云物流模式下基于可拓聚类的运输资源优化配置方法研究  

Research on Optimal Allocation Method of Transportation Resources Based on Extension Clustering under Cloud Logistics Mode

作　　者：李康威 苏凯凯 郭曼曼 唐苏州 毕启亮 LI Kang-wei;SU Kai-kai;GUO Man-man;TANG Su-zhou;BI Qi-liang(Tianjin University of Science and Technology,Tianjin 300457;Dayu Conserving Water(Tianjin)Co.,Ltd.,Tianjin 301712;Tianjin Vocational College of Mechanics and Electricity,Tianjin 300350,China)

机构地区：[1]天津科技大学,天津300457 [2]大禹节水(天津)有限公司,天津301712 [3]天津机电职业技术学院,天津300350

出　　处：《物流工程与管理》2022年第8期10-14,共5页Logistics Engineering and Management

摘　　要：为了使云物流模式下运输资源与任务订单更好地匹配,提高运输资源的使用效率、减少运输资源浪费、降低物流成本,提出了基于可拓聚类的运输资源优化配置方法,区别于传统的基于“距离”或“密度”的聚类,文中所应用的是一种基于包含关系且聚类过程不可逆的聚类方法,通过可拓聚类可以将所有满足任务订单要求的资源聚集在一起,然后基于可拓层次分析法建立一套合理的资源评价体系,从满足要求的运输资源中筛选出最为合适的运输资源。In order to make the transportation resources better match task orders under the cloud logistics mode,improve the efficiency of the use of transportation resources,reduce the waste of transportation resources,and lower logistics costs,the optimal allocation method of transportation resources based on extension clustering is proposed,which is different from the traditional clustering based on“distance”or“density”.The clustering method applied in this paper is based on the inclusion relationship with irreversible clustering process,through which all the resources that meet the requirements of the task order can be clustered together,and then a reasonable resource evaluation system is established based on the extension analytic hierarchy process method to select the most appropriate transportation resources from the transportation resources that meet the requirements.

关 键 词：云物流 资源聚类 可拓学 可拓聚类 可拓层次分析法 

分 类 号：F502[经济管理—产业经济]