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http://dx.doi.org/10.22156/CS4SMB.2019.9.3.016

A Model Design for Enhancing the Efficiency of Smart Factory for Small and Medium-Sized Businesses Based on Artificial Intelligence  

Jeong, Yoon-Su (Department of information Communication Convergence Engineering, Mokwon University)
Publication Information
Journal of Convergence for Information Technology / v.9, no.3, 2019 , pp. 16-21 More about this Journal
Abstract
Small and medium-sized Korean companies are currently changing their industrial structure faster than in the past due to various environmental factors (such as securing competitiveness and developing excellent products). In particular, the importance of collecting and utilizing data produced in smart factory environments is increasing as diverse devices related to artificial intelligence are put into manufacturing sites. This paper proposes an artificial intelligence-based smart factory model to improve the process of products produced at the manufacturing site with the recent smart factory. The proposed model aims to ensure the increasingly competitive manufacturing environment and minimize production costs. The proposed model is managed by considering not only information on products produced at the site of smart factory based on artificial intelligence, but also labour force consumed in the production of products, working hours and operating plant machinery. In addition, data produced in the proposed model can be linked with similar companies and share information, enabling strategic cooperation between enterprises in manufacturing site operations.
Keywords
Small business; Artificial intelligence; Smart factory; Big data; Production datak;
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Times Cited By KSCI : 4  (Citation Analysis)
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