货运成本估算的可参数化面向过程模型的开发

Uwe Brunner, C. Hechtl, V. Mezhuyev
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引用次数: 0

摘要

对公路货运成本的可靠估计对工业公司的供应商和客户都具有决定性的优势。然而,现有的成本估算方法复杂、耗时且可能产生不准确的结果。本文旨在建立一个基于历史运输数据的可参数化的面向过程的模型,该模型允许在运输进行之前可靠地估计运输成本。该模型的核心是筛选过程,它能够以最佳方式选择各自的历史数据集。本文对现有解决方案进行了全面的文献综述,讨论了在现有条件下对现有数据进行分析和处理的方法,从而开发了一个新的模型和相应的过滤过程。与现有方法相比,该模型可以在更短的时间内对所选路线的运输成本进行可靠的估计。该流程模型已经得到了业界的验证,并且由于物流部门的重要性日益增加,该流程模型将继续得到应用和改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a Parameterizable Process-Oriented Model for Freight Cost Estimation
Reliable estimation of costs in road freight transportation gives a decisive advantage for industrial companies both on the supplier and customer side. However, existing methods of costs estimation are complex, time-consuming and may produce inaccurate results. This paper aims to develop a parameterizable process-oriented model based on historical transport data, which allows a reliable estimation of the transport costs before transportation is carried out. The core of this model is the filter process, which enables to select respective historical data sets in the best possible way. The paper gives a comprehensive literature review of existing solutions, discusses the methods of analysis and processing of available data under the existing conditions, resulting in the development of a new model and a corresponding filter process. The proposed model allows a reliable estimation of the transport costs on the chosen route, which can be obtained in a shorter time as compared with existing methods. The process model has already been validated by the industry and continues to be applied and improved due to the growing importance of the logistics sector.
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