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An Integrated Multiechelon Logistics Model with Uncertain Delivery Lead Time and Quality Unreliability

机译:交货时间不确定且质量不可靠的集成多级物流模型

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摘要

Nowadays, in order to achieve advantages in supply chain management, how to keep inventory in adequate level and how to enhance customer service level are two critical practices for decision makers. Generally, uncertain lead time and defective products have much to do with inventory and service level. Therefore, this study mainly aims at developing a multiechelon integrated just-in-time inventory model with uncertain lead time and imperfect quality to enhance the benefits of the logistics model. In addition, the Ant Colony Algorithm (ACA) is established to determine the optimal solutions. Moreover, based on our proposed model and analysis, the ACA is more efficient than Particle Swarm Optimization (PSO) and Lingo in SMEIJI model. An example is provided in this study to illustrate how production run and defective rate have an effect on system costs. Finally, the results of our research could provide some managerial insights which support decision makers in real-world operations.
机译:如今,为了在供应链管理中获得优势,如何保持足够的库存水平以及如何提高客户服务水平是决策者的两个关键实践。通常,不确定的交货时间和有缺陷的产品与库存和服务水平密切相关。因此,本研究的主要目的是开发具有不确定交付时间和不完善质量的多级集成实时库存模型,以增强物流模型的优势。此外,建立了蚁群算法(ACA)来确定最佳解决方案。此外,基于我们提出的模型和分析,在SMEIJI模型中,ACA比粒子群优化(PSO)和Lingo更有效。本研究提供了一个示例,以说明生产运行和缺陷率如何影响系统成本。最后,我们的研究结果可以提供一些管理上的见解,为现实世界中的决策者提供支持。

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  • 来源
    《Mathematical Problems in Engineering》 |2016年第4期|8494268.1-8494268.13|共13页
  • 作者单位

    Natl Taiwan Ocean Univ, Dept Transportat Sci, 2 Beining Rd, Keelung 202, Taiwan;

    Natl Taipei Univ Technol, Grad Inst Ind & Business Management, 1,Sect 3,Zhongxiao E Rd, Taipei 106, Taiwan;

    Chung Hua Univ, Dept Technol Management, 707,Sect 2,Wufu Rd, Hsinchu 30012, Taiwan;

    Chung Hua Univ, Ph D Program Technol Management, 707,Sect 2,Wufu Rd, Hsinchu 30012, Taiwan;

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