为了改进现行A级物流企业评估标准,研究了A级物流企业灰色聚类评估方法.以现行A级物流企业评估标准为依据,建立A级物流企业综合评估指标体系.对各指标性质及取值特点进行分析,综合白化权函数理论,明确A级物流企业评估指标不同灰类白化权函数确定方法,提出了通过计算聚类系数来分析物流企业及其指标所属灰类级的一种方法.借助现行标准评估指标界限,确定了综合服务型A级物流企业评估指标在不同灰类级的白化权函数类型及其界限值.对两个物流企业的实际评估,验证了该方法的可行性和合理性.
Abstract
To improve the current assessment standard of the Agrade logistics enterprises, grey clustering assessment approach of the Agrade logistics enterprises was studied. According to the current assessment standard of the Agrade logistics enterprises, the comprehensive assessment index system of Agrade logistics enterprises was established. The characters and value scope of the indexes were analyzed, the method of determining the whitenization weigh functions of different grades for Agrade logistics enterprises was pinpointed by synthesizing the whitenization weight function theory, and the approach of analyzing the grades of logistics enterprises and their assessment indexes was provided by means of clustering coefficients. By virtue of the boundaries of the current assessment indexes, the types and the boundary values for the different grades of whitenization weigh functions were confirmed for the assessment indexes of the integratedtype Agrade logistics enterprises. Through evaluating two logistics enterprises, the feasibility and rationality of the approach are verified and further deeply research idea is provided.
关键词
A级物流企业 /
灰色聚类评估 /
白化权函数 /
聚类系数
Key words
A-grade logistics enterprise /
grey clustering assessment /
whitenization weight function /
clustering coefficient
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
［1］中华人民共和国国家质量监督检验检疫总局.GB/T19680-2005物流企业分类与评估指标［S］.北京:中国标准出版社,2005.
［2］中物联. 审议通过了第十五批A级物流企业名单［N］.现代物流报,2013-01-25(A01).
［3］张兰怡,邱荣祖. 我国物流发展现状与展望 ［J］. 物流科技,2010(12):8-11.
ZHANG Lan-yi,QIU Rong-zu.The status and prospects of logistics development in China［J］.Logistics SciTech,2010(12):8-11.
(in Chinese)
［4］LI Fa-chao, LI Ling, JIN Chen-xia,et al. A 3PL supplier selection model based on fuzzy sets［J］. Computers & Operations Research,2012,39(8)：1879-1884.
［5］宋杨.基于模糊层次分析法的绿色物流企业综合效益评价研究［J］.物流技术,2010,29(8): 105-107.
SONG Yang. The comprehensive benefit evaluation of green logistics enterprises based on FAHP［J］. Logistics Technology,2010,29(8): 105-107.(in Chinese)
［6］陈方健.物流企业客户满意度评估规范研究［J］. 物流技术,2012,31(10):17-19.
CHEN Fang-jian. Study on standards for customer satisfaction evaluation of logistics enterprises［J］. Logistics Technology ,2012,31(10):17-19.(in Chinese)
［7］ALVES JUNIOR O C,RABELO R J. A methodology for logistics partners’ selection to compose virtual organizations based on KPI［J］. IFIP Advances in Information and Communication Technology,2011(362):439-449.
［8］ CHANG B, CHANG Chih-wei, WU Chih-hung. Fuzzy DEMATEL method for developing supplier selection criteria［J］. Expert Systems with Applications,2011,38(3):1850-1858.
［9］ CELIK M,CEBI S,KAHRAMAN C, et al. Application of axiomatic design and TOPSIS methodologies under fuzzy environment for proposing competitive strategies on Turkish container ports in maritime transportation network［J］. Expert Systems with Applications,2009,36(3):4541-4557.
［10］CHEN Fu-hsiang, HSU Tsung-shin, TZENG Gwo-hshiung. A balanced scorecard approach to establish a performance evaluation and relationship model for hot spring hotels based on a hybrid MCDM model combining DEMATEL and ANP［J］. International Journal of Hospitality Management, 2011,30(4):908-932.
［11］江京金. 基于G-ANP的第三方物流企业核心竞争力评价研究与应用［D］. 广州：华南理工大学,2012.
JIANG Jing-jin.Research and application on evaluation of TPL enterprises’ core competence based on G-ANP method［D］.Guangzhou:South China University of Technology,2012.(in Chinese)
［12］刘思峰,党耀国,方志耕,等.灰色系统理论及其应用［M］.北京:科学出版社,2004:96-109.
［13］曾波,刘思峰,崔杰.白化权函数已知的区间灰数预测模型［J］.控制与决策,2010,25(12): 1815-1820.
ZENG Bo,LIU Si-feng,CUI Jie.Prediction model for interval grey number with known whitenization weight function［J］.Control and Decision,2010,25(12):1815-1820.(in Chinese)
［14］王正新,党耀国,刘思峰. 基于白化权函数分类区分度的变权灰色聚类［J］. 统计与信息论坛,2011,26(6):23-27.
WANG Zheng-xin,DANG Yao-guo,LIU Si-feng.Grey clusters with variable weights based on the classification degree of the whitening weight functions［J］.Statistics & Information Forum,2011,26(6):23-27.(in Chinese)
基金
国家自然科学基金资助项目(71271035).
PDF(566 KB)
