绿色产品的不同类型的后付费设施,销售价格取决于需求,使用灰狼优化器优化器
1Department of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia.
Heliyon
|July 4, 2024
概括
这项研究优化了使用贸易信贷融资和延迟支付的库存系统. 它将产品的绿色和销售价格纳入需求,通过像灰狼优化器这样的先进算法提高利能力.
科学领域:
- 运营研究 运营研究
- 供应链管理 供应链管理
- 在库存控制,库存控制.
背景情况:
- 贸易信贷融资对于提高库存系统利能力越来越重要.
- 延迟支付设施对库存管理策略产生重大影响.
- 整合诸如绿色和销售价格之类的产品属性对于准确的需求预测至关重要.
研究的目的:
- 调查一个包含各种延迟付款情景的库存模型.
- 为了确定产品需求,考虑到绿色和销售价格.
- 分析产品绿色化对购买成本的影响.
主要方法:
- 开发了一个库存模型,具有有条件的延迟支付设施.
- 将产品的绿色度和销售价格纳入需求函数.
- 使用灰狼优化器 (GWO) 的元启发算法进行优化.
- 将GWO与鱼优化算法 (WOA) 和人工电场算法 (AEFA) 进行比较.
主要成果:
- 该研究成功地模拟了具有灵活支付条款的库存系统.
- 发现产品的绿色和销售价格会影响需求和采购成本.
- 灰狼优化器在解决复杂的库存问题方面表现出有效性.
结论:
- 拟议的库存模型为优化贸易信贷融资的利能力提供了一个框架.
- 考虑到产品的绿色和销售价格导致更现实的需求估计.
- 像GWO这样的元启发算法是解决复杂库存管理问题的宝贵工具.
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