An Automatic Online System for Detecting and Analyzing Quality Data of Products in Manufacturing Process

Abstract

Abstract As the business volume is getting bigger, more and more problems are exposed to product quality testing. For example, the application of the traditional statistical process control (SPC) is not flexible on different occasions due to the fixed testing rules and the manual data collection. These problems lead to large deviation and low efficiency. In order to fasten the testing process and optimize the results of testing, we design an online system that integrates the Drools rule engine and automatic collection mechanism based on some common communication protocols and devices into SPC to replace traditional manual quality testing. In this paper, we introduce the principle of the system design in detail. The experimental results show that we can utilize SPC in a more convenient and efficient way.