Reducing waste in garment factories by intelligent planning of optimal cutting orders

The design and production of apparel industry are a combination between the arts, the engineering, and the technology section. This paper enhances to find the optimal distribution of higher investment of raw materials by depending on artificial intelligence algorithms; the production orders in cut department with the studied company were reviewed. The waste rate, the number of layers, the number of markers for each executed order were studied and analyzed. Methodology of this study is examined under Genetic Algorithms for creating programs starting from a high level analysis of the problem by using code to express the problem. As a powerful optimization technique; The new scheduling method includes the movement of orders when comparing with the original process to reduce in the percentage of waste of fabric by 2.62%, As well as reducing the number of spreading layers by optimizing the cutting table from 56 to 25 layers, and reducing the number of markers from 6 to 3 markers. The method that gained could be applied in the cutting department and provide the extra knowledge in managing and handling the manufacturing system.