As manufacturing evolves into Industry 4.0—with cyber-physical systems, IoT, big data, AI, and decentralized decision-making—the pressing challenge is: how to train the workforce to master these technologies? That's where the Dolang Industry 4.0 Training System comes into play.
The Evolution of Industry 1.0 to 4.0 and Beyond
Industry 1.0 – The Industry of Steam
The first industrial revolution began in England in the 1760s with the introduction of water and steam used to help transport goods from place to place. Steam was already known; however, it wasn’t until this time that it was used in industrial processes, making it the biggest breakthrough of its kind during the era. Industries such as glass, mining, agriculture, and textiles greatly benefited from this as they were now able to produce larger quantities of items due to the introduction of mechanization.
Industry 2.0 – The Technological Revolution
The rise of the Second Industrial Revolution began mostly in Britain, America, and Germany in the 1870s and was known as the “Technological Revolution.” During this time, electrical technology was introduced and powered machines unlike anything else. This made machines much more user-friendly and much more cost-efficient. It was also when mass production became a reality due to the creation of the assembly line. This allowed the invention and success of automobiles and planes.
Industry 3.0 – The Digital Revolution
The third industrial revolution in the 1970s sparked the beginning of IT and computer technology, known as the “Digital Revolution.” While the computers were much larger than what we currently use, they laid the foundational groundwork for current computers. While these computers were mostly automated, they did still need a human controller. Manufacturing and automation also advanced because of internet access, connectivity, and renewable energy. Industry 3.0 is still widely used in the workforce and has been a tremendous help in guiding Industry 4.0.
Industry 4.0 – Humans, Technology, and Sustainability
It’s been debated when Industry 4.0 began, but the term was coined in 2011, with the industry seeing great growth in smart machines, storage systems, and production facilities not needing any human interaction. The start of the Internet of Things (IoT) was created, which is an interconnected network of machine devices and vehicles embedded with computerized sensing, scanning, and monitoring capabilities. Sustainability has also been a big factor in Industry 4.0 as the world continues to improve the environment. The hope is that by developing more green technology using Industry 4.0, the three pillars of sustainability (environmental, economic, and social) will be see a big improvement.
From Industry 1.0 to the current 4.0, each one of these has shown tremendous change and growth in the world. It’s hard to imagine, with as much as things have already advanced, what else is there to think of? There is still a skills gap that must be closed if these industries are to survive. Trained individuals are very high in demand and needed to help with the continual growth. Let Dolang help you prepare your students the future of Industry 4.0 and beyond.
What is Industry 4.0 Training System
An Industry 4.0 Training System is a specialized, hands-on educational platform designed to teach students, technicians, and engineers the skills needed to work with smart manufacturing technologies and digitalized industrial processes. It bridges the gap between traditional manufacturing education and the advanced technologies used in Industry 4.0, such as:
● Internet of Things (IoT) integration
● Cyber-Physical Systems (CPS)
● Automation & Robotics
● Industrial Networking
● Big Data & Cloud Manufacturing
● Artificial Intelligence (AI) for production
● Digital Twin Simulation
● MES/ERP systems
Core Purpose
The system provides real-world, simulated production environments where learners can:
● Operate intelligent machines and sensors
● Analyze and interpret production data
● Manage automated workflows and connected devices
● Troubleshoot complex smart manufacturing setups
Key Components of Industry 4.0 Training System
1. Cyber-Physical Systems (CPS)
CPS refers to the integration of physical and digital elements in manufacturing processes. Machines, products, and systems are interconnected, enabling real-time data exchange and decision-making.
2. IoT and Sensors
The Internet of Things involves embedding sensors in machinery, products, and infrastructure to collect and transmit data. This data is then used for monitoring, optimization, and predictive maintenance.
3. Big Data and Analytics
Industry 4.0 leverages vast amounts of data generated by IoT devices. Big data analytics and machine learning algorithms process this data to gain insights, enhance efficiency, and make informed decisions.
4. Artificial Intelligence and Automation
AI technologies, such as machine learning and robotics, play a pivotal role in automating tasks, optimizing processes, and improving quality control.
5. Decentralized Decision-Making
Industry 4.0 promotes decentralized decision-making, where systems and machines have the autonomy to respond to changing conditions without human intervention.
Key Features & Advantages of Industry 4.0 Training System
Modular design – allows scaling from a single training station to a complete production line simulator
Multi-discipline learning – combines mechanical, electrical, automation, and IT concepts
Interactive software integration – connects physical equipment with simulation platforms
Upgradeability – supports adding new modules as Industry 4.0 technologies evolve
Industry 4.0 Training System Application
For Schools/Universities – creates a competitive, future-ready curriculum
For Technical Training Centers – accelerates skill development for emerging jobs
For Industry – helps upskill current employees to operate next-gen manufacturing systems
The Future of Industry 4.0
Industry 4.0 represents a paradigm shift in manufacturing, enabling greater flexibility, efficiency, and responsiveness to customer needs. Companies that embrace this revolution can reduce production costs, minimize downtime, improve product quality, and enhance sustainability.
As we move forward, the lines between physical and digital systems will continue to blur. Advances in AI and machine learning will lead to more autonomous and adaptive manufacturing processes. Additionally, the use of 5G technology will further enhance connectivity, facilitating real-time communication and remote monitoring.
How to Integrate Industry 4.0 Training in Your Institution
1. Explore Our Solutions
Visit the Industry 4.0 Training System page to browse our portfolio, including digital twin platforms and collaborative manufacturing modules.
2. Select Your Preferred Model
Choose between modular learning units or fully integrated simulation systems tailored to your lab size and learning objectives.
3. Deploy & Train
We provide fast deployment, instructor training, and full technical support to ensure seamless integration.
4. Continuous Evolution
As Industry 4.0 tools evolve, our systems can be upgraded—keeping your curriculum always aligned with the latest manufacturing technologies.
In short, an Industry 4.0 Training System is like a miniature smart factory that you can use for education and workforce training—combining theory, simulation, and practical operation in one environment. By integrating the Industry 4.0 Training System into your curriculum, you empower institutions to stay ahead, students to become industry-ready, and educators to deliver meaningful, future-proof learning experiences.
