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All Outputs (2)

Evolving Deep CNN-LSTMs for Inventory Time Series Prediction (2019)
Conference Proceeding
Xue, N., Triguero, I., Figueredo, G. P., & Landa-Silva, D. (2019). Evolving Deep CNN-LSTMs for Inventory Time Series Prediction. . https://doi.org/10.1109/CEC.2019.8789957

Inventory forecasting is a key component of effective inventory management. In this work, we utilise hybrid deep learning models for inventory forecasting. According to the highly nonlinear and non-stationary characteristics of inventory data, the mo... Read More about Evolving Deep CNN-LSTMs for Inventory Time Series Prediction.

A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food (2019)
Conference Proceeding
Xue, N., Landa-Silva, D., Figueredo, G. P., & Triguero, I. (2019). A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food. In Proceedings of the 8th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES (406-413). https://doi.org/10.5220/0007401304060413

The taste and freshness of perishable foods decrease dramatically with time. Effective inventory management requires understanding of market demand as well as balancing customers needs and references with products’ shelf life. The objective is to av... Read More about A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food.