From Relays to Industrial Software: 60 Years of Efficiency Revolution

Looking back over six decades of industrial progress, a clear pattern emerges: the tools we use define our efficiency. From the early days of hard-wired relay panels to today’s intelligent software platforms, each leap has fundamentally reshaped manufacturing. Understanding this trajectory helps us grasp where the industry is headed next.

The PLC: A Landmark in the Third Industrial Revolution

In the narrative of Industry 4.0, the Programmable Logic Controller (PLC) is often cited as the defining technology of the third industrial revolution. Before its widespread adoption, automating a production line—such as in an automotive plant—was an enormously complex electrical engineering challenge. Control logic was implemented using hundreds or even thousands of physical relays, hard-wired together. This approach was not only labor-intensive but also prone to errors and difficult to modify. A single design change could require extensive rewiring, leading to costly downtime.

The introduction of the PLC changed everything. By replacing physical wiring with software-based logic, it dramatically reduced the complexity of electrical control systems. Engineers could now program and reprogram machine behavior using ladder logic or other intuitive languages, often after just a short training period. This shift slashed the time and cost required to build and maintain automated lines. The result was a surge in the number of automated factories, as the technology became accessible to a much wider range of industries. The PLC didn’t just improve efficiency; it democratized automation.

Moore’s Law and the Economics of Digital Tools

The current wave of intelligent manufacturing is fueled by a force that has been at work for over 60 years: Moore’s Law. Its impact can be compared to the historical shift from bronze to iron tools in agriculture. Before iron smelting became economical, farmers used inefficient wooden sticks for planting. While copper plows were technically possible, copper was far too expensive for widespread use. Iron technology lowered the cost of metal tools, making them economically viable and triggering a leap in agricultural productivity that transformed societies.

Similarly, Moore’s Law has relentlessly driven down the cost of digital computing power. The earliest PLCs, built from discrete components and medium-scale integrated circuits, were early beneficiaries of this trend. Today, after decades of exponential growth in transistor density, we have the affordable processing power needed for sophisticated industrial software. The key question now is: what are the most essential tools for today’s enterprises? The answer increasingly points to versatile industrial software platforms that can be tailored to specific needs.

Who Are These Tools Really For?

A critical but often overlooked question is: whose tools are these? A PLC is not just a tool for the automotive factory; it is primarily a tool for the electrical engineers who design the control systems and the maintenance technicians who keep them running. The same principle applies to modern industrial software. When we talk about digital factories, we discuss intelligent decision-making, data analysis, and model optimization. These tasks are performed by skilled professionals—data scientists, process engineers, and control system integrators. Their work is often slow, demanding, and prone to failure without the right instruments.

The real value of industrial software lies in empowering these individuals. In advanced plants, such as those in the steel industry, data-driven optimization has been practiced for decades. What has changed is not the fundamental techniques but the economic logic. Tasks that were once prohibitively expensive are now cost-effective, thanks to tools like CAD/CAE software, data analytics platforms, and easy-to-deploy data acquisition systems. The goal is to make complex tasks cheaper, faster, and more reliable.

The Overlooked Imperative: System Maintainability

A lesson from software engineering is that over 70% of a system’s lifecycle cost is spent on maintenance. For successful platforms like ERP or MES, this figure can exceed 99%. In industrial settings, the go-live of a system is not the end of development but the beginning of a continuous maintenance journey. The longevity and usefulness of a system are determined by how easily it can be adapted to changing business requirements. Many companies have invested heavily in MES and ERP only to see them fall into disuse because maintenance couldn’t keep pace with evolving needs.

Large enterprises may establish internal digital subsidiaries to handle this, but for most manufacturers, that’s not feasible. SaaS solutions offer shared maintenance capabilities, yet the deep customization required in industrial contexts often limits their effectiveness. The rise of industrial internet platforms has made maintenance a continuous, high-volume activity. One steel plant reportedly developed over 2,000 apps on its platform within a year of launch. This turns system upkeep into a daily operational necessity, tightly integrated with continuous improvement processes.

Platforms as Enablers of Continuous Improvement

The true promise of industrial IoT platforms and digital twins is not just in monitoring but in enabling ongoing enhancement. They should serve as toolkits that allow engineers to add new functions, modify existing ones, and analyze data to uncover root causes—all with minimal friction. Modern platforms from major automation vendors are essentially data collection and analysis tools for engineers. Similarly, advanced analytics software acts as a power tool for data scientists. These are not monolithic solutions but flexible environments designed to boost the productivity of technical professionals.

A Personal Glimpse of Technological Progress

The pace of change can be staggering. Consider a visit to a continuous casting plant in a major steel mill. The first line, built in the late 1970s, used numerous PLCs but still required hundreds of electrical cabinets to house the control equipment. Less than two decades later, a second continuous caster was commissioned in the same facility. The electrical room for this newer line contained only about a dozen cabinets. The dramatic reduction in hardware footprint was a direct result of advances in microelectronics, software integration, and control system design. This consolidation not only saved space but also greatly simplified maintenance and improved reliability.

The Future: Tools for an Intelligent Era

As information integration deepens, the potential for cross-system optimization grows. The next frontier is eliminating the “breakpoints” where human decision-making interrupts automated workflows. By embedding analytical tools directly into the operational environment, we can achieve faster, more consistent decisions. However, the indirect value of these tools is often underestimated. Because they enhance the work of others rather than directly producing goods, their contribution can be overlooked in traditional ROI calculations. Management must recognize that investing in engineering tools is investing in the fundamental capability of the organization.

Moore’s Law continues to lower the cost of creating tools, and those tools in turn elevate human productivity. The history of civilization is the history of toolmaking. From the PLC to the industrial internet platform, the lesson remains the same: the key to the next industrial era lies in equipping people with better instruments to think, design, and improve.