Key Trends Shaping the Future of Industrial Automation

Key Trends Shaping the Future of Industrial Automation

1. AI and machine learning integration i. Predictive maintenance: AI will anticipate equipment failures before they occur, reducing downtime.
   ii. Autonomous decision-making: Machine learning models will optimise supply chains, energy use and process quality without human intervention.

2. IIoT i. Machines, sensors and systems will be interconnected in real time.
   ii. Data-rich environments will enable granular control and diagnostics at every step of the production process.

3. Edge and cloud computing i. Edge computing will allow faster, local decision-making on factory floors.
   ii. Cloud platforms will unify data from global operations for enterprise-wide optimisation.

4. Collaborative robots (cobots) i. Cobots will work alongside humans in safer, smarter ways.
   ii. They will be used especially in assembly lines, quality inspection and packaging.

5. Digital twins i. Virtual replicas of factories, machines or processes will enable simulation, testing and optimisation before physical implementation.

6. Cybersecurity-driven automation i. As automation increases, so do cyber threats.
   ii. Future systems will have built-in AI-powered threat detection and response.

7. Sustainable manufacturing i. Automation will help reduce waste, energy usage and emissions.
   ii. Carbon footprint tracking will be embedded into systems via automation tools.

8. Human–machine collaboration i. Future automation will augment rather than replace human roles—especially in decision-making, supervision and exception handling.

9. Low-code/no-code automation tools i. Operators and engineers will design workflows and automation logic without deep coding knowledge.

10. 5G and next-gen connectivity i. Ultra-fast and reliable networks will allow real-time data exchange across distributed industrial sites.

We will discuss a few of these key trends in this chapter.

The 3 Ps: Process Automation, Plant Machinery, People Enablement

Any conversation on manufacturing automation quickly tends to get very technical and complex. To make it a bit simpler and to logically divide the areas of automation, it is helpful to divide the entire scope of automation into three simple categories.

Let us call them the 3 Ps of automation: process automation, plant machinery and equipment, and people enablement. These are the three pillars of any manufacturing facility, big or small.

Process automation controls the physical process of manufacturing, starting from the raw materials through every step of value addition to the finished products. Sophisticated automation improves the process, safety, efficiency, throughput and quality of the products. Automation for plant machinery and equipment helps control the complex procedures that use this equipment for various critical manufacturing operations. Automation helps in increasing the plant’s effectiveness, reducing upsets and breakdowns and increasing the life of expensive machines and equipment.

The people who are responsible for various departments of the manufacturing facilities can also be aided by automation. Automation makes the workers effective, helping them know what is happening and why and what actions may need to be taken in case of any abnormal situations. Companies who are global leaders in their respective manufacturing industries take this comprehensive approach to deploy automation for their process of manufacturing, plant equipment and people workflow. Unlike a decade ago, before they embark upon a large roll-out, they now have a way to check out the impact and benefits in a virtual world using digital twins.

Digital Twins: Helping Take Automation to the Next Level

The world over, manufacturers are under intense pressure to meet global demand under increasingly challenging circumstances. In a resource-constrained environment where talent gaps and supply chain shortages are the norm, digital twins are emerging as a frontrunner technology for scaling capacity rapidly, increasing resilience and driving more efficient operations. In fast-paced, continuous operations, manufacturing digital twins—real-time virtual representations of the entire manufacturing facility—provide manufacturers with the ability to support faster, smarter and more cost-effective decision-making. They can deepen manufacturers’ understanding of complex physical systems and production operations, optimise production scheduling or simulate ‘what-if’ scenarios to understand the impact of new product introductions and so on.

Digital twins are a computer-simulated representation of a physical system. They are also real-time virtual renderings of the physical world. Digital twins can be developed for individual products, assets in the factory, the entire manufacturing facility and end-to-end systems across the complete enterprise. While each of these twins answers different, specific questions, they all enhance the understanding of complex physical systems and improve their operations, automation philosophy and overall decision-making.

Process Twin

This is a fully digital representation of individual products, which captures the as-built condition in detail, assisting with root-cause problem solving of quality defects, warranty analytics and product improvements.

Asset or Equipment Twin

A real-time representation of factory assets, informed through PLCs, sensors and IoT devices, these twins enable predictive maintenance and help optimise manufacturing yield, energy consumption and throughput.

Manufacturing Facility Twin

A complete manufacturing plant or factory is digitally represented using data feeds from assets, manufacturing execution systems, enterprise resource planning and human–machine interfaces, enabling dynamic, automated production scheduling and what-if scenario analyses.