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Ml-driven approaches to enhance inventory planning: Inoculant weight application in casting processes
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References

  • 1975The Predictive Sample Reuse Method with Applications2,771 cited
  • 1958Dynamic Version of the Economic Lot Size Model2,068 cited
  • 2020Machine learning demand forecasting and supply chain performance377 cited
  • 2020Daily retail demand forecasting using machine learning with emphasis on calendric special days176 cited
  • 2020Data Analytics in the Supply Chain Management: Review of Machine Learning Applications in Demand Forecasting134 cited
  • 2020Machine learning for demand forecasting in the physical internet: a case study of agricultural products in Thailand115 cited
  • 2022Predictive analytics for demand forecasting: A deep learning-based decision support system114 cited
  • 2020Comparison of statistical and machine learning methods for daily SKU demand forecasting111 cited
  • 2022A Comparative Study of Demand Forecasting Models for a Multi-Channel Retail Company: A Novel Hybrid Machine Learning Approach103 cited
  • 2020Failure prediction of Indian Banks using SMOTE, Lasso regression, bagging and boosting77 cited
  • 2019Demand forecasting in restaurants using machine learning and statistical analysis75 cited
  • 2022Demand forecasting based machine learning algorithms on customer information: an applied approach73 cited
  • 2021Machine Learning and Statistics: A Study for assessing innovative Demand Forecasting Models66 cited
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A new methodology for multi-echelon inventory management in stochastic and neuro-fuzzy environments
56 cited
  • 2021From demand forecasting to inventory ordering decisions for red blood cells through integrating machine learning, statistical modeling, and inventory optimization45 cited
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