{"id":111,"date":"2012-12-25T12:55:13","date_gmt":"2012-12-25T11:55:13","guid":{"rendered":"http:\/\/blog.uclm.es\/juanramontrapero\/?page_id=111"},"modified":"2012-12-25T12:55:13","modified_gmt":"2012-12-25T11:55:13","slug":"conferencias-2","status":"publish","type":"page","link":"https:\/\/blog.uclm.es\/juanramontrapero\/conferencias-2\/","title":{"rendered":"Conferences"},"content":{"rendered":"
    \n
  1. “Supply chain demand forecasting under a backordering context”, Trapero, J.R., Babiloni, M.E., Guijarro, E, Pedregal, D.J. (2022), 42th<\/sup> International Symposium on Forecasting, ISF 2022, 10-13 July, Oxford, England.<\/li>\n
  2. “Impact of backordering on the demand forecasting process”, Trapero, J.R., Babiloni, M.E., Guijarro, E, Pedregal, D.J. (2022), 16th<\/sup> International Conference on Industrial Engineering and Industrial Management, ICIEIM 2022, 7-8 July, Toledo, Spain.<\/li>\n
  3. “Demand forecasting under lost-sales stock policies with Tobit Exponential Smoothing” Pedregal, D.J., Trapero, J.R., Holgado, E. 8th<\/sup> International Conference on Time Series and Forecasting, ITISE 2022, 27-30 June, Gran Canaria, Spain.<\/li>\n
  4. “Development of censored ExponenTial Smoothing models for lost-sales demand forecasting”, Pedregal, D.J., Trapero, J.R., Holgado, E. (2022) 42th<\/sup> International Symposium on Forecasting, ISF 2022, 10-13 July, Oxford, England.<\/li>\n
  5. “Demand forecasting under lost-sales stock policies” Juan R. Trapero, Enrique Holgado de Frutos, Diego J. Pedregal. International Symposium on Forecasting 2021 (virtual).<\/li>\n
  6. “A novel forecasting system for medium term solar irradiance” Diego J. Pedregal, Juan R. Trapero. International Symposium on Forecasting 2021 (virtual).<\/li>\n
  7. “The impact of undershoots on determining the fill-rate for a (s,S) system”\u00a0 Ester Guijarro, Mar\u00eda E. Babiloni, N. Kourentzes, Juan R. Trapero. Informs annual meeting 2020.<\/li>\n
  8. “Fast solution to the automatic identification of Unobserved Components models” Diego J. Pedregal, Juan R. Trapero. 13th International Conference on Computational and Financial Econometrics, CFE 2019. London (UK).<\/li>\n
  9. “GPU forecasting for big data problems” Juan R. Trapero, Enrique Holgado, Francisco Ramos, Diego J. Pedregal. ITISE 2019, Granada (Spain)<\/li>\n
  10. “On the automatic identification of Unobserved Components Models” Diego J. Pedregal and Juan R. Trapero. ITISE 2019, Granada (Spain)<\/li>\n
  11. “Economic assessment of methanol production from syngas obtained through co-gasification” M. Puig-Gamero, J.R. Trapero, A. Alcazar-Ruiz, P. S\u00e1nchez, L. S\u00e1nchez-Silva. The 14th. International Conference on Energy for a Clean Evironment, Madeira (Portugal). September 2019.<\/li>\n
  12. “Impact of demand volatility forecasting on inventory systems” Juan R. Trapero, Enrique Holgado, Diego J. Pedregal. ISF 2019, Tesal\u00f3nica (Greece).<\/li>\n
  13. “Automatic Forecasting of Unobserved Components Models with the UComp Toolbox for MATLAB” Diego J. Pedregal, Juan R. Trapero, Marco A. Villegas, Diego Villegas. ISF 2019, Tesal\u00f3nica (Greece).<\/li>\n
  14. “Una propuesta metodol\u00f3gica para el dise\u00f1o de sistemas de gesti\u00f3n de inventarios” Eugenia Babiloni, Ester Guijarro, Jos\u00e9 Miguel Albarrac\u00edn, Juan R. Trapero. CIO 2019, Gij\u00f3n (Spain).<\/li>\n
  15. “Simulaci\u00f3n de cadenas de suministro con din\u00e1mica de sistemas” Juan R. Trapero, Francisco J. Fern\u00e1ndez. II Experiencias docentes en Direcci\u00f3n de Operaciones: Situaci\u00f3n Actual y Propuestas de Futuro, Sevilla 2019, Espa\u00f1a.<\/li>\n
  16. “Time Series modelling with MATLAB: the SSpace toolbox” Diego J. Pedregal, Marco A. Villegas, Diego Villegas, Juan R. Trapero. ITISE 2018, Granada (Spain).<\/li>\n
  17. “Optimasing Forecasting models for inventory planning” N. Kourentzes, D. Barrow, Juan R. Trapero. 20th. International Symposium on Inventories, ISIR 2018, Budapest.<\/li>\n
  18. “Stock control analytics: a new approach to estimate the fill rate for the continuous base-stock policy” E. Babiloni, E. Guijarro, Juan R. Trapero. 12th. International Conference on Industrial Engineering and Industrial Management, CIO 2018, Gerona.<\/li>\n
  19. “Combination of empirical quantile forecasts to determine the safety stock”Juan Ramon Trapero Arenas, Nikolaos Kourentzes, Manuel Card\u00f3s, Ester Guijarro, Eugenia Babiloni. 29th. European Conference on Operational Research, EURO 2018, Valencia.<\/li>\n
