A Process and Application-Based Framework for the Optimization of Manufacturing Process

In the current manufacturing landscape process optimization, cost reduction, and profit maximization have become crucial. This paper aims to leverage advanced data analysis techniques such as Machine Learning (ML) to achieve these objectives, identifying issues related to operational inefficiencies, data integration challenges, and the effective application to real manufacturing problems. To do so, the paper proposes a framework to improve ML integration into manufacturing operations, highlighting the importance of customizing the strategy to suit the company needs. Through a practical implementation, this paper shows the applicability of the framework