What’s the difference between Industry 3.0 and 4.0?

In IR 3.0, computerisation and automation were considered important aids in improving productivity, and were given an enormous thrust. In IR 4.0, every process, machine and activity is broken down to the basic granular level and treated as a data point. Various measurement metrics are monitored for these data points to help in data-driven decision-making.

How does one implement 4.0?

IR 4.0 is an ongoing process, with connectivity being the key. A business in this context must establish connection protocols for every machine in their ecosystem with the corporate network, which is fast and secure. Organisations must establish a clear cut plan of action with timelines to establish connectivity. As a next phase, a rigid signal capture and data storage system must be put in place. Data-driven decision-making models and protocols that can provide automated feedback to the system must be established. Training and sensitisation of employees towards the principles of IR 4.0, and software and hardware upgrades to meet the requirements of IR 4.0 connectivity are also important factors.

How is 4.0 advantageous?

It enables easy backend integration with ERP/MES etc. It allows for various micro-services and the distribution of various functionalities to different nodes. 4.0 also makes resource management easy with transparent and monitored communication pathways. It is easy in this environment to add new protocols and processes as an additive measure. It is also possible to establish communications among various components and profit centres on the shop floor.

What is the difference between IR 4.0 and Lean and Six Sigma?

Lean manufacturing is an ongoing process of identifying wasteful practices, reducing costs and improving quality. Under the IR 4.0 paradigm, the focus is on connections among the various assets and nodes in an organisation. IR 4.0 architecture will eventually help achieve the goal of Lean.

What are the risks of IR 4.0 solutions?

Some of the key concerns that need to be addressed before moving to an IR 4.0 architecture are cyber security, handling an enormous volume of data, resource training and deployment, and very long ROI cycles that may lead to the company’s management pulling the plug midway.

What is the difference between IR 4.0 and internet of things?

The Internet of Things (IoT) is a term that stands for the connections of processes, people, data and devices over an IT network. IoT enables the connectivity of machines and equipment on the factory floor. It is an important component of Industry 4.0.

What is the difference between IR 4.0 and industrial internet of things?

The Industrial Internet of Things (IIoT) is a term that stands for the Internet of Things (IoT) in an industrial environment. IIoT solutions are part of cyber-physical technologies that define the fourth Industrial Revolution. It encompasses additional solutions such as Additive Manufacturing, Digitisation of Business Processes and Advanced Control Systems.

Does IR 4.0 help my business? How?

Industry 4.0 solutions improve the efficiency, quality and utilisation of factory operations. Businesses across geographies have shown improved factory productivity and product quality, and reduced operating costs after adopting Industry 4.0 solutions. Simply put, Industry 4.0 helps manufacturers make more in less time, and with fewer resources.

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Workshop on IR 4.0 in India

This workshop is designed to guide Decision-Makers with best practices of IR 4.0. Learn to implement and make informed decisions while preparing implementation roadmaps for advanced technologies.

Get Trained by Trainers from ISB, IIT & IIM
16 Hours of Intensive Classroom & Online Sessions
Business Strategies in Implementing Industry 4.0
Industry 4.0 Roadmap & Maturity Continuum
Access to IR 4.0 Implementation Templates

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Academic Partners & International Accreditations

The Department of Heavy Industry (GoI) has launched its Industry 4.0 initiative titled Smart Advanced Manufacturing and Rapid Transformation Hub (SAMARTH)" - (Source). The industrial revolution is extremely relevant and has increasingly gained importance in the manufacturing industry for ample reasons. It is marked by advances in technologies like artificial intelligence (AI), augmented/virtual reality, big data, analytics, and the Internet of Things. When these technologies are used in the workplace, they give way to a fresh approach to create ways that add value to a business or an organization. The industrial revolution has also enabled the formation of digital ecosystems and promoted engagement with consumers on a large scale. IR4.0 has created opportunities for manufacturers to improve their operations and analyze the tremendous amount of data collected and identify patterns and insights to inform what needs attention. This course in India will expose you to the key technologies associated with Industry 4.0.

Workshop on IR 4.0

Program Cost

INR 25,280 17,700/-

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Industrial Revolution 4.0 Workshop Overview

Join the exclusive Industrial Revolution (IR) 4.0 workshop for decision-makers. Learn the implications of IR 4.0 for your business. Learn the various stages of industrial revolutions and understand the difference between IoT and IIoT. You will also learn how human-machine collaborative efforts are supported by the cloud. Explore Predictive Analysis, Big Data, and Automation, the compelling forces for Industry 4.0’s advancement. The workshop has been specially designed for mid to senior-level executives and IR 4.0 consultants to help them understand how to adapt businesses to IR 4.0. The two-day workshop lays down the principles and applications of IR 4.0 technologies. Decision-makers will learn about the challenges and best practices of IR 4.0 implementation from industry use cases. The workshop will empower them to make informed decisions while preparing implementation roadmaps for advanced technologies such as the Industrial Internet of Things, Cloud Computing, Big Data, Machine Learning, Artificial Intelligence, Cyber-Physical Systems, and Cognitive Computing.

