汽车终端集成自主控制方法的设计与评价

IF 3.6 Q2 MANAGEMENT
M. Görges, M. Freitag
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引用次数: 1

摘要

背景:汽车终端在全球整车供应链中发挥着关键作用。由于制造商和分销商之间的联系特点,他们不断面临不稳定的需求波动和不可预见的动态事件,而现有的规划方法无法充分处理这些问题。自主控制概念已经显示出应对这种动态的有希望的结果。方法:本文描述了动力学的原因以及终端系统在处理这种动力学时的固有缺陷。在此基础上,推导出终端对新规划方法的需求,提出了一种新的汽车终端综合自主控制方法。这种新颖的自主控制方法结合了堆场和泊位分配。本文在一个小型综合通用场景中评估了新方法的性能。通过使用离散事件仿真模型,将经典的规划方法与新的自主控制方法进行了比较。此外,在全因子实验设计中分析了新方法的所有相关参数。在第二步中,本文证明了组合自主控制方法对真实世界终端的适用性。它给出了一个真实世界终端的仿真模型,并将新方法与现有的终端规划方法进行了比较。结果:本文将表明,自主控制方法能够优于现有的集中式规划方法。在一般情况和实际情况下,新的组合方法可以实现最佳的物流目标。结论:新方法非常适合于汽车终端系统,有助于克服现有的缺点。特别是在高度动态和复杂的环境中,自主控制比传统的堆场规划方法表现得更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Evaluation of an Integrated Autonomous Control Method for Automobile Terminals
Background: Automobile terminals play a key role in global finished car supply chains. Due to their connecting character between manufacturers on the one side and distributers on the other side, they are continuously faced with volatile demand fluctuations and unforeseen dynamic events, which cannot be handled adequately by existing planning methods. Autonomous control concepts already showed promising results coping with such dynamics. Methods: This paper describes the causes of dynamics and the terminal systems’ inherent shortcomings in dealing with such dynamics. On this basis, it derives terminal’s demand for novel planning approaches and presents a new integrated autonomous control method for automobile terminals. This novel autonomous control approach combines yard and berth assignments. This paper evaluates the performance of the new approach in a small comprehensive generic scenario. It compares classical planning approaches with the new autonomous control approach, by using a discrete event simulation model. Moreover, it analyses all relevant parameters of the new approach in a full factorial experiment design. In a second step this paper proves the applicability of the combined autonomous control approach to real-world terminals. It presents a simulation model of a real-world terminal and compares the new method with the existing terminal planning approaches. Results: This paper will show that the autonomous control approach is capable of outperforming existing centralized planning methods. In the generic and in the real-world case the new combined method leads to the best logistic target achievement. Conclusions: The new approach is highly suitable to automobile terminal systems and helps to overcome existing shortcomings. Especially in highly dynamic and complex settings, autonomous control performs better than conventional yard planning approaches.
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来源期刊
Logistics-Basel
Logistics-Basel Multiple-
CiteScore
6.60
自引率
0.00%
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审稿时长
11 weeks
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