The Nine Pillars of Industry 4.0
The upsurge of new digital industrial technology, known as Industry 4.0, and it is the new revolution. This revolution makes it possible to accumulate and evaluate all valuable data through machines, enabling faster, and introduce an efficient procedure to generate superior quality goods at a reasonable price. This revolution will increase productivity, shift economic science, foster industrial growth, and modify the profile of the personnel—eventually changing the competing companies and regions.
Here are the top nine factors leading to Industry 4.0:
1. Virtual Reality
We are living in a computer-generated complex digital environment. The digital world is colliding with our physical world. Today we can travel anywhere in a heartbeat, design visualize showcase, demonstrate and customize products without a physical prototype. We can explore the unknown like never before. The unimaginable is coming to be true.
Technology has finally caught up with imagination, and the future is leading to Industry 4.0 revolution.
2. Additive Manufacturing
For thousands of years, manufacturing has been about removing excess materials until we get to the final shape. Digital Design data is used to create 3D designs which assemble under computer control. 3D printing will transform manufacturing.
We can start with nothing and build from the bottom up layer melted upon layer. Traditionally we join pieces together to form complex structures. 3D printing provides maximum design efficiency, and fewer joints reduce weak points with unlimited design flexibility. If you can dream it, then you could print it.
3. Internet Of Things
More and more devices are embedded and interconnected with computing, made up of omnipresent networks. There are connected computers and ubiquitous sensors on everything. This technique is intelligence on the periphery of the system.
It connected manufacturing, transportation, defence system, agriculture, infrastructure logistics and utilities, retail and business, oil, gas and mining, food services, hospitality, healthcare, homes, and residences.
Internet of things will enrich:
- Tracking behavior for real-time marketing and responses.
- Enhanced situational awareness
- Sensor-driven and decentralized analytics and decision making
- Process optimizations
- Instantaneous response in the complex autonomous system
- Optimize resource consumption
4. Big Data
There are vast untapped sets of data in the industrial world. Analyzing them will improve services, optimize production quality, and save energy. Eventually allowing real-time decision-making. Following are the core processes to analyze and collect data.
- Data management: It is a repeatable process to build standards for data quality.
- Data mining: pattern discoveries, noise filters, identify useful information.
- Predictive analytics: statistical algorithms and machine learning to identify future outcomes.
- In-memory analytics: analyze data from the system to gain immediate insights.
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5. Cloud Computing
Accumulating large quantities of data involves careful management, and providing a ‘Data warehouse’ facility to organizations is invaluable. Industry 4.0 revolution requires more data sharing across companies.
- Building intelligence using analytics and improving the performance of cloud technologies.
- Automating marketing, customer service, support, and order status
- Implement vendor managed inventory (VMI) to give real-time order status
- Cloud-based resource management to manage to manufacture globally
6. Advanced Simulation
Simulation is the key to cost control. Simulation drives innovation. It helps in making the best decisions, visualization, and forecasting. Simulations are going to be used broadly in plant operations to leverage real-time information and mirror the physical world in a very virtual model, which can combine machines, products, and humans. It will grant operators to examine and optimize the machine settings for the following product like the physical transition, machine setup times, and increasing quality as well.
7. Autonomous Robots
An object/process which can gain information about its environment, adapt and make decisions without the need for human intervention. Eventually, robots are starting the interaction process with humans, and similarly, it reduces workload companies face. These robots can be cheaper and have a vast scope of capabilities than those used in manufacturing today.
Learn More About Robotic Process Automation To Get A More In-Depth Insight About It
8. Universal Integration
With i4.0, companies, departments, functions, and capabilities will become much more close-knit, as cross-company, global data-integration networks evolve and empower automated value chains.
- Allows communications between different systems.
- Continuous identification during the production and logistics process with RFID.
- Types of machinery from across production lines and beyond can be linked up.
- Remote component documentation on the vehicle.
- To ensure everything runs autonomously and smoothly.
9. Cyber Security
The cyber threats are increased manifold with increased connectivity and communications. There will be a great need to protect the data, industrial system, and manufacturing lines. Industry 4.0 is not possible without connections which are secure, vigilant, and resilient. Protection of computer systems from piracy or corrupting the hardware, software or data and from disturbance of the services provided.
Are we prepared?
Presently, organizations are facing many challenges in the way of this new technology adoption. To produce and endure a lead in the race to full implementation, they need to expand and extend their expertise about digital technologies and the related use cases—and then establish and enforce tailored digital manufacturing strategies.
Lastly, it’s exciting to see how quickly we will accept this new technology to manage the workload. In reality, i4.0 is about improving efficiency and functionality by wrapping up the already existing capabilities and technologies through enabling total interoperability, collecting Big Data, and manipulating it.
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