相关实验视频
一种新的2型六角模糊逻辑方法,用于分销业务的预测性安全库存管理
1Department of Industrial Engineering, Altinbas University, Istanbul, Turkey. fatih.yigit@altinbas.edu.tr.
Scientific reports
|November 14, 2023
概括
这项研究将使用六边形2型模糊集 (HT2FS) 的人类直觉整合到安全库存管理中. 新型模糊方法通过结合专家预测来改善库存决策,将总成本降低2.8%.
科学领域:
- 运营研究 运营研究
- 库存管理 库存管理
- 模糊逻辑系统 模糊逻辑系统
背景情况:
- 传统的安全库存模型依赖于历史数据,这些数据可能无法完全捕捉现实世界的不确定性.
- 人类的直觉和专家知识对于有效的决策至关重要,特别是在不可预测的场景中.
- 模糊方法提供了一种方法,可以将主观的人类意见纳入决策过程.
研究的目的:
- 将人类的直觉融入安全库存管理中,使用六角型-2模糊集 (HT2FS).
- 开发一种新的模糊方法,将专家预测与传统安全库存模型相结合.
- 验证一个使用模糊意见来潜在地取代历史数据的数学模型.
主要方法:
- 使用六边形类型-2模糊集 (HT2FS),这是间隔类型-2模糊集的概括,用于表示不确定性.
- 采用重心方法去模糊多边形间隔类型-2模糊集.
- 开发了一个数学模型,并通过结合专家意见的现实案例研究来验证它.
主要成果:
- 拟议的模糊模型成功地将专家直觉纳入安全库存决策中.
- 由HT2FS代表的专家意见,在现实情况下导致总库存成本减少2.8%.
- 该模型证明了其有效性和对经典安全库存管理方法的潜在贡献.
结论:
- 通过HT2FS集成人类直觉为传统的安全库存模型提供了有价值的增强.
- 当专家输入提供准确预测未来差异时,建议的方法特别有效.
- 这项研究为库存管理和安全库存优化领域提供了一种新的模糊方法.
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