Forecasting spare part extractions from returned systems in a closed-loop supply chain
Author:
Affiliation:
1. Université Paris-Saclay, CentraleSupélec, Laboratoire Genie Industriel, Gif-sur-Yvette, France
2. Laboratoire OASIS, Ecole Nationale d'Ingénieurs de Tunis, Université Tunis El Manar, Tunis, Tunisia
3. GE HealthCare, Buc, France
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2024.2333052
Reference84 articles.
1. Demand Forecasting for Irregular Demands in Business Aircraft Spare Parts Supply Chains by using Artificial Intelligence (AI)
2. Clustering for inventory control systems
3. A new fuzzy linear assignment method for multi-attribute decision making with an application to spare parts inventory classification
4. Advances in Spare Parts Classification and Forecasting for Inventory Control: A Literature Review
5. Box, G. E., G. M. Jenkins, G. C. Reinsel, and G. M. Ljung. 2015. Time Series Analysis: Forecasting and Control. John Wiley & Sons.
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