added paper list

# Academic Papers for Supply Chain Simulation and Forecasting Project

## TiRex foundation model papers

### Primary Citation: TiRex Architecture Paper

**Full Title:** TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning

**Authors:** Andreas Auer, Patrick Podest, Daniel Klotz, Sebastian Böck, Günter Klambauer, and Sepp Hochreiter

**URL:** https://arxiv.org/abs/2505.23719

**APA Citation:**

Auer, A., Podest, P., Klotz, D., Böck, S., Klambauer, G., & Hochreiter, S. (2025). TiRex: Zero-shot forecasting across long and short horizons with enhanced in-context learning. In *Advances in Neural Information Processing Systems 39 (NeurIPS 2025)*. https://arxiv.org/abs/2505.23719

**Note** : Papier de TiRex, modèle final utilisé dans l'app horloml. À noter qu'utiliser TiRex (ce modèle) dans de la supply chain semble novateur ! Potentielle plusvalue ici.

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### Secondary Citation: TiRex for Classification

**Full Title:** Pre-trained Forecasting Models: Strong Zero-Shot Feature Extractors for Time Series Classification

**Authors:** Andreas Auer, Daniel Klotz, Sebastian Böck, and Sepp Hochreiter

**URL:** https://arxiv.org/abs/2510.26777

**APA Citation:**

Auer, A., Klotz, D., Böck, S., & Hochreiter, S. (2025). Pre-trained forecasting models: Strong zero-shot feature extractors for time series classification. In *NeurIPS 2025 Workshop on Recent Advances in Time Series Foundation Models*. https://arxiv.org/abs/2510.26777

**Note** : Idem, utilisation de TiRex et utilisation globale de ce modèle d'IA, relevant comme exemple et comparaisons

## Prophet forecasting methodology

### Original Prophet Paper (Essential Citation)

**Full Title:** Forecasting at Scale

**Authors:** Sean J. Taylor and Benjamin Letham

**Journal:** The American Statistician, Volume 72, Issue 1, Pages 37-45  

**DOI:** https://doi.org/10.1080/00031305.2017.1380080  

**Open Access PDF:** https://peerj.com/preprints/3190.pdf

**APA Citation:**

Taylor, S. J., & Letham, B. (2018). Forecasting at scale. *The American Statistician, 72*(1), 37-45. https://doi.org/10.1080/00031305.2017.1380080

**Note** : Prophet, un des modèles testés et le standard moderne de forecasting avec ML (surpassé par TiRex dans notre cas)

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### Prophet Application in Supply Chain

**Full Title:** The Hybrid PROPHET-SVR Approach for Forecasting Product Time Series Demand with Seasonality

**Authors:** Liyuan Guo, Weiwei Fang, Qing Zhao, and Xiaoxue Wang

**Journal:** Computers & Industrial Engineering, Volume 161, Article 107598  

**DOI:** https://doi.org/10.1016/j.cie.2021.107598

**APA Citation:**

Guo, L., Fang, W., Zhao, Q., & Wang, X. (2021). The hybrid PROPHET-SVR approach for forecasting product time series demand with seasonality. *Computers & Industrial Engineering, 161*, 107598. https://doi.org/10.1016/j.cie.2021.107598

**Note** : Utilisation de prophet dans de la supply chain

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## Autoregressive model foundations

### ARIMA Application in Demand Forecasting

**Full Title:** Forecasting of Demand Using ARIMA Model

**Authors:** Jamal Fattah, Latifa Ezzine, Zineb Aman, Haj El Moussami, and Abdeslam Lachhab

**Journal:** International Journal of Engineering Business Management, Volume 10  

**DOI:** https://doi.org/10.1177/1847979018808673  

**URL:** https://journals.sagepub.com/doi/10.1177/1847979018808673

**APA Citation:**

Fattah, J., Ezzine, L., Aman, Z., El Moussami, H., & Lachhab, A. (2018). Forecasting of demand using ARIMA model. *International Journal of Engineering Business Management, 10*, 1-9. https://doi.org/10.1177/1847979018808673

**Note** : exemple de modèle d'autoregression (AR) en supply chain

## Forecasting in Supply Chain Education Games

**Full Title:** Learning by Gaming: Supply Chain Application

**Authors:** Ayman Tobail, John Crowe, and Amr Arisha

**Conference:** Proceedings of the 2011 Winter Simulation Conference, Pages 3940-3951  

**DOI:** 10.1109/WSC.2011.6148080  

**URL:** https://www.informs-sim.org/wsc11papers/350.pdf

**APA Citation:**

Tobail, A., Crowe, J., & Arisha, A. (2011). Learning by gaming: Supply chain application. In S. Jain, R. R. Creasey, J. Himmelspach, K. P. White, & M. Fu (Eds.), *Proceedings of the 2011 Winter Simulation Conference* (pp. 3940-3951). IEEE. https://doi.org/10.1109/WSC.2011.6148080

**Note** : Exemple de simulation (ici même un jeu) assez comparable. Si notre app n'est pas un jeu, l'interface et l'aspect "chercher le meilleur score possible" s'applique clairement à de la gamification