All Stories

  1. Applying machine learning to the dynamic selection of replenishment policies in fast-changing supply chain environments

    Article • International Journal of Production Research, December 2018, Taylor & Francis

    Dr Paolo Priore

  2. Solving multi-objective rescheduling problems in dynamic permutation flow shop environments with disruptions

    Article • International Journal of Production Research, May 2018, Taylor & Francis

    Dr Paolo Priore

  3. Real-Time Scheduling of Flexible Manufacturing Systems Using Support Vector Machines and Case-Based Reasoning

    Article • Journal of Economics Business and Management, January 2015, EJournal Publishing

    Dr Paolo Priore

  4. Dynamic scheduling of manufacturing systems using machine learning: An updated review

    Article • Artificial intelligence for engineering design analysis and manufacturing, January 2014, Cambridge University Press

    Dr Paolo Priore

  5. Multiagent system for intelligent Water Demand Management

    Article • December 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Paolo Priore

  6. Zoning by k-Means over a Large Data Set

    Article • November 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Paolo Priore

  7. Heuristic Analysis Influence on the Solution of the Vehicle Routing Problem by Means of an Iterated Local Search

    Article • October 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Paolo Priore

  8. Supplier selection model for commodities procurement. Optimised assessment using a fuzzy decision support system

    Article • Applied Soft Computing, April 2013, Elsevier

    Dr Paolo Priore, Javier Puente

  9. Application of Genetic Algorithms to Container Loading Optimization

    Article • International Journal of Trade Economics and Finance, January 2013, EJournal Publishing

    Dr Paolo Priore

  10. Supply chain modelling using a multi‐agent system

    Article • Journal of Advances in Management Research, October 2010, Emerald

    Dr Paolo Priore

  11. LEARNING-BASED SCHEDULING OF FLEXIBLE MANUFACTURING SYSTEMS USING SUPPORT VECTOR MACHINES

    Article • Applied Artificial Intelligence, March 2010, Taylor & Francis

    Dr Paolo Priore

  12. Medical doctor rostering problem in a hospital emergency department by means of genetic algorithms

    Article • Computers & Industrial Engineering, May 2009, Elsevier

    Dr Paolo Priore

  13. Implementation of the subject 'Operations Management' on the University of Oviedo's virtual education tool 'Virtual Campus'

    Article • International Journal of Teaching and Case Studies, January 2009, Inderscience Publishers

    Dr Paolo Priore

  14. Forecasting next-day price of electricity in the Spanish energy market using artificial neural networks

    Article • Engineering Applications of Artificial Intelligence, February 2008, Elsevier

    Dr Paolo Priore

  15. RFID en la gestión y mantenimiento de bibliotecas

    Article • El Profesional de la información, January 2007, EPI SCP (El Profesional de la Informacion)

    Dr Paolo Priore

  16. A comparison of machine-learning algorithms for dynamic scheduling of flexible manufacturing systems

    Article • Engineering Applications of Artificial Intelligence, April 2006, Elsevier

    Dr Paolo Priore

  17. Heuristic to optimize L-guillotine cutting operations

    Article • Artificial intelligence for engineering design analysis and manufacturing, February 2005, Cambridge University Press

    Dr Paolo Priore

  18. Dynamic scheduling of flexible manufacturing systems using neural networks and inductive learning

    Article • Integrated Manufacturing Systems, March 2003, Emerald

    Dr Paolo Priore

  19. A decision support system for applying failure mode and effects analysis

    Article • International Journal of Quality & Reliability Management, March 2002, Emerald

    Dr Paolo Priore

  20. DYNAMIC SCHEDULING OF MANUFACTURING SYSTEMS WITH MACHINE LEARNING

    Article • International Journal of Foundations of Computer Science, December 2001, World Scientific Pub Co Pte Lt

    Dr Paolo Priore

  21. A review of machine learning in dynamic scheduling of flexible manufacturing systems

    Article • Artificial intelligence for engineering design analysis and manufacturing, June 2001, Cambridge University Press

    Dr Paolo Priore