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开发基于场景的综合性随机滚动计划多阶段物流模型,考虑各种风险
Md Mohibul Islam1, Masahiro Arakawa2
1Department of Industrial & Production Engineering, Rajshahi University of Engineering & Technology, Rajshahi, 6204, Bangladesh.
Heliyon
|November 29, 2023
概括
本研究引入了一种新的物流模型,通过整合供应商选择和风险管理来降低成本. 基于场景的随机滚动计划方法优化了库存和生产,在风险环境中优于固定体积方法.
科学领域:
- 运营研究 运营研究
- 供应链管理 供应链管理
- 优化物流的优化物流.
背景情况:
- 传统的物流模式往往无法充分解决多方面的风险.
- 有效的供应商选择和动态规划对于在复杂的供应链中降低成本至关重要.
研究的目的:
- 提出一个集成的,基于场景的,随机的滚动规划多阶段物流模型.
- 通过管理价格,需求和质量风险来降低整体物流成本.
主要方法:
- 一个两阶段的方法:供应商选择的多标准组决策,其次是带有风险因素的滚动规划模型.
- 将供应商风险 (质量,价格) 和客户风险 (需求) 整合到物流模型中.
- 通过数值示例和灵敏度分析与固定量生产和交付模型进行比较.
主要成果:
- 拟议的模型实现了较低的物流成本 (2,697,648.00单位) 与固定体积模型 (2,721,843.00单位) 相比.
- 通过持续的生产量控制,在调节库存,缺货和过剩问题方面表现出有效性.
- 灵敏度分析证实了该模型在各种条件下的优越性和稳定性.
结论:
- 开发的风险嵌入式滚动规划物流方法在不确定的环境中可以大大节省成本.
- 综合模型提供了一个强大的框架,通过主动管理各种风险来优化物流运营.
- 强调动态规划和供应商审查对于弹性供应链的重要性.
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