Definition

A significant transformation of digitization in manufacturing is referred to as the fourth industrial revolution. The adoption of smart and autonomous systems powered by data and machine learning in manufacturing has brought this revolution. This smart factory is nothing but a combination of the Internet of Things and cyber-physical systems used to improve business, enable faster, more flexible processes to increase productivity and foster industrial growth. These digital technologies are changing the production dynamics between suppliers, producers, and customers.

IR 4.0 Workshop Learning Outcomes

The Industrial Revolution is very much driven by smart technology that has changed the engineering environment at a fast pace. The fourth industrial revolution has facilitated digitalization and integration of value chains, products and business models that offer significant value to organizations through tailored made solutions. The IR 4.0 has contributed to the amalgamation of the digital and physical world with a vision and concept in motion to enable autonomous decision-making processes, cutting the inefficiencies and monitoring assets. This course provides comprehensive coverage of the applications of IR 4.0 in the business world. You will gain deep insights into the various stages of industrial revolutions, explore the power of Cloud Computing in a networked economy, and acknowledge the smartness of major IR 4 systems. You will also learn about Cyber Systems from the Industrial Systems perspective and will understand Automation and Robotics, Augmented Reality and Virtual Reality, Big Data, and Analytics. Besides, students will learn the key skills required in the data analytics space and operating systems in IIoT deployments.

Be familiar with Cloud Computing and Robotic Process Automation

Understand key technologies related to IIoT and Industrial Applications of Data Analytics

Learn about Cyber Security and Cyber Systems from the Industrial Systems perspective

Know the use of Machine Learning and Artificial Intelligence using Big Data

Appreciate the role of leadership combined with technology

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16 hours

Classroom Sessions

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Who Should Sign Up?

Professionals
IR 4.0 consultants
Factory heads, Operations heads
Senior executives
Research and Development heads
Manufacturing plant heads

Industrial Revolution 4.0 Workshop Modules

"Industry 4.0" is a combination of various innovations in digital technology that has transformed the manufacturing industry enabling a powerful way of running global operations. It has revolutionized production, processes, systems, logistics, and service provision resulting in short production cycles, instant responses to customer needs, and timely completion of orders because of smart production lines. Through these modules’ students will closely examine the full range and scope of factors driving IR 4.0 and its impact. Learn the application of IoT in industrial space and explore automation, cybersecurity, robotics, additive manufacturing, 3D printing, blockchain and augmented reality. You will also learn about the application, challenges, and best practices of IR 4.0. This workshop on IR 4.0 will provide a roadmap to implement IR 4.0 and find new avenues of growth.

1. Introduction to IR 4.0

2. IR 4.0 – the factors driving it and its impact

3. IoT and its Application in Industry (IIoT)

4. Storing sensors data on Cloud – Cloud computing

5. Analysing stored data – Big Data Analytics

6. Analysing stored images and video data – Artificial Intelligence

7. Automation, Cybersecurity and Robotics

8. Robotic Process Automation (RPA)

9. Additive Manufacturing, 3D Printing

10. Blockchain and Augmented Reality

11. Applications of IR 4.0

Trend in IR 4.0

We are in an era that is driven by technologies of data science, artificial intelligence, social media, cloud, and the Internet of Things. Technology trends that are going to be the building blocks of IR 4.0 describe how they can improve manufacturing productivity. Data collected from different sources like sensors in production equipment and management systems will be analyzed to support real-time decision making. Autonomous robots will be seen interacting with humans and display a greater range of capabilities. With horizontal and vertical integration between departments, functions, and companies will develop data-integration networks that will enable truly automated value chains. The Industrial Internet of Things will allow field devices to communicate and interact enabling real-time responses.

But this increased connectivity will also give rise to concerns regarding the need to protect critical systems and lines from cybersecurity threats. Therefore, secure and reliable access management of machines will become essential. Addictive manufacturing, such as 3-D printing, will be used to design and create complex customized products, lightweight designs. Augmented reality will be one trend to watch out for because it will provide services like selecting parts in a warehouse or sending instruction regarding repairs over digital devices that will in turn facilitate better decision making and work procedures. Companies who are embracing technology realize the potential of Industry4.0. So, attend the workshop IR4.0 and become a part of the changemaker’s rally.

How we prepare you

Realtime Use Case Scenarios
Live Free Webinars
Resume and LinkedIn Review Sessions
Lifetime LMS Access
24/7 Support

Job Placements in Industry 4.0 fields
Complimentary Courses
Unlimited Mock Interview and Quiz Session
Hands-on Experience in Live Projects
Offline Hiring Events

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Professional Course in
Data Science & AI

3

72

3472

Professional Course in
Data Science & AI

3

72

3472

Professional Course in
Data Science & AI

3

72

3472

Professional Course in
Data Science & AI

3

72

3472