...
首页> 外文期刊>Fibres & textiles in Eastern Europe >Cut Order Planning Optimisation in the Apparel Industry
【24h】

Cut Order Planning Optimisation in the Apparel Industry

机译:削减服装行业的订单规划优化

获取原文
获取原文并翻译 | 示例
           

摘要

Nowadays, apparel businesses have to cut down on their costs in order to ensure the continuity of their activities and to expand them. Fabric costs cover about 50-60% of production costs. In this study, for the minimisation of fabric costs, the cutting department in enterprises was investigated and the cut order plans developed by mixed integer nonlinear programming. Examples were taken from the enterprises that were implemented. A mathematical model was then developed to be used in mixed integer nonlinear programming for a manual cut order plan, and a program code was created in LINGO optimisation software. With the program code developed, optimum results that cannot be manually calculated by an operator is obtained. The amounts of fabric to be used as a result of the cut order plan were applied to the samples taken from the enterprises, and the manual solution and model developed were compared. As a result of the comparisons made, thanks to the model, fabric developed, usage is reduced and fabric cost minimisation ensured.
机译:如今,服装企业必须减少其成本,以确保其活动的连续性并扩大它们。面料成本占生产成本的约50-60%。在本研究中,为了最小化织物成本,在企业的切割部门进行了调查,并由混合整数非线性规划开发的剪切计划。例子来自实施的企业。然后开发了一种数学模型以用于混合整数非线性编程,用于手动剪切计划,在Lingo优化软件中创建了程序代码。通过开发的程序代码,获得无法通过操作员手动计算的最佳结果。将剪切计划的织物量应用于来自企业所采取的样本,并比较了手动解决方案和模型。由于对比较进行了比较,由于该模型,织物开发的结构,减少了使用,并且确保了织物成本最小化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号