Implementation of Data Mining Techniques and Machine Learning Model in Manufacturing Process

Abstract

Time in manufacturing process is critical. A lot of manufacturing companies rely on their operator’s knowledge, experience, or random methods to adjust CNC machines. Sometimes these judgements are ineffective and limited to their own knowledge resulting in an overall decrease in productivity, sales, and profit. Data mining has proven to be an important tool for knowledge acquisition in manufacturing processes. In this paper we will show how data mining techniques and machine learning model could help to effectively adjust CNC machines based on historical data. Key Terms ⎯ data mining, machine learning, manufacturing, neural network