pharmaceutical production line has multiple custom interfaces that can be difficult to integrate.
Key steps to a successful Automation Integration Layer
The best approach to overcome data integration complexities in brownfield applications is to create a middleware between OT and IT. This is known as Automation Integration Layer( AIL). This system can contextualize and aggregate data while enabling twoway communication between each machine, whether legacy or new, and the software platforms.
But how can pharmaceutical manufacturers implement an AIL effectively? The first step is the adoption of“ low code / no code” software platforms. This approach enables users to gain extended connectivity with machines and devices from multiple vendors, including legacy equipment, without having to write custom code for each machine. For example, the zenon software provides over 300 connection options, connecting with virtually any hardware outof-the-box.
The second step is applying modular engineering to software and hardware. With platforms like zenon, operators can create a data integration concept for a specific machine that can be easily applied to other equipment in the same category, building a central equipment software library. This concept also enables manufacturers to expand and integrate new equipment seamlessly if they need to scale up production.
The same modular approach also applies to the hardware. Edge components close to the machines are essential to ensure data integration and two-way communication with the IT system, with data securely transferred from the shop floor to the cloud.
The combination of scalable hardware solutions and software libraries allows pharmaceutical manufacturers to integrate machines faster and more affordably. A modular approach based upon an AIL can also benefit large multinational organizations that can utilize the same software libraries across different sites across different countries.
The future is modular
A modular engineering approach based on an AIL can benefit pharmaceutical manufacturers beyond data integrity. Ease of data integration and extended connectivity enables companies to realize the efficiency and productivity gains that new technologies like AI can yield.
Better data integrity leads to greater productivity thanks to faster batch releases. An AIL approach also helps democratize data, as teams across the company can access and analyze data to constantly improve processes, quality, and efficiency. With an AIL, pharmaceutical manufacturers can ensure that all equipment, including legacy and new machines, plays a role in this transformation.
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