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Optimization RFID-enabled Retail Store Management with Complex Event Processing 被引量:1
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作者 shang-lian peng Ci-Jian Liu +2 位作者 Jia He Hong-Nian Yu Fan Li 《International Journal of Automation and computing》 EI CSCD 2019年第1期52-64,共13页
Radio frequency identification(RFID) enabled retail store management needs workflow optimization to facilitate real-time decision making. In this paper, complex event processing(CEP) based RFID-enabled retail store ma... Radio frequency identification(RFID) enabled retail store management needs workflow optimization to facilitate real-time decision making. In this paper, complex event processing(CEP) based RFID-enabled retail store management is studied, particularly focusing on automated shelf replenishment decisions. We define different types of event queries to describe retailer store workflow action over the RFID data streams on multiple tagging levels(e.g., item level and container level). Non-deterministic finite automata(NFA)based evaluation models are used to detect event patterns. To manage pattern match results in the process of event detection, optimization algorithm is applied in the event model to share event detection results. A simulated RFID-enabled retail store is used to verify the effectiveness of the method, experiment results show that the algorithm is effective and could optimize retail store management workflow. 展开更多
关键词 Complex EVENT processing(CEP) radio frequency identification(RFID) Internet of THINGS data STREAM supply chain RETAIL STORE
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