云计算虚拟现实技术供应链协同系统设计与实现  

Cloud Computing Collaborative Management Technology of Supply Chain Based on Personalized Data Mining

作　　者：张生福[1] 

机构地区：[1]青海民族大学计算机学院,西宁810007

出　　处：《计算机测量与控制》2017年第6期261-263,共3页Computer Measurement &Control

基　　金：国家民委高等教育教学改革研究项目(15072)

摘　　要：针对如何保障用户个性化需求的准确度和反馈满意度问题,建立了个性化基于虚拟现实供应链云计算协同管理技术;首先分析了行业特点和个性化服务特性,同时综合考虑服务时间、成本、用户体验质量等特征,提出了个性化数据挖掘虚拟现实控制机制;其次,基于云计算提出了协同管理控制系统架构,优化用户个性化需求和解决差异化对供应链的影响;与非协同管理方案相比,所提出的协同管理算法将个性化差异对供应链管理的干扰降低25%,保障用户满意度处于较高水平。Aiming at the problem of how to ensure the accuracy and feedback satisfaction of the users＇ personalized travel demand, the collaborative management technology of cloud computing in the tourism supply chain is established. Firstly, the characteristics of the tourism industry and the characteristics of personalized service are analyzed, and the characteristics of the service time, the cost of tourism and the quality of the user experience are considered. Secondly, cloud computing presents a collaborative management framework based on Optimiza- tion of personalized travel demand and solve the differential effects on the tourism supply chain. Compared with the non--cooperative man- agement scheme, the proposed scheme of collaborative management will interfere with individual differences on tourism supply chain manage- ment to reduce 25%, protect the user satisfaction at a higher level.

关 键 词：虚拟现实 数据挖掘 供应链管理 协同算法 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]