钢铁行业的高效切割库存优化战略
Chattriya Jariyavajee1, Suthida Fairee2, Charoenchai Khompatraporn3,4
1Department of Computer Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.
PloS one
|March 28, 2025
概括
一个新的优化算法大大降低了钢材切割库存问题的成本和规划时间. 这种数学模型提高了工业切割应用中的效率.
科学领域:
- 运营研究 运营研究
- 工业工程 工业工程 工业工程
- 计算优化计算优化
背景情况:
- 切割库存问题在钢铁制造等行业普遍存在,导致大量的材料浪费和高的运营成本.
- 现有的方法往往难以有效地平衡机器限制,切割条件和客户订单需求.
- 优化切割工艺对于减少浪费和提高制造业的经济效率至关重要.
研究的目的:
- 开发一种新的数学模型和优化算法来解决钢材切割库存问题.
- 将机器规格和切割条件作为优化模型中的约束因素纳入.
- 显著减少浪费,规划时间和与工业切割操作相关的成本.
主要方法:
- 开发了一个三步解决方案过程:问题表示,问题空间缩小和最佳解决方案搜索.
- 引入了一个新的自适应路径寻找优化算法,它结合了流浪殖民地优化和粗暴武力方法.
- 基于预先切割的钢条和客户订单,模拟可行的切割解决方案,消除次优解决方案.
主要成果:
- 该算法将计划员的数量从4人减少到1人,并将计划时间从6小时减少到不到1小时.
- 平均节省了每3.95美元的成本,比基线成本减少了52.18%.
- 已证明适用于其他切割材料问题,包括纸张,金属棒和木板切割.
结论:
- 拟议的自适应路径优化算法为钢材切割库存问题提供了高度有效的解决方案.
- 开发的数学模型和算法带来了大量的经济效益和制造业的运营效率.
- 这种方法为优化各种工业切削股票应用提供了一种多功能工具.
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