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作 者:汪先丽 刘桐 WANG Xianli;LIU Tong(Guizhou University of Commerce,Guiyang 550014,China)
机构地区:[1]贵州商学院,贵州贵阳550014
出 处:《物流科技》2023年第22期145-147,150,共4页Logistics Sci-Tech
基 金:2023年度贵州省高校人文社会科学研究项目资助“贵州旅游产业化研究”(2023GZGXRW068)。
摘 要:为保证旅游物流服务价值的最大化,需要针对旅游产业供应链不同环节进行物流运输、物流仓储、物流搬运装卸、物流配送及物流信息管理等资源整合,以降低旅游产业供应链的配送成本,提高旅游物流的运作与管理效率。文章在现代物流云服务理念的支持下,构建起了涵盖物流订单、物流运输任务、物流仓储、物流配送的供应链云网络架构,整合不同类型的旅游物流运营资源与服务需求资源,利用主成分分析法(Principal Component Analysis,PCA)整合旅游供应链资源,进而更好地发挥旅游物流的供应链参与、业务服务的作用。It is necessary to integrate resources such as logistics transportation,logistics warehousing,logistics handling,loading and unloading,logistics distribution,and logistics information management for different links of the tourism industry supply chain,to ensure the maximization of the value of tourism logistics services.It aims to reduce the distribution cost of the tourism industry supply chain and improve the efficiency of tourism logistics operation and management.With the support of modern logistics cloud service concepts,the paper constructs a supply chain cloud network architecture that covers logistics orders,logistics transportation tasks,logistics warehousing,and logistics distribution.It integrates different types of tourism logistics operation resources and service demand resources,and utilizes principal component analysis(PCA)to integrate tourism supply chain resources,thereby better leveraging the supply chain participation and business service role of tourism logistics.
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