Abstract
AbstractPractical warehouse system design can effectively improve warehouse management efficiency. Based on the characteristics of the modern warehouse system, it designs an intelligent warehouse system using Radio Frequency Identification (RFID) tag technology and an intelligent recommendation algorithm. The system includes an RFID-based warehouse management module, an intelligent recommendation module comprising a hybrid recommendation algorithm, and a database module. The hybrid intelligent recommendation algorithm consists of K-means clustering analysis, cosine similarity algorithm, and Markov chain algorithm. Firstly, K-means determines the cluster centroid and then recommends the shelf strategy according to the cosine similarity between the goods. After reaching a specific base, the intelligent recommendation algorithm based on Markov chain will analyze the warehousing habits and rules to deal with the instability caused by the frequent change of mass center after the increasing number of samples. Further, the system allows multi-platform operation of web client and WeChat Mini Programs and it shows the superiority of the system.KeywordsIntelligent warehouseRFID tagHybrid recommendation algorithmCosine similarityClustering analysisMarkov chain
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