Methods for Analysis of Manufacturing Process in Electronics

During manufacturing processes in electronics a big amount of data is collected in order to be processed and analysed. The obtained knowledge is used for improving the (sub) process, avoiding failures in time and achieving products with high quality. Different data-driven technologies are implemented in smart production to facilitate decision making. The aim of the paper is to summarize and analyse the currently utilized methods for improving manufacturing processes in electronics through bibliometric analysis and detailed exploration of currently published scientific papers. A conceptual model is created as a result from the investigation, which reveals emergence of enhanced statistical methods and implementation of machine learning techniques. The increasing role of predictive analytics is proven not only through the performed summary, but also through creation of a predictive model in manufacturing based on surface mounting technology.