Industrial automation has transformed the way production lines are designed and operated. However, in a context where products are increasingly customized and life cycles are shortening, traditional lines designed to manufacture a single product have begun to show their limitations. This is where automated multi-product lines come into play: flexible systems capable of adapting to multiple references without compromising efficiency, quality, or traceability.
In this article, we explore how to apply machine vision, robotics, and digital technologies to automate multi-product lines in demanding industrial environments.
What are multi-product lines and why are they booming?
A multi-product line is one that is capable of producing different variants or types of products in the same facility without the need for major physical changes. This adaptability is key for sectors such as pharmaceuticals, food, automotive, and consumer goods, where demand requires high variability and low volumes per reference.
The automation of this type of line requires a different approach: it is not enough to automate repetitive tasks; it is necessary to design flexible, reprogrammable, and connected systems, where the intelligence of the system allows for quick and error-free product changes.
Flexibility: the heart of multi-product design
To achieve effective automation in multi-product lines, flexibility must be part of the design from the outset. This involves designing modular stations that can be adapted to different operations, incorporating collaborative or Cartesian robots with automatic tool changes, and using artificial vision as a recognition system that adjusts operating parameters in real time.
In addition, transport and positioning systems must also be versatile, allowing different types of parts to be moved without the need for lengthy manual adjustments. This adaptability, which is integrated into the design, allows switching from one reference to another to be carried out with minimal human intervention, maximizing productive time.
Artificial vision and robotics for dynamic identification
One of the pillars of multi-product automation is the system’s ability to recognize which product is being manufactured at any given time and adapt its behavior accordingly. Machine vision makes it possible to identify the type of part, verify that it is correctly positioned, and even perform quality control without physical contact. Combined with programmable robotics, this technology allows the creation of work cells that automatically change tasks depending on the product detected.
This dynamic identification not only improves efficiency, but also reduces human error and allows for complete traceability of each unit manufactured, which is critical in regulated industries.
Control and efficiency through connectivity
The true potential of automated multi-product lines is unlocked when all elements are connected to each other. This means that sensors, robots, PLCs, cameras, and monitoring software work together using standard protocols and in real time. This connectivity allows the system to self-regulate, detect deviations instantly, and enable operators to monitor production from a single interface. In addition, real-time data analysis facilitates continuous improvement and KPI-based decision-making.
Efficiency is not achieved solely by automating tasks, but by reducing format changeover times, minimizing work-in-progress inventory, and ensuring the repeatability of complex processes. Connectivity between different systems provides the intelligence needed to optimize all these aspects in a coordinated manner.
Automated, flexible, and connected lines at I-MAS
At I-MAS’s engineering department, we help our clients transform their industrial processes through flexible automation. We design, develop, and implement multi-product cells and lines combining machine vision, robotics, industrial control, and software systems.
Our approach integrates mechanical, electrical, and automation design from the outset of the project, ensuring that each solution is tailored to actual production needs. We have worked in sectors such as automotive, food, healthcare, and cosmetics, always with the aim of improving productivity, reducing errors, and increasing adaptability.
Want to learn more about our services? Contact us or visit our projects section!
