A decision support system for applying failure mode and effects analysis J Puente, R Pino, P Priore, D de la Fuente International Journal of Quality & Reliability Management 19 (2), 137-150, 2002 | 312 | 2002 |
Distribución en planta D De la Fuente García, IF Quesada Universidad de oviedo, 2005 | 259* | 2005 |
A vision of industry 4.0 from an artificial intelligence point of view M Dopico, A Gómez, D De la Fuente, N García, R Rosillo, J Puche Proceedings on the international conference on artificial intelligence (ICAI …, 2016 | 175 | 2016 |
Applying machine learning to the dynamic selection of replenishment policies in fast-changing supply chain environments P Priore, B Ponte, R Rosillo, D de la Fuente International Journal of Production Research 57 (11), 3663-3677, 2019 | 152 | 2019 |
Technical analysis and the Spanish stock exchange: testing the RSI, MACD, momentum and stochastic rules using Spanish market companies R Rosillo, D De la Fuente, JAL Brugos Applied Economics 45 (12), 1541-1550, 2013 | 145 | 2013 |
A comparison of machine-learning algorithms for dynamic scheduling of flexible manufacturing systems P Priore, D de la Fuente, J Puente, J Parreño Engineering Applications of Artificial Intelligence 19 (3), 247-255, 2006 | 145 | 2006 |
A review of machine learning in dynamic scheduling of flexible manufacturing systems P Priore, D De La Fuente, A Gomez, J Puente Ai Edam 15 (3), 251-263, 2001 | 136 | 2001 |
Systemic approach to supply chain management through the viable system model and the theory of constraints J Puche, B Ponte, J Costas, R Pino, D De la Fuente Production planning & control 27 (5), 421-430, 2016 | 127 | 2016 |
Applying Goldratt’s Theory of Constraints to reduce the Bullwhip Effect through agent-based modeling J Costas, B Ponte, D De La Fuente, R Pino, J Puche Expert systems with Applications 42 (4), 2049-2060, 2015 | 126 | 2015 |
Ingenieria de Organizacion en la empresa D De la Fuente García Universidad de Oviedo, 2008 | 100 | 2008 |
Blockchain in FinTech: A mapping study S Fernandez-Vazquez, R Rosillo, D De La Fuente, P Priore Sustainability 11 (22), 6366, 2019 | 90 | 2019 |
Using genetic algorithms to resolve layout problems in facilities where there are aisles A Gomez, I Fernandez Quesada, D De la Fuente International Journal of Production Economics 84 (3), 271-282, 2003 | 79 | 2003 |
The value of lead time reduction and stabilization: a comparison between traditional and collaborative supply chains B Ponte, J Costas, J Puche, R Pino, D de la Fuente Transportation Research Part E: Logistics and Transportation Review 111, 165-185, 2018 | 75 | 2018 |
Optimizing a priority-discipline queueing model using fuzzy set theory MJ Pardo, D De La Fuente Computers & Mathematics with Applications 54 (2), 267-281, 2007 | 60 | 2007 |
Exploring the interaction of inventory policies across the supply chain: An agent-based approach B Ponte, E Sierra, D de la Fuente, J Lozano Computers & Operations Research 78, 335-348, 2017 | 58 | 2017 |
Exploring nonlinear supply chains: the dynamics of capacity constraints B Ponte, X Wang, D de la Fuente, SM Disney International Journal of Production Research 55 (14), 4053-4067, 2017 | 57 | 2017 |
Measuring the efficiency of large pharmaceutical companies: an industry analysis F Gascón, J Lozano, B Ponte, D de la Fuente The European Journal of Health Economics 18, 587-608, 2017 | 52 | 2017 |
The effect of supply chain noise on the financial performance of Kanban and Drum-Buffer-Rope: An agent-based perspective J Puche, J Costas, B Ponte, R Pino, D de la Fuente Expert Systems with Applications 120, 87-102, 2019 | 51 | 2019 |
Genetic algorithms to optimise the time to make stock market investment D de la Fuente, A Garrido, J Laviada, A Gomez Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006 | 47 | 2006 |
Holism versus reductionism in supply chain management: An economic analysis B Ponte, J Costas, J Puche, D De la Fuente, R Pino Decision Support Systems 86, 83-94, 2016 | 42 | 2016 |