APPLICATION OF REGRESSION ANALYSIS TO MODEL THE CORRELATIVE RELATIONSHIP OF THREAD TENSION AND FABRIC THICKNESS ON SEAM PUCKERING

Abstract

This study focuses on elucidating the correlative relationship between bobbin thread tension and fabric thickness on the degree of seam puckering in the garment industry.  By applying a second-order factorial experimental design methodology combined with multivariate regression model analysis, the study identified the influencing factors and determined the magnitude of their effects on seam length variation.  The analysis results indicate that fabric thickness is the predominant factor affecting puckering, having a significantly larger impact compared to bobbin thread tension.  Based on the developed regression equation, optimal bobbin thread tension values corresponding to each level of fabric thickness have been determined to minimize seam puckering.