基于PCA-AHP模型的无车承运人合作伙伴选择研究

发布时间：2018-04-27 16:36

  本文选题：道路运输 + 无车承运人　； 参考：《计算机应用研究》2017年08期

【摘要】：为了合理选择无车承运人的合作伙伴,提高运营效益和降低风险,建立了PCA-AHP无车承运人伙伴选择模型。根据无车承运人伙伴选择的影响因素,构建了包含16项指标的无车承运人伙伴选择指标体系,在对指标体系进行主成分分析(PCA)的基础上,通过AHP分析法计算综合权重。针对具有10家候选伙伴企业的无车承运人进行案例分析,提取了累计方差贡献率达82.81%的五个主成分,采用层次分析法分别对数据进行主成分分析训练和层次分析权重计算。结算结果表明:运输服务质量是影响无车承运人选择伙伴企业的关键因素,该模型具有有效性和实用性,能为无车承运人合作伙伴的选择提供决策依据。
[Abstract]:In order to choose the partner of the vehicle without carrier reasonably, improve the operation efficiency and reduce the risk, the model of PCA-AHP carrier free carrier partner selection is set up. According to the influence factors of the car carrier partner, 16 indexes are constructed, and the principal component analysis (PCA) is carried out on the index system. On the basis of the AHP analysis, the comprehensive weight is calculated. According to the case analysis of the car carrier with 10 partner enterprises, five principal components of the cumulative variance contribution rate of 82.81% are extracted. The analytic hierarchy process is used to carry out the principal component analysis training and the hierarchical analysis weight calculation respectively. The settlement results show that the transportation service is carried out. Quality is the key factor affecting the choice of the partner enterprise of the car carrier. The model is effective and practical, and it can provide the decision basis for the choice of the partner of the car carrier.

【作者单位】： 长安大学汽车学院;长安大学经济与管理学院;交通运输部规划研究院;交通运输部管理干部学院;
【基金】：国家自然科学基金资助项目(51278057) 交通运输部应用基础研究项目(2014319226270) 国家教育部人文社科研究一般项目(15YJCZH093,16XJCZH002)
【分类号】：O212.4
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本文编号：1811487