Research on Manufacturing Quality Control Method Based on the Probabilistic Intuitionistic Fuzzy Set Prediction Model and the Triple Exponentially Weighted Moving Average Control Chart

Abstract

To address the problem of late warning time of control charts, this paper proposes a method for manufacturing quality control by combining the PIFS-PSNN prediction model with the TEWMA control chart. The method can do pre-alert and is capable of dealing with various uncertainties and ambiguities in the data during the manufacturing process as well as detecting minor shifts in quality characteristics. The fuzzy time series prediction model is employed to predict the manufacturing quality characteristics data and build the control chart based on the predicted data, to detect the shift in the quality characteristics data earlier and feedback to the manufacturing process. Finally, the effectiveness of the proposed method is demonstrated by a case study.