A general linear model to evaluate the shrinkage of manufactured denim pants

Abstract

The study reported the development of a statistical model to evaluate and prevent fabric shrinkage in denim pants during industrial seaming operations, particularly after finishing treatments. Denim pants are assembled using various seam types, including flat-felled seams, safety stitch seams, and lockstitch seams, with consistent sewing parameters such as fabric composition, stitch type, stitch density (percentage per centimetre), and sewing thread count.

A factorial design methodology was employed to evaluate shrinkage across various seam types under actual industrial conditions. Based on data collected from different finishing treatments, statistical models were developed to predict the extent of shrinkage in denim pants. These models were further validated and refined using data from five industrial production orders, which improved their predictive accuracy and practical applicability.

Results indicate that the models can be effectively integrated into production planning, enabling manufacturers to optimize sewing and finishing processes. The models also support the implementation of digital processing techniques, reducing waste and execution time in line with Industry 4.0 principles, thereby enhancing efficiency and sustainability in denim manufacturing