摘要
为解决物流园区物流资源要素分散和物流服务协同分配的问题,提出一种新的物流园区物流服务模式——云物流服务。将园区各类客户资源和物流资源抽象成虚拟的云服务资源,建立了云物流服务平台,并对其体系架构进行了分析与设计;同时根据园区供应链作业节点的任务环境引入情境感知计算分析模型,建立了面向园区任务情境的自适应物流服务资源的动态组合与分配机制。相关研究探索了一条新的基于"推式策略"的物流服务实现路径,提供个性化和安全高效的多对多的物流服务。
To solve the problems of logistics park logistics resources elements dispersed and logistics services co-allocation, this paper put forward a new logistics park model of logistics services cloud logistics services. It abstracted all kinds of cus- tomer resources and logistics resources of the park into virtual cloud services to establish the cloud service platform, and ana- lysed and designed the system architecture. According to the task environment of the industrial park supply chain operation node to introduce the context-aware analysis model, and set up the dynamic combination and allocation mechanism which faced the park task context adaptive logistics service resources. Related research explored a new path based on the ＂push strategy＂ logistics service, which provided personalized and secure and efficient many-to-many logistics service.
出处
《计算机应用研究》
CSCD
北大核心
2014年第2期476-479,484,共5页
Application Research of Computers
基金
江苏省高校哲学社会科学基金资助项目(2012SJB630004)
江苏省哲学社会科学基金资助项目(10EYD031)
淮阴工学院科研基金资助项目
关键词
物流园区
云物流服务
情境感知
logistics park
cloud logistics services
context aware
