In the realm of industrial automation, two distinct paradigms exist. The first is the traditional landscape, where businesses embrace basic automation solutions such as robotic arms, pick-and-place systems, and data collection for analysis. In these environments, even minor automation efforts can significantly enhance productivity and efficiency.
On the opposite end of the spectrum is the advanced realm of early adopters, where factories operate autonomously, employing robots to build robots and relying on AI for decision-making. This vision of lights-out manufacturing, reminiscent of science fiction like I, Robot and Cyberdyne Systems, represents the cutting edge of technology.
Most organizations, however, find themselves in a middle ground, utilizing a mix of modest automation tools and comprehensive enterprise systems. For these businesses, the concept of hyperautomation offers a transformative opportunity to bridge the gap between IT (Information Technology) and OT (Operational Technology).
The term small automation was first articulated in 2019 by strategists at PwC, who described it as the rapid deployment of adaptable technologies aimed at enhancing productivity by addressing gaps left by traditional enterprise systems. While their initial focus was on IT technologies such as Robotic Process Automation (RPA), machine learning, and natural language processing, small automation is also making significant inroads in operational technology.
Examples of small automation include:
By linking industrial technologies with enterprise systems, small automation has driven notable efficiency and profitability gains over the past decade.
Hyperautomation represents the evolution of automation by striving to automate every aspect of a process, minimizing manual intervention. This approach integrates technologies like Business Process Management (BPM), RPA, and AI-driven workflows to streamline operations effectively.
Unlike conventional automation that focuses on single tasks, hyperautomation encompasses entire workflows within cohesive digital platforms, offering real-time visibility and management. According to Johan Jonzon, CMO of Crosser, "The goal of a hyperautomation strategy is to eliminate unnecessary steps in the process of completing a task and automate those remaining." This approach not only streamlines business processes but also boosts overall efficiency.
It's essential to understand that hyperautomation and small automation are not adversarial concepts; rather, they complement one another to enhance operational efficiency across IT and OT layers. Hyperautomation seeks to achieve comprehensive process integration, while small automation focuses on executing specific local tasks with precision.
For instance, a company may utilize RPA to automate order processing while employing small automation tools like PLCs to manage production equipment. Hyperautomation facilitates the seamless flow of data from operational equipment into enterprise systems, improving production planning and execution.
Consider a common scenario in manufacturing: a Bill of Materials (BoM) is generated to create a production order. With hyperautomation, this BoM can be automatically communicated to parts suppliers, who can then bid for contracts through automated systems—eliminating human involvement in the procurement process.
This scenario illustrates how small automation operates at the production level, monitoring individual machines, while hyperautomation manages procurement, order generation, and supplier coordination, creating a cohesive and efficient workflow.
Although hyperautomation may appear futuristic, it is rapidly becoming a practical tool for contemporary businesses. By integrating small automation tools with hyperautomation strategies, companies can optimize processes, reduce costs, and enhance productivity.
Organizations need not view hyperautomation as an overwhelming leap forward; instead, they can adopt a gradual approach—implementing automation in stages and scaling as needed. This strategy not only keeps operations manageable but also strengthens the connection between enterprise and operational technology, paving the way for a more automated and efficient future.
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