manufacturing Analytics

Session 1: Computer Vision and Defect Detection

  • Overview of Computer Vision: Basics of computer vision and its application in manufacturing.
  • Defect Detection: â—‹ Identifying quality defects in products using machine vision.

Session 2: Future Trends in Manufacturing Analytics

  • How AI in Manufacturing
  • Edge Analytics
  • Digital Twinning

COMPLEMENTARY BONUS COURSES (Worth INR 60,000)

Python for Data Science
4-week comprehensive recorded course

Introduction to Machine Learning Using R
8-week structured program

*Get 3 Professional Courses from WCTE-IIT Madras at the Cost of One.

Complementary Course Details

Programme Fees

The programme fees for this course is Rs 50,000/- + GST for Members and Rs 65,000/- + GST for Non-Members which include cost of Course Learning Material & Examination fees.

Timeline and Participants

The estimated time period for the training programme is 5 live sessions + 1 immersion total 23 hours.

  • The number of participants is expected to be 30
  • Tentative date for training is December (Initiate December mid conclude Jan Mid).

Key Take Away of the Masterclass

  • Understanding Digital Transformation Stages: Gain clarity on the foundational concepts of digitization, digitalization, and digital transformation, and how they collectively enhance manufacturing processes.
  • Data as a Strategic Asset: Learn about various types of manufacturing data (production, quality, machine, and inventory) and data integrity principles to ensure accuracy and completeness.
  • Predictive and Prescriptive Analytics: Discover how to apply predictive analytics for demand forecasting and prescriptive analytics techniques.
  • Supply Chain Optimization: Explore analytics-driven techniques to streamline procurement, production, and logistics.
  • IoT and Smart Manufacturing: Delve into real-world IoT applications with the Kaatru IoT project, and understand how IoT can enhance machine monitoring, maintenance, and productivity.
  • Emerging Technologies: Gain exposure to cutting-edge trends such as AI-driven defect detection and edge analytics, which will be crucial for staying ahead in the evolving manufacturing landscape.
  • How to harness the benefits of data science in your organization.

Some FAQs

Who should attend. Or who will be the most beneficial out of this masterclass ?

This course is ideal for senior executives, manufacturing managers, operational leaders, and decision-makers who are responsible for or engaged in digital transformation efforts within manufacturing organizations. Leaders who wish to develop a strategic understanding of Industry 4.0 technologies and apply analytics to optimize processes, make informed decisions, and drive value from data will find this course particularly beneficial. 

Any focused sector?

The program is specifically designed for the manufacturing sector, with applications across various industries including automotive, aerospace, consumer goods, oil and gas, and more. It is especially relevant for organizations seeking to leverage Industry 4.0 principles and advanced analytics to remain competitive in a global market.

Title of the masterclass?

“Demystifying Manufacturing Analytics: Navigating the Future of Industry 4.0”