Comparative analysis of demand forecasting methods to optimize supply chain efficiency in pharmahealth group

HIGHLIGHTS

  • What: This study compares advanced demand forecasting methods to address these issues and optimize supply chain efficiency. This model is designed to provide more accurate demand predictions compared to individual forecasting models like ARIMA, Holt`s Winter, Exponential Time Series (ETS), and Theta, as evidenced by the forecasted values compared to the actual unit sales.
  • Who: IJCSRR @2020 Impact Factor: 5.654 from the School of Business Managament, Institut Technology Bandung have published the paper: International Journal of Current Science Research and Review, in the Journal: (JOURNAL) of 08/08/2024
  • How: By . . .

     

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