Our products

RaCor

RaCor seeks to revolutionise the manufacturing industry by increasing productivity through enabling digital technologies.

Email us to find out more about RaCor.

Overview of how RaCor is boosting productivity by making critical data highly available during the manufacturing process and beyond.
1.5 mins

AI RaCor

AI RaCor brings in extended data analytics capabilities to further understand key productivity enablers, giving organisations a leading position on capturing value for their respective business.

Email us to find out more about AI RaCor. This is currently in development.

This film, made by NATEP, examines the uses and benefits of AI RaCor in advanced manufacturing.
7 mins

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Boost quality and control

Our software helps to identify and track non-conformities in real-time, allowing organizations to take corrective action and improve their overall quality control processes.

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Increased efficiency

Imagene’s non-conformance software automates many manual processes, such as tracking and reporting, reducing the time and effort required to manage non-conformities.

Data management

Better data management

By providing a centralized repository for non-conformance data, the software allows organizations to easily access and analyze this information.

Compliance

Improved compliance

Organizations that need compliance with industry regulations and standards will benefit from our software’s tracking and reporting on non-conformities in a consistent manner.

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Enhanced visibility

Using our non-conformance software you will gain real-time visibility into the status of non-conformities, enabling rapid respond to issues and ensuring that corrective actions are taken in a timely manner.

RaCor – a typical use case

Background

A manufacturing company producing plastic components for the automotive industry faces a high number of defects and non-conformances in their production process. This results in increased costs, decreased productivity, and customer dissatisfaction. The company decides to implement Imagene’s RaCor software, leveraging its machine learning to reduce defects and improve the overall quality of their products.

Implementation and operational overview

With the software in place, it starts to analyse production data, including process parameters, machine performance, and operator behaviour. Over time, the software is able to identify patterns and predict when an incident of non-conformance is likely to occur. This allows the company to take proactive measures to prevent the non-conformance from happening, saving time and reducing costs associated with rework.

The software also provides a comprehensive view of the production line, enabling the company to see where improvements can be made. For example, the software identifies that the machine settings at a specific workstation are not optimized for the production process, leading to increased waste and reduced productivity. By addressing this issue, the company is able to improve the efficiency of the workstation and reduce the number of defects.

Results

RaCor also enables the company to track and monitor non-conformances in real-time, which allows them to quickly identify and resolve issues. This results in a reduction in the overall cost of quality and an increase in customer satisfaction. The company is able to achieve a 25% reduction in defects and a 15% improvement in productivity within the first year of using Imagene’s RaCor software.

In conclusion, the deployment of RaCor software plays a significant role in helping the manufacturing company reduce defects, lower the cost of quality, and improve productivity. The company is able to make data-driven decisions that have a positive impact on their bottom line and customer satisfaction, proving that investing in technology can help businesses achieve their goals.