Abstract

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.

摘要

服装行业的设计和生产是艺术、工程和技术部门的结合。增强了依靠人工智能算法寻找更高投入原材料的最优分配；审查了研究公司切割部门的生产订单。对每个执行订单的浪费率、层数、标记数进行了研究和分析。这项研究的方法在遗传算法下进行了检查，以通过使用代码来表达问题，从对问题的高级分析开始创建程序。作为一种强大的优化技术；新的调度方法包括订单的移动，与原来的流程相比，减少了 2.62% 的织物浪费百分比，以及通过将切割台从 56 层优化到 25 层来减少铺展层的数量，并将标记的数量从 6 个减少到 3 个。所获得的方法可以应用于切割部门，并为管理和处理制造系统提供额外的知识。