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Supply Chain에서 인공지능의 활용에 관한 연구 :머신러닝 기반의 분류 기법 활용
고강욱 ( Ko¸ Kang Wook ),옥창훈 ( Ok¸ Chang Hoon ),김영민 ( Kim¸ Young Min ) 한국경영공학회 2023 한국경영공학회지 Vol.28 No.3
Purpose The study aims to identify trends, assess research status by country and SCOR standard processes, and provide machine learning-based classification methods in the research area. Methods Qualitative analysis is conducted on a total 493 literature data. And nine machine learning models to classify the SCM process are performed Results Artificial intelligence in Supply Chain research has been consistent since 1998, with a noteworthy concentration from 2017 to 2023. High-performing models (XGBoost, LightGBM, CatBoost) achieve F1 values exceeding 70% and AUC values over 80%, effectively classifying literature data into SCOR's 6 processes. Conclusion In Supply Chain research, focus is on 'Enable' for decision support and 'Plan' for predictive optimization,. This addresses global AI-driven efficiency demands for strengthening domestic supply chains. Korea's 1% contribution requires policy-driven activation. Employing ML-based classification enhances future analysis, allowing ongoing research and easy referencing for national and corporate endeavors.