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All Outputs (4)

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.

A genetic algorithm with composite chromosome for shift assignment of part-time employees (2018)
Conference Proceeding
Xue, N., Landa-Silva, D., Triguero, I., & Figueredo, G. P. (2018). A genetic algorithm with composite chromosome for shift assignment of part-time employees.

Personnel scheduling problems involve multiple tasks, including assigning shifts to workers. The purpose is usually to satisfy objectives and constraints arising from management, labour unions and employee preferences. The shift assignment problem is... Read More about A genetic algorithm with composite chromosome for shift assignment of part-time employees.

A set-covering model for a bidirectional multi-shift full truckload vehicle routing problem (2015)
Journal Article
Bai, R., Xue, N., Chen, J., & Roberts, G. W. (in press). A set-covering model for a bidirectional multi-shift full truckload vehicle routing problem. Transportation Research Part B: Methodological, 79, https://doi.org/10.1016/j.trb.2015.06.002

This paper introduces a bidirectional multi-shift full truckload transportation problem with operation dependent service times. The problem is different from the previous container transport problems and the existing approaches for container transpor... Read More about A set-covering model for a bidirectional multi-shift full truckload vehicle routing problem.