Revistas internacionales

  1. Juan R. Trapero, Manuel Cardós, Nikolaos Kourentzes, (2019) “Empirical safety stock estimation based on Kernel and GARCH models“, OMEGA, The International Journal of Management Volume 84, pp. 199-211.
  2. Juan R. Trapero, Manuel Cardós, Nikolaos Kourentzes, (2019) “Quantile forecast optimal combination to enhance safety stock estimation“, International Journal of Forecasting, Volume 35, pp. 239-250
  3. Villegas, MA and Pedregal, DJ (2019), Automatic selection of Unobserved Components models for supply chain forecasting, International Journal of Forecasting, Volume 35, Issue 1, pp. 157-169.
  4. Babiloni, E., & Guijarro, E. (2018). Fill rate: from its definition to its calculation for the continuous (s, Q) inventory system with discrete demands and lost sales. Central European Journal of Operations Research, 1-9.
  5. Villegas, MA and Pedregal, DJ (2018), Supply chain decision support systems based on a novel hierarchical forecasting approach, Decision Support Systems, Volume 114, pp. 29-36.
  6. Marco A. Villegas, Diego J. Pedregal, Juan R. Trapero,  (2018) “A support vector machine for model selection. A demand forecasting case study“, Computers & Industrial Engineering, Volume 121, pp. 1-7
  7. Villegas, M.A., Pedregal, D.J. (2018). “SSpace: A toolbox for State Space modelling”, Journal of Statistical Software. Volume 87, Issue 5
  8. Cardós, M., Guijarro, E., Babiloni, E. (2017). “On the estimation of on-hand stocks for base-stock policies and lost sales systems and its impact on service measures“, International Journal of Production Research. DOI: 10.1080/00207543.2017.1279759
  9. Trapero, J.R., Pedregal, D.J.  (2016). “A novel time-varying bullwhip effect metric. An application to promotional sales“, International Journal of Production Economics, Volume 182, pp.  465-471. DOI:
  10. Trapero, J.R. (2016). “Calculation of solar irradiation prediction intervals combining volatility and kernel density estimates “, Energy, Volume 114, pp. 266-274