A Machine Learning Use Case for Manufacturing Planning

How to use classification techniques to support automated manufacturing process design from product specifications. As we saw in our article series on AI in Manufacturing, manufacturing plants offer one of the most complex yet most promising environments to deploy large-scale AI-based solutions. In this article we provide a very concrete use-case where a machine learning algorithm is used to learn from historical production data how to infer the number of necessary manufacturing steps solely based on the basic product specifications. A manufacturer specializes in the custom-production of small mechanical parts. Their customers provide them with specifications of the parts to be produced. The manufacturer must first determine the exact steps to follow to produce these parts and then decide on appropriate price quotations.