基于灰色关联分析法的铁路物流服务方案评价
|
摘要
选择合理的铁路物流服务方案对优化物流资源配置、提高铁路物流服务质量具有重要意义。针对铁路物流服务方案数量多、部分方案服务质量不高等问题,结合评价指标体系构建原则,选择经济性能、技术性能、服务水平和社会服务4个方面的评价指标,建立铁路物流服务方案评价指标体系,提出基于灰色关联分析法的铁路物流服务方案评价方法,并通过案例分析阐述该评价方法的可行性。评价结果表明,灰色关联分析法具有有效性和合理性,能够为铁路物流服务方案评价问题提供客观的科学依据。
It is of great significance to choose a reasonable railway logistics service solution for optimizing logistics resource allocation and improving the quality of railway logistics service. Aiming at the problems such as the large number of railway logistics service schemes and low service quality of some schemes, the evaluation index system of railway logistics service schemes is established by selections of evaluation indicators in four aspects: economic performance, technical performance, service level and social service, combining with the construction principle of evaluation index. This paper establishes an evaluation index system of railway logistics service solution, puts forward the evaluation method of railway logistics service solution based on grey relational analysis, and expounds the feasibility of the evaluation method through case analysis. The evaluation results show that the grey relational analysis method is effective and reasonable, and they can provide an objective scientific basis for the evaluation of railway logistics service schemes.
It is of great significance to choose a reasonable railway logistics service solution for optimizing logistics resource allocation and improving the quality of railway logistics service. Aiming at the problems such as the large number of railway logistics service schemes and low service quality of some schemes, the evaluation index system of railway logistics service schemes is established by selections of evaluation indicators in four aspects: economic performance, technical performance, service level and social service, combining with the construction principle of evaluation index. This paper establishes an evaluation index system of railway logistics service solution, puts forward the evaluation method of railway logistics service solution based on grey relational analysis, and expounds the feasibility of the evaluation method through case analysis. The evaluation results show that the grey relational analysis method is effective and reasonable, and they can provide an objective scientific basis for the evaluation of railway logistics service schemes.
引文
[1]刘启钢.铁路全程物流服务措施配置方案的优化[J].中国铁道科学,2017,38(5):138-144.LIU Qigang.Optimization of Service Measure Configuration Scheme for Railway Whole Logistics[J].China Railway Science,2017,38(5):138-144.
[2]鞠蓓.铁路开展物流总包业务的实践与思考[J].物流工程与管理,2016,38(4):60-61.JU Bei.Practice and Thoughts on Railway Logistics Package Agent Business[J].Logistics Engineering and Management,2016,38(4):60-61.
[3]邓鹏.基于模糊层次分析法的客运枢纽协调性评价[J].铁道运输与经济,2015,37(9):33-36.DENG Peng.Coordination Evaluation of Passenger Transport Hub based on FAHP Method[J].Railway Transport and Economy,2015,37(9):33-36.
[4]王丹竹,刘启钢,席江月,等.铁路物流总包业务统计指标体系及评价研究[J].铁道货运,2017,35(12):6-11.WANG Danzhu,LIU Qigang,XI Jiangyue,et al.Research on Statistical Index System and Evaluation of Railway Logistics Agent Business[J].Railway Freight Transport,2017,35(12):6-11.
[5]李强,韩俊涛,王永成,等.基于层次分析法的铁路PPP项目风险评价[J].铁道运输与经济,2017,39(10):7-11,30.LI Qiang,HAN Juntao,WANG Yongcheng,et al.Risk Evaluation of Railway PPP Project based on AHP[J].Railway Transport and Economy,2017,39(10):7-11,30.
[6]颉栋栋,盖宇仙,李成.基于AHP-TOPSIS法的铁路物流中心设计方案比选研究[J].物流科技,2010,33(6):42-46.JIE Dongdong,GAI Yuxian,LI Cheng.Study on the Selection of Railway Logistics Center Design Scheme based on AHP-TOPSIS Method[J].Logistics SCI-Tech,2010,33(6):42-46.
[7]滕勇,李红艳,冯芬玲,等.基于DEA的中国铁路物流化运营绩效评价[J].铁道科学与工程学报,2010,7(5):113-117.TENG Yong,LIHongyan,FENG Fenling,et al.Assessment of China Railway Logistics Performance based on DEA[J].Journal of Railway Science and Engineering,2010,7(5):113-117.
[8]马晓晨,薛锋.基于灰色关联方法的铁路货运站服务质量评价[J].交通运输工程与信息学报,2015(1):63-66.MA Xiaochen,XUE Feng.Service Quality Evaluation of Railway Station based on Grey Correlation Method[J].Journal of Transportation Engineering and Information,2015(1):63-66.
[9]TAN X,DENG J,LIU S,et al.Multi-stratum Medical Grey Relational Theory and Its Application Research[C]//Institute of Electrical and Electronics Engineers.2007 IEEEInternational Conference on Systems,Man and Cybernetics.Montreal:IEEE,2007:3932-3937.
[2]鞠蓓.铁路开展物流总包业务的实践与思考[J].物流工程与管理,2016,38(4):60-61.JU Bei.Practice and Thoughts on Railway Logistics Package Agent Business[J].Logistics Engineering and Management,2016,38(4):60-61.
[3]邓鹏.基于模糊层次分析法的客运枢纽协调性评价[J].铁道运输与经济,2015,37(9):33-36.DENG Peng.Coordination Evaluation of Passenger Transport Hub based on FAHP Method[J].Railway Transport and Economy,2015,37(9):33-36.
[4]王丹竹,刘启钢,席江月,等.铁路物流总包业务统计指标体系及评价研究[J].铁道货运,2017,35(12):6-11.WANG Danzhu,LIU Qigang,XI Jiangyue,et al.Research on Statistical Index System and Evaluation of Railway Logistics Agent Business[J].Railway Freight Transport,2017,35(12):6-11.
[5]李强,韩俊涛,王永成,等.基于层次分析法的铁路PPP项目风险评价[J].铁道运输与经济,2017,39(10):7-11,30.LI Qiang,HAN Juntao,WANG Yongcheng,et al.Risk Evaluation of Railway PPP Project based on AHP[J].Railway Transport and Economy,2017,39(10):7-11,30.
[6]颉栋栋,盖宇仙,李成.基于AHP-TOPSIS法的铁路物流中心设计方案比选研究[J].物流科技,2010,33(6):42-46.JIE Dongdong,GAI Yuxian,LI Cheng.Study on the Selection of Railway Logistics Center Design Scheme based on AHP-TOPSIS Method[J].Logistics SCI-Tech,2010,33(6):42-46.
[7]滕勇,李红艳,冯芬玲,等.基于DEA的中国铁路物流化运营绩效评价[J].铁道科学与工程学报,2010,7(5):113-117.TENG Yong,LIHongyan,FENG Fenling,et al.Assessment of China Railway Logistics Performance based on DEA[J].Journal of Railway Science and Engineering,2010,7(5):113-117.
[8]马晓晨,薛锋.基于灰色关联方法的铁路货运站服务质量评价[J].交通运输工程与信息学报,2015(1):63-66.MA Xiaochen,XUE Feng.Service Quality Evaluation of Railway Station based on Grey Correlation Method[J].Journal of Transportation Engineering and Information,2015(1):63-66.
[9]TAN X,DENG J,LIU S,et al.Multi-stratum Medical Grey Relational Theory and Its Application Research[C]//Institute of Electrical and Electronics Engineers.2007 IEEEInternational Conference on Systems,Man and Cybernetics.Montreal:IEEE,2007:3932-3937.