基于群组决策和模糊评价法的物流企业低碳水平研究  

Research on Low Carbon Level of Logistics Enterprises Based on Group Decision and Fuzzy Evaluation Method

作　　者：邹浩[1] 尹庆 钟雯 Zou Hao;Yin Qing;Zhong Wen(Hunan University of Finance&Economics,Changsha 410205,China)

机构地区：[1]湖南财政经济学院,湖南长沙410205

出　　处：《物流技术》2020年第4期45-47,59,共4页Logistics Technology

基　　金：湖南省教育厅科学研究优秀青年项目“低碳经济模式下供应链网络优化设计与均衡分析研究”(18B484);湖南省普通高等学校教学改革研究项目“基于协同创新理念的物流管理专业立体化实践教学体系构建”(湘教通[2019]291号-1079)。

摘　　要：考虑物流企业低碳有关流程特性,从低碳生产、低碳包装、低碳仓储、低碳运输四个方面构建了物流企业低碳水平评价指标体系,并结合群组决策和模糊综合法构建了评价模型,最后通过算例分析验证了模型的科学性和合理性。研究结论表明,低碳生产工艺、清洁能源使用、新能源汽车使用对物流企业低碳水平的影响较大。Considering the characteristics of the low-carbon related processes of logistics enterprises,we constructed a low-carbon level evaluation index system for logistics enterprises from the four aspects of low-carbon production,low-carbon packaging,low-carbon warehousing,and low-carbon transportation,then in combination with group decision-making and fuzzy comprehensive method,built the relevant evaluation model,and finally verified its effectiveness and rationality through a numerical example.The conclusion of the study shows that low-carbon production processes,use of clean energy,and use of new energy vehicles have greater impact on the low-carbon level of the logistics companies.

关 键 词：群组决策 模糊综合评价 低碳水平 物流企业 

分 类 号：F259.23[经济管理—国民经济] F224