A performance evaluation method for radio frequency identification-based tracking network of job-shop-type work-in-process material flows
A performance evaluation method for radio frequency identification-based tracking network of job-shop-type work-in-process material flows
复制标题
基于射频识别的车间型在制品物流跟踪网络性能评价方法
DOI：
10.1177/0954405413481713
复制
发表时间：
2013-10-01
期刊：
影响因子：
2.6
通讯作者：
Cao, Wei
中科院分区：
文献类型：
--
作者：
Zhang, Fuqiang;Jiang, Pingyu;Cao, Wei
随着现代制造业的快速发展，基于射频识别的物流跟踪网络逐渐建立起来，用于对车间内的物流进行监控和跟踪。提出了一种基于事件驱动的图模式的在制品物流跟踪网络建模与分析方法。将模式元素映射到网络节点，将模式元素之间的关联关系映射到网络边。此外，提出了相应的措施和指标，以评估在制品物流跟踪网络的性能。最后通过一个简单的算例验证了该方法的可行性。期望本研究能为指导和优化基于射频识别的车间型物流跟踪配置方案提供系统的评价方法。
With the rapid development of the modern manufacture, a radio frequency identification-based tracking network has been gradually established to monitor and track the material flows in a job-shop floor. Based on an event-driven graphical schema, this article puts forward a new method for modeling and analyzing the job-shop-type work-in-process material flows tracking network. The schema elements are mapped into the network nodes, and the association relationships among the elements are mapped into the network edges. Furthermore, corresponding measures and metrics are presented to evaluate the work-in-process material flows tracking network performance. Finally, a simple example is given to verify the feasibility of the proposed method. It is expected that this study will provide a systemic evaluation method for guiding and optimizing the radio frequency identification-based tracking configuration solution for job-shop-type material flows.