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Optimization RFID-enabled Retail Store Management with Complex Event Processing

Peng, Shang-Lian; Liu, Ci-Jian; He, Jia; Yu, Hong-Nian; Li, Fan


Shang-Lian Peng

Ci-Jian Liu

Jia He

Fan Li


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.

Journal Article Type Article
Acceptance Date Nov 14, 2018
Online Publication Date Dec 27, 2018
Publication Date 2019-02
Deposit Date Jun 17, 2022
Journal International Journal of Automation and Computing
Print ISSN 1476-8186
Electronic ISSN 1751-8520
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 16
Issue 1
Pages 52-64
Keywords Complex event processing (CEP), radio frequency identification (RFID), Internet of things, data stream, supply chain, retail store
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