绿化概念在库存系统中用于恶化的物品,并通过海洋捕食者算法对价格和库存依赖的需求进行保存投资和库存依赖需求
Hachen Ali1, Gobinda Chandra Panda2, Adel Fahad Alrasheedi3
1Department of Mathematics, The University of Burdwan, Burdwan, 713104, India.
Scientific reports
|August 5, 2025
概括
这项研究通过整合绿色倡议和保存技术来优化易腐货物的库存模型. 它通过先进的算法最大化利,为可持续的供应链提供洞察力.
科学领域:
- 运营研究 运营研究
- 供应链管理 供应链管理
- 环境可持续性 环境可持续性
背景情况:
- 恶化的物品需要专门的库存模型.
- 越来越多的环保意识影响了消费者需求.
- 保存技术可以减轻产品的退化.
研究的目的:
- 为恶化物品开发一个全面的库存模型.
- 纳入可持续性驱动的客户行为和保存技术.
- 通过优化关键决策变量来最大化总利.
主要方法:
- 模拟需求作为价格,绿色水平和库存的非线性函数.
- 采用海洋捕食者算法 (MPA) 进行复杂的非线性优化.
- 使用灵敏度分析和基准测试验证实了模型的有效性.
主要成果:
- 成功优化了销售价格,绿色投资,保护力度,周期长度和补充量.
- 与其他算法相比,证明了MPA的有效性和稳定性.
- 提供了一个平衡利最大化与可持续发展目标的框架.
结论:
- 开发的模型为管理易腐,生态敏感产品的库存提供了实用的见解.
- 平衡定价,绿色投资和保存对于最佳的库存控制至关重要.
- 海洋保护区是解决复杂,非线性库存优化问题的合适工具.
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