应用水循环算法与需求遵循产品的绿色水平和非线性功率模式,用于库存系统
Subhash Chandra Das1, Fleming Akhtar2, Adel Fahad Alrasheedi3
1Department of Mathematics, Chandrapur College, Chandrapur, West Bengal, India.
Scientific reports
|September 9, 2024
概括
这项研究通过基于价格,绿色水平和时间的需求建模来优化库存管理,使用元启发算法来最大限度地提高利. 水循环算法 (WCA) 在这个复杂的非线性问题上显示出优异的趋同.
科学领域:
- 运营研究 运营研究
- 库存管理 库存管理
- 供应链优化 供应链优化
背景情况:
- 库存持有成本是非线性的,随着储存时间的增加而增加.
- 需求受到产品价格,绿色水平和时间的影响,遵循电力模式.
- 产品的购买价格是由其非线性绿色水平决定的.
研究的目的:
- 开发一个单一商品的库存系统,并有完整的后期订单.
- 根据销售价格,绿色水平和时间,同时确定需求率.
- 寻找最佳的库存政策,以最大限度地提高每单位时间的总利.
主要方法:
- 一个非线性库存模型,包含销售价格,绿色水平和时间依赖的需求.
- 应用多种元启发算法,包括水循环算法 (WCA),人工电场算法 (AEFA) 等.
- 通过数值示例和后优化分析进行验证.
主要成果:
- 与其他测试过的算法相比,水循环算法 (WCA) 显示出更高的收率.
- 拟议的模型有效地处理了需求和持有成本的非线性性质.
- 为了最大限度地提高利,确定了最佳的库存政策.
结论:
- 听算法,特别是WCA,对于解决复杂的,非线性库存优化问题的有效.
- 该模型为库存管理提供了一个强大的框架,考虑到产品属性和时间.
- 这些发现为旨在通过优化库存策略提高利能力的企业提供实用见解.
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