Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion

Author:

Abolghasemi MahdiORCID,Beh Eric,Tarr GarthORCID,Gerlach RichardORCID

Funder

Australian Research Council

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference76 articles.

1. Abolghasemi, M., Eshragh, A., Hurley, J., & Fahimnia, B. (2019a). Demand forecasting in the presence of systematic events: Cases in capturing sales promotions. arXiv preprint arXiv:1909.02716.

2. Abolghasemi, M., Hyndman, R.J., Tarr, G., & Bergmeir, C. (2019b). Machine learning applications in time series hierarchical forecasting. arXiv preprint arXiv:1912.00370.

3. Improved supply chain management based on hybrid demand forecasts;Aburto;Applied Soft Computing,2007

4. An empirical comparison of machine learning models for time series forecasting;Ahmed;Econometric Reviews,2010

5. SKU demand forecasting in the presence of promotions;Ali;Expert Systems with Applications,2009

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