Customer preferences Fuzzy Clustering based dynamic multivariate process quality control method

Abstract

Abstract. Faced with fierce competition and various customer demands in marketplaces, manufacturers need to determine the appropriate settings of statistical quality control criterion for dynamic batches composed of similar products with different customer preferences so that the best customer satisfaction and minimized production cost can be obtained. To achieve this, functional models of dynamic batch generating and customer preferences related to quality control criterion need to be developed. In this paper, a dynamic statistical quality control model considering customer preferences is suggested to solve such statistical quality control problems. Production batches with appropriate quality control criterion are formed regarding various customer preferences, and the small sample capacity for applying SPC is considered. Our application results in special steel product process quality designs which involves various customer preferences is presented to demonstrate the effectiveness of the proposed method.Introduction.