基于云模型-MABAC方法的冷链物流竞争力评价

Evaluation of Cold Chain Logistics Competitiveness Based on Cloud Model-MABAC Approach

摘要: 随着冷链物流服务的市场需求不断增加，我国冷链物流发展进入了快车道。为了评估冷链物流竞争力水平，本文提出了云模型-MABAC冷链物流竞争力评价模型，并以长三角地区三省一市冷链物流竞争力为研究对象进行评价，云模型-MABAC方法具有保留模糊性和随机性以及考虑潜在损益价值的优点。结果表明，江苏省冷链物流竞争力排名最高，安徽省冷链物流竞争力排名最低，浙江省和上海市冷链物流竞争力处于中间水平。对长三角地区三省一市冷链物流发展提出建议，促进长三角地区三省一市冷链物流建设现代化冷链物流示范区和枢纽。

Abstract: With the increasing market demand for cold chain logistics services, the development of cold chain logistics in China has entered the fast lane. In order to evaluate the level of competitiveness of cold chain logistics, this paper proposes a cloud model-MABAC cold chain logistics competitiveness evaluation model and evaluates the competitiveness of cold chain logistics in three provinces and one city in the Yangtze River Delta region as the research object. The cloud model-MABAC has the advantage of preserving ambiguity and randomness as well as considering the value of potential gains and losses. The results show that Jiangsu Province ranks the highest in cold chain logistics competitiveness, Anhui Province ranks the lowest in cold chain logistics competitiveness, and Zhejiang Province and Shanghai Municipality rank in the middle. Suggestions are made for the development of cold chain logistics in the three provinces and one city in the Yangtze River Delta region, in order to promote the construction of modern cold chain logistics demonstration zones and hubs in the three provinces and one city in the Yangtze River Delta region.