在参与者中建立对供应商管理的库存模型的信任,以满足环境影响下的随机需求
Sharmila Saren1, Rekha Guchhait2, Ali AlArjani3
1Department of Mathematics, Government General Degree College, Gopiballavpur-II, Beliaberah, Jhargram, West Bengal 721517, India.
Mathematical biosciences and engineering : MBE
|November 3, 2023
概括
本研究引入了供应商管理的库存政策,以提高供应链的可靠性和减少碳排放. 拟议的上限和贸易政策为管理库存和环境影响提供了具有成本效益的解决方案.
科学领域:
- 运营研究 运营研究
- 供应链管理 供应链管理
- 环境经济学环境经济学
背景情况:
- 零售商与消费者的直接互动在供应链中产生了数据不对称性.
- 零售商和制造商之间不可靠的数据共享会影响系统的效率.
- 环境问题需要战略来控制生产和运输产生的碳排放.
研究的目的:
- 通过供应商管理的库存政策来缓解供应链的不可靠性.
- 评估上限和贸易政策在控制碳排放方面的有效性.
- 在随机需求分布下优化库存管理.
主要方法:
- 实施供应商管理的库存政策.
- 碳排放控制的上限和贸易政策的应用.
- 根据均和正常分布对随机需求的分析.
- 为参数优化进行数值和灵敏度分析.
主要成果:
- 供应商管理的库存政策有效地解决了数据不对称性,提高了可靠性.
- 限额和贸易政策显示出对碳排放的重大控制.
- 最佳的零售商批量大小,服务水平和重新订购点是在随机需求下确定的.
- 数字发现表明,与以前的方法相比,经济效益为50.24%.
结论:
- 供应商管理的库存和上限和贸易政策的综合方法提高了供应链效率和环境可持续性.
- 随机需求建模为库存优化提供了更现实的方法.
- 该研究为经济上有利和环保的供应链管理提供了强有力的框架.
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