- Enrique Holgado, Juan R. Trapero, Francisco Ramos, (2020) «A literature review on operational decisions applied to collaborative supply chains«, PLOS ONE, 15(3):e0230152. https://doi.org/10.1371/journal.pone.0230152
- Nikolaos Kourentzes, Juan R. Trapero, Devon K. Barrow, (2020) «Optimising forecasting models for inventory planning«, International Journal of Production Economics, (In press)
- 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.
- 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
- 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.
- 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.
- 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.
- 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
- Villegas, M.A., Pedregal, D.J. (2018). “SSpace: A toolbox for State Space modelling”, Journal of Statistical Software. Volume 87, Issue 5
- 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
- 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: http://dx.doi.org/10.1016/j.ijpe.2016.10.004
Proyecto de investigación del MINECO bajo el programa RETOS: Economía y Sociedad Digital. Referencia: DPI2015-64133-R