Performance Improvement in Manufacturing Shop Floor Operations of Developing Countries Based on Three Characteristics of Information Flow

The management of information flow for production improvement has always been a target in the research. In this paper, focus is on analysis model characteristics shop floor operations based influence that dimension (support or medium), direction and quality have value using machine learning classification algorithms. obtained results algorithms used to analyze are Decision Trees (DT) Random Forest (RF) with score 0.99% mean absolute error 0.005. also show DT RF shows that, such as digital greatest when totally digitalized. Direction does not any great processes digitalized done by operators machines.