Process Optimization in Manufacturing

Process optimization is a very critical topic in manufacturing, since it directly affects the quality as well as manufacturing cost of products. Finding the dependencies between certain product features and the impact of the different processes is challenging.

Machine Learning Models can not only predict the quality or other features of a product based on certain process parameters, but can also give an estimate which process parameter had an impact on the result. This way problematic processes can be identified and adjusted.

Modulos AutoML generates a pathway for Process Engineers to use Machine Learning models for their use cases, without the need of an ML expert in your company. Easy to use automated Machine Learning allows you to find the best performing algorithm for your data in a system-guided approach, enabling your company to unleash the full potential of AI.