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基于IDEA模型的港口物流服务商优选方法 被引量:3

Port logistics service supplier selection method based on imprecise data envelopment analysis model
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摘要 为科学地对港口物流服务商进行评估及选择,基于数据包络分析(DEA)模型,结合定性的不确定因素,提出非精确数据包络分析(IDEA)模型的港口物流服务商优选方法.该方法无需更多精确信息,并兼有一般DEA的特点,较好地解决了DEA无法处理定性因素的问题.算例分析结果表明了该方法的有效性和实用性. To evaluate and select port logistics service suppliers scientifically,a method of IDEA model was proposed based on data envelopment analysis(DEA) model,considering the cardinal and imprecise factor in port vendor selection.The proposal method is more robust without demanding too much precise information and keeps the characteristics of the conventional DEA model so that it can solve such a problem well that it deals with the qualitative factors in DEA model but can't be settled therein.Numerical example shows the effectiveness and utilities of such method.
出处 《大连海事大学学报》 CAS CSCD 北大核心 2010年第1期44-46,54,共4页 Journal of Dalian Maritime University
基金 国家自然科学基金资助项目(70940008)
关键词 港口物流 数据包络分析(DEA)模型 非精确数据包络分析(IDEA)模型 供应商选择 port logistics data envelopment analysis(DEA) model imprecise data envelopment analysis(IDEA) model supplier selection
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参考文献6

  • 1WU T, SHUNK D, BLACKHURST J, et al. AIDEA:A methodology for supplier evaluation and selection in a supplier-based manufacturing environment[J]. International Journal of Manufacturing Technology and Management, 2007, 11(2) :174-192.
  • 2SEYDEL J. Data envelopment analysis for decision support [J].Industrial Management and Data Systems, 2006, 106 (1):81-95.
  • 3ZHU J. Imprecise data envelopment analysis (IDEA) : a review and improvement with an application[J]. European Journal of Operational Research,2003,144(3) : 513-529.
  • 4SAEN R F. Suppliers selection in the presence of both cardinal and ordinal data [ J ]. European Journal of Operational Research,2007,183 (2) :741-747.
  • 5KIM S H, PARK C G, PARK K S. An application of data envelopment analysis in telephone offices evaluation with partial data [ J ]. Computers and Operations Research, 1999, 26(1) :59-72.
  • 6COOPER W W, PARK K S, YU G, IDEA and ARIDEA: models for dealing with imprecise data in DEA[ J ]. Management Science, 1999,45(4) : 597-607.

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