To aggregate or not to aggregate: Forecasting of finite autocorrelated demand
Author:
Affiliation:
1. Cardiff Business School, Cardiff University, Cardiff, UK
2. Kedge Businesss School, Talence, France
Publisher
Informa UK Limited
Subject
Marketing,Management Science and Operations Research,Strategy and Management,Management Information Systems
Link
https://www.tandfonline.com/doi/pdf/10.1080/01605682.2022.2118631
Reference40 articles.
1. Forecasting method selection in a global supply chain
2. Improved Inventory Targets in the Presence of Limited Historical Demand Data
3. Forecast errors and inventory performance under forecast information sharing
4. Stochastic characterization of upstream demand processes in a supply chain
5. The Effect of Aggregation on Prediction in the Autoregressive Model
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1. Exploring the association between time series features and forecasting by temporal aggregation using machine learning;Neurocomputing;2023-09
2. Forecasting for lead-time period by temporal aggregation: Whether to combine and how;Computers in Industry;2023-02
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