主成分分析在企业物流成本控制与降低中的应用

Xiao-ying Liang, Jiansheng Ma
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引用次数: 4

摘要

物流成本是伴随着物流活动而产生的。物流成本是衡量企业生产效率的重要指标。随着物流管理意识的增强,如何有效降低物流成本已成为企业的核心任务。运用主成分分析法(primary components analysis, PCA)及其优势,分析了影响企业物料输送物流成本降低的因素。在主成分分析模型和专家评分的基础上,计算出一些能反映物流成本降低的结果。通过案例分析可以看出,一些因素起着非常重要的作用,由于物流成本的降低取决于所有因素的相互作用,因此需要考虑所有原因。通过分析和推导得出,在数据信息损失最小化的前提下,将主成分分析法应用于企业物资输送物流成本降低的研究是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of PCA in Controlling and Reducing Enterprise Logistic Cost
Logistic cost is accompanied by logistic activities. A logistic cost is an important indicator to measure the production efficiency of an enterprise. With strengthening the logistic management awareness, how to effectively reduce logistic cost has become a core mission. Using primary components analysis (PCA) and its advantages, influential factors on logistic cost reduction in enterprise material conveying is analyzed. On the basis of PCA model and scores by the experts, the authors computed some results that can reflect logistic cost reduction. Through case study, it can be seen that some factors play very important role and all the reasons should be taken into account because logistic cost reduction depends on the interaction of all the factors. Through analysis and deduction, it is concluded that, under the premise of minimizing the information loss of data, the application of PCA in the investigation on logistic cost reduction in enterprise material conveying approves to be practicable.
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