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Improving route optimization for outbound vehicle distribution at an automobile manufacturer

机译:改善汽车制造商的出站车辆配送路线优化

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摘要

With rising fuel costs and increasing rates among specialized shipping carriers, cost mitigation in outbound distribution is increasingly important for automobile manufacturers. Many manufacturers have turned to specialized, licensed supply chain software to optimize their distribution network to determine the appropriate path for each product from factory to dealer. While these software programs include robust algorithms for optimizing the network, they are only as strong as the user inputs. To gain maximum value from supply chain software, automotive companies must fully understand the structure of their networks, their costs, and their constraints to ensure that the model is all-inclusive. This paper attempts to understand the distribution model used at Nissan North America by formulating the model algebraically with a linear program. With insights to the model design, we uncover several opportunities for improvement. Specifically, we create a more inclusive objective function by ensuring that all relevant costs are captured so that the model optimizes the "total landed cost." We also highlight several opportunities for increased model flexibility in areas where the model is over constrained -- both in its mathematical constraints and in its structural design. With increased flexibility, supply chain software has more alternative paths in the network to choose from, increasing the opportunity for the program to find a lower cost solution. Lastly, we stress the importance of using the software for scenario analysis to create a more responsive supply chain. When implemented, the improvements presented in this paper yield a cost savings of over $10 million. The principles of the model improvements in this thesis can be applied to distribution optimization in any industry.
机译:随着燃料成本的上涨以及专业运输公司中费率的提高,减少对外配送的成本对汽车制造商越来越重要。许多制造商已经转向使用经过许可的专业供应链软件来优化其分销网络,从而确定每种产品从工厂到经销商的合适路径。尽管这些软件程序包括用于优化网络的健壮算法,但它们的强度仅与用户输入一样强大。为了从供应链软件中获得最大价值,汽车公司必须充分了解其网络结构,成本和约束条件,以确保该模型具有包容性。本文试图通过使用线性程序代数表示该模型来理解日产北美使用的分布模型。通过对模型设计的洞察,我们发现了一些改进的机会。具体来说,我们通过确保捕获所有相关成本来创建更具包容性的目标函数,以便该模型优化“总到岸成本”。我们还强调了在模型过度约束的领域中增加模型灵活性的一些机会-无论是在数学约束上还是在结构设计上。随着灵活性的提高,供应链软件在网络中具有更多可供选择的替代路径,从而增加了程序寻找低成本解决方案的机会。最后,我们强调了使用软件进行情景分析以创建响应速度更快的供应链的重要性。实施后,本文提出的改进措施可节省超过1000万美元的成本。本文模型改进的原理可以应用于任何行业的配电优化。

著录项

  • 作者

    Katcoff Elizabeth;

  • 作者单位
  • 年度 2012
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
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