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http://dx.doi.org/10.6109/jkiice.2022.26.10.1447

Cloud-based Artificial Intelligence Fulfillment Service Platform in the Urban Manufacturing Cluster in Seoul  

Kim, Hyo-Young (Department of Convergence Engineering, Hoseo Graduate School of Venture)
Park, Dea-Woo (Department of Convergence Engineering, Hoseo Graduate School of Venture)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.26, no.10, 2022 , pp. 1447-1452 More about this Journal
Abstract
Seoul Special City, one of the world's top 10 cities and Metro City, has traditional urban manufacturing industries such as printing, sewing, and mechanical metals. Small business owners in these manufacturing clusters have developed in the form of mutual assistance. Due to the nature of the agglomeration site, each process is handled by an individual company. It is difficult for relatively small business owners to prepare order processing services that provide real-time logistics movement information between processes. This paper collects and analyzes existing logistics data for smooth order and delivery of small business owners in package manufacturing and special printing fields We design an artificial intelligence Fulfillment Service Platform system with CRNN, k-NN, and ID3 Decision Tree Algorithm. Through this study, it is expected that it will greatly contribute to increasing sales and improving capabilities by allowing small business owners in integrated areas to use individual orders and delivery customized services through the Cloud network.
Keywords
k-NN; CRNN; ID3 decision tree; fulfillment service; Urban manufacturing;
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