设计和优化动态可靠性驱动的订单分配和库存管理决策模型.
Qiansha Zhang1, Dandan Lu1, Qiuhua Xiang1
1School of Business Administration, Guangxi University of Finance and Economics, Xixiangtang District, Nanning, Guangxi, China.
本研究引入了一种通过整合可靠性因素来优化订单分配和库存管理的新模型. 动态可靠性驱动的订单分配和库存管理 (DROAIM) 系统提高了供应链的可靠性,并减少了库存缺失.
科学领域:
- 运营研究 运营研究
- 供应链管理 供应链管理
- 可靠性工程可靠性工程
背景情况:
- 有效的订单分配和库存管理对于竞争性市场的供应链成功至关重要.
- 现有的模型往往忽略了关键的可靠性因素和随机元素.
- 供应链运营面临需求波动,交付时间变化和供应商绩效不一致等挑战.
研究的目的:
- 开发和评估一个创新的决策模型,以优化订单分配和库存管理.
- 通过整合可靠性因素和随机因素来提高供应链的可靠性.
- 为管理不确定性中供应链运营提供一个强大的框架.
主要方法:
- 开发动态可靠性驱动的订单分配和库存管理 (DROAIM) 系统.
- 整合随机模型,基于可靠性的供应商评估,动态算法和实时分析.
- 进行案例研究和模拟,以评估模型有效性.
主要成果:
- 在整体供应链运营可靠性的显著改善.
- 已证明减少了缺货事件的发生.
- 实现了优化库存水平和增强供应链弹性.
结论:
- DROAIM模型提供了一个全面的框架,用于将可靠性整合到订单分配和库存管理中.
- 拟议的方法有效地解决不确定性,并提高供应链的弹性.
- 该模型可以适应各种行业特定的挑战,为从业者提供了一种多功能工具.
更多相关视频
20:24Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
Published on: January 31, 2014
11:53The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
Published on: October 14, 2017
相关概念视频
Constraints and Statical Determinacy
Statically Indeterminate Problem Solving
Response Surface Methodology
The process of RSM involves several key steps:
Design Consideration
The factor of safety is another key...
Bearings: Problem Solving
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
