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Ponencia
A new data-driven framework to select the optimal replenishment strategy in complex supply chains
(Elsevier, 2022)
Motivated by the high variability of markets occurred in the last years, which in turns determined significant uncertainty in lead times and supply chain dynamics, this paper introduces a data-driven framework based on ...
Tesis Doctoral
Reliability engineering advancements to enhance fleet asset management in service-oriented business models
(2020-12-17)
Esta tesis esta contextualizada en la gestión de activos, más concretamente esta enfocada a contribuir en el desarrollo y avance de la ingeniería de fiabilidad mediante una propuesta de valor que considera aspectos ...
Artículo
An ACS-based memetic algorithm for the heterogeneous vehicle routing problem with time windows
(Elsevier, 2020-11)
This paper presents a solution methodology to solve the heterogeneous vehicle routing problem with time windows (HVRPTW). This problem appears when a limited fleet of vehicles, characterized by different capacities, fixed ...
Tesis Doctoral
Análisis económico del sector eléctrico: impacto de los modelos de regulación de la distribución y del progreso tecnológico en el comportamiento de los usuarios
(2022-03-16)
Las políticas actuales de los países europeos en materia energética tienen como objetivo el desarrollo industrial y energético de forma sostenible. Para ello se promueven principalmente el uso de recursos renovables frente ...
Artículo
On the importance of assessing the operational context impact on maintenance management for life cycle cost of wind energy projects
(Elsevier, 2020-06)
The increasing demand for energy from renewable sources is entailing the development of technologies oriented to increase the profitability of such projects and thus the attractiveness for potential investors. Wind power ...
Artículo
Design and Assessment of an Urban Circular Combined Truck–Drone Delivery System Using Continuum Approximation Models and Integer Programming
(MDPI, 2022-10)
The analysis of tandem truck–drone delivery systems has recently attracted the attention of the research community, mainly focused on extending classical operational research problems such as the multiple traveling ...
Ponencia
A comparison of machine learning techniques for LNG pumps fault prediction in regasification plants
(Elsevier B.V., 2020)
We present a comparative study on the most popular machine learning methods applied to the challenging problem of Liquefied Natural Gas pumps fault prediction in regasification plants. The proposed solution tries to address ...
Artículo
A critical-path based iterated local search for the green permutation flowshop problem
(Elsevier, 2022-07)
The permutation flowshop scheduling problem is a widely studied combinatorial optimization problem with several real-world applications. In this paper we address a green variant of the problem with controllable processing ...
Artículo
A speed-up procedure for the hybrid flow shop scheduling problem
(Elsevier Ltd, 2021)
During the last decades, hundreds of approximate algorithms have been proposed in the literature addressing flow-shop-based scheduling problems. In the race for finding the best proposals to solve these problems, speedup ...
Artículo
A bi-criteria approach to the truck-multidrone routing problem
(Elsevier, 2024-06)
In the rapidly expanding field of e-commerce logistics, the optimisation of last-mile delivery solutions is paramount. This paper introduces a novel methodology that addresses this challenge by generating approximate Pareto ...