Decision support system for quality control with data mining method in production
AbstractOne of the most important processes in the manufacturing sector is the quality control process. The measurement data in this area is very large, and as the volume of data increases, the rate that people inevitably understand is decreasing. Variations are the enemy of quality and there is variation in everything. A better understanding of the quality process can be achieved using appropriate data mining tools and reasoning concepts. In this study, a study was carried out using the data visualization tool of data mining to monitor the production quality of the products on the data received from an automotive company in Turkey.