将运输物流效率的影响因素与运输类型优势相结合的模型(方法与计算公式),用于降低风险和选择最佳路线的决策

A. Bobrova, E. A. Stepanov
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引用次数: 2

摘要

研究的主题是运输物流,即影响它的复杂因素,按风险分组,并在进行任何形式的运输时按运输类型的优势。这项研究的目的是发展运输物流的一个因素模型,即一种评估每批货物的风险的通用方法,同时考虑到所使用的运输类型和货物车辆组合的优点。本研究采用的主要方法是因子分析法。该研究还采用了归纳、排序、权重分数和比较分析等方法。结果表明,按风险等级分组的24个因素对运输物流产生影响;按运输方式划分出了11组优势。运输整体风险评估公式具有普适性,它既证实了物流领域研究者的理论结论,又为具体运输类型提供了客观结果。确定了风险最大和最小的货物运输类型。分析了因子模型在运输物流中的应用可能性。研究结果可用于供应商和承运人评估货物运输的潜在效率,也可用于物流研究人员改进析因运输评估方法。根据相互影响和因素结构,确定了开发模型所需的储量。
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Model (Methodology and Calculation Formula) Combining the Influencing Factors of Transport Logistics Efficiency and Advantages by Type of Transport for Risk Reduction and Decision-making When Choosing the Best Routes
The subject of the research is transport logistics, namely, a complex of factors affecting it, grouped by risk, and advantages by type of transport when carrying out transportation of any modality. The purpose of the study is the development of a factor model in transport logistics, that is, a universal methodology for assessing the risks of each shipment, taking into account the advantages of the types of transport used and the combination of cargo vehicles. The main method used in the work is factor analysis. The study also uses methods of generalization, ranking, weight fractions and comparative analysis. It is shown that 24 factors grouped in the work by risk level have an impact on transport logistics; 11 groups of advantages by types of transport have been identified. The formula for assessing the overall risk of transportation is universal, it confirms the theoretical conclusions of researchers in the field of logistics and provides objective results for specific types of transportation. The most and least risky types of freight transport are identified. The possibilities of the factor model in transport logistics are shown. The results of the study can be used by suppliers and carriers to assess the potential efficiency of cargo transportation, as well as by logistics researchers to improve the methodology of factorial transport assessment. The reserves have been identified for the development of the model based on the mutual influence and factor structure.
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