تحسين نسبة استهلاك القماش في مصانع الألبسة الجاهزة باستخدام الخوارزميات الجينية

Abstract

Marker planning process in the garment industry is one of the main processes in the fabric cutting stage, where the process of packaging parts aims to reduce the resulting waste. In the current research, an improved method based on genetic algorithms was used to obtain an optimal packaging that ensures optimal consumption of the cloth using the MATLAB program and by applying a program code designed based on genetic algorithms represented in the optimal selection of solutions through generational generation to reach the best. The results of the improved method were compared with the results of the traditional method used in Syrian ready-made clothing companies, which depend on different mathematical models and manual ones that depend on personal experience. The results in this research indicated that the performance of the presented method in this research improved the cloth consumption rate by 2.5-3%, depending on the tested sample, and this has a significant impact on the production cost, as the cloth constitutes a large proportion of the total cost.