Mining And Machine Learning In The Manufacturing Products

Abstract

Today, we live in a data-driven world where millions of knowledge resources come from the Internet and various databases. Manufacturing companies need to use different types of techniques and tools to achieve their foundational goals. In this context, the use of machine learning (ML) and data mining (DM) techniques and tools could be very helpful to overcome manufacturing challenges. This paper presents a comprehensive literature review on how machine learning techniques can be applied to implement manufacturing mechanisms. Our contributions are intended to provide an understanding of the main approaches and algorithms that have been used to improve manufacturing processes in recent decades. In addition, the main steps of the Knowledge Discovery in Databases (KDD) process to be followed in manufacturing applications are explained in detail.