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Shipping Chain Choices in Long Distance Supply Chains: Descriptive Analysis and a Decision Tree Model

机译:长距离供应链中的运输链选择:描述性分析和决策树模型

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Shipping chain configuration is among the key logistics choices that have been ignored or treated insufficiently in the current freight transportation models. This study focuses on the shipping chain configuration and modeling of its relevant logistics choices including number of stops and stop types. A brief descriptive analysis is performed on the results of an online establishment survey to explore different shipping chain configurations used by decision-makers (business establishments). Also, a system of hierarchical database models of shipping chain choice for freight transportation is presented. A system of decision tree models is proposed to determine the shipping chain configuration of freight transportation by identifying number of stops and type of stops per chain. The results of the survey are used for analysis and model estimation. The proposed decision tree models are developed using eighty percent of the observations in the data and the remaining twenty percent are used to validate the models. The results of model estimation indicated that shipments’ attributes are the most significant variables in predicting the configuration of shipping chain. The results of the validation showed that the estimated trees could predict the shipping chain configuration for the test data with an acceptable precision. This confirms that decision tree models are powerful tools that can be used to predict shipping chain configurations of freight flows.
机译:运输链配置是被忽略或处理的关键物流选择之一 目前的货运模式还不够。这项研究侧重于运输 链配置及其相关物流选择的建模,包括停靠点和 停止类型。对在线机构的结果进行简短的描述性分析 调查以探索决策者使用的不同运输链配置(业务 场所)。此外,还有一个用于选择运输链的层次数据库模型系统 介绍了货运。提出了一种决策树模型系统来确定 通过识别停靠点的数量和类型来确定货运的运输链配置 每条链停止。调查的结果用于分析和模型估计。这 建议的决策树模型是使用数据中80%的观测值开发的 其余的百分之二十用于验证模型。模型结果 估计表明,货运的属性是预测运输过程中最重要的变量 运输链的配置。验证结果表明,估计的树木 可以以可接受的精度预测测试数据的运输链配置。这 确认决策树模型是可用于预测运输链的强大工具 货运流程配置。

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