  20. “Implementation of exponential smoothing Forecasting method in a GPU for big data problems” Juan Ramon Trapero Arenas, Marco Antonio Villegas Garc\u00eda, Diego Jos\u00e9 Pedregal Tercero. \u00a029th. European Conference on Operational Research, EURO 2018, Valencia.<\/li>\n
  21. “Implementaci\u00f3n de un sistema predictivo en hoja de c\u00e1lculo” Juan R. Trapero, Mercedes Oliet, Juan . Dom\u00ednguez, Francisco J. Fern\u00e1ndez. IV Congreso de Innovaci\u00f3n docente en ingenier\u00eda qu\u00edmica, Santander, 2018.<\/li>\n
  22. \u201cSafety stock calculation based on kernel bandwidth estimates that minimize inventory costs.\u201d Carlos Ru\u00edz Ca\u00f1adas y Juan R. Trapero. International Work-Conference on Time Series Analysis. Granada, 2017.<\/li>\n
  23. \u201cDemand forecasting model selection. A support vector machine approach.\u201d Marco Villegas, Diego Pedregal, Juan R. Trapero. XXI Congreso de Ingenier\u00eda de Organizaci\u00f3n. 11 th. International Conference on Industrial Engineering and Operations Management. Valencia, 2017.<\/li>\n
  24. \u201cA Simulink library for supply chain simulation.\u201d Juan R. Trapero, Ramos F., Holgado de Frutos, E. XXI Congreso de Ingenier\u00eda de Organizaci\u00f3n. 11 th. International Conference on Industrial Engineering and Operations Management. Valencia, 2017.<\/li>\n
  25. “Modelizaci\u00f3n y predicci\u00f3n de series temporales con SSpace.” Diego Pedregal, Marco Villegas, \u00a0Juan R. Trapero. SEIO 2016, Toledo, 2016<\/li>\n
  26. “An\u00e1lisis de t\u00e9cnicas de clasificaci\u00f3n de series temporales en funci\u00f3n de sus componentes no observables.” Juan R. Trapero, Marco Villegas, Cristina Monta\u00f1ola, Diego Pedregal. SEIO 2016, Toledo, 2016<\/li>\n
  27. “Revisiting the safety stock estimation problem. A supply chain risk point of view.” Juan R. Trapero, Manuel Card\u00f3s, Nikolaos Kourentzes. IIF Workshop on Supply Chain Forecasting for Operations, 28 & 29 June 2016, Lancaster, UK.<\/li>\n
  28. “Optimal Combination of volatility forecasts to enhance solar irradiation prediction intervals estimation”, Juan R. Trapero, Alberto Mart\u00edn. ISF 2016, Santander, 2016.<\/span><\/span><\/li>\n
  29. “Measuring Forecasting performance: a complex task”. Nikolaos Kourentzes, Ivan Svetunkov, Juan R. Trapero. ISF 2016, Santander, 2016.<\/li>\n
  30. “Bullwhip effect in promotional sales. New evidence based on time-varying measurements”. Diego J. Pedregal, Juan R. Trapero. EURO 2015, Glasgow, 2015<\/li>\n
  31. “Exponential smoothing parameter estimation for complex seasonal forms: the case solar irradiation forecasting”, Nikolaos Kourentzes, Juan R. Trapero. EURO 2015, Glasgow, 2015.<\/li>\n
  32. “Un an\u00e1lisis econom\u00e9trico de la relaci\u00f3n de sustituci\u00f3n entre el AVE y el transporte a\u00e9reo”, Castillo Manzano, Jos\u00e9 I.; Trapero, J.R.; Del Pozo Barajas, R.\u00a0 XVII Applied Economics Meeting, 2014.<\/li>\n
  33. \u201cSolar irradiation forecasting based on dynamic harmonic regression\u201d, Mart\u00edn, A.; Trapero, J.R.; Kourentzes, N.\u00a0Energy and Environment Knowledge Week, Toledo, 2014<\/li>\n
  34. “Wastewater flow-rate forecasting based on unobserved components model”, Trapero, J.R.; Fern\u00e1ndez, F.J. Energy and Environment Knowledge Week, Toledo, 2014<\/li>\n
  35. “Workshop Design to Improve Students Production Planning Skills in a Chemical Engineering Degree”, Trapero, J.R., Fernandez, F.J., Miranda, R.\u00a0 ICERI, 2014. 7th International Conference of Education, Research and Innovation, Seville, 2014<\/li>\n
  36. \u201cStructural Health Monitoring for Concentrating Solar Power Plants\u201d, G\u00f3mez, C.; Garc\u00eda F.P. and Trapero, J.R. The Eleventh International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Manchester, 2014<\/li>\n
  37. “The use of simulations to improve students understanding of the connections between forecasting and stock control in supply chain management”, Trapero, J.R.,\u00a0Fernandez, F.J. The 6th International Conference on Education and New Learning Technologies. Barcelona, July 2014.<\/li>\n
  38. \u201cExperimental platform design to monitor defects in\u00a0\u00a0 wind turbine blades based on ultrasound technology\u201d, G\u00f3mez, C.; Garc\u00eda F.P. and Trapero, J.R. Energy and Environment Knowledge Week, Toledo, 2013<\/li>\n
  39. \u00a0\u201cMicrobial fuel cells (MFCs) for wastewater\u00a0\u00a0 treatment and energy production. A\u00a0\u00a0 first economic assessment\u201d, Trapero, J.R.; Gonz\u00e1lez, A.; Fern\u00e1ndez,\u00a0\u00a0 F.J.; Horcajada, L.; Ca\u00f1izares, P.; Rodrigo, M.A. and Lobato, J. Energy and Environment Knowledge Week, Toledo, 2013<\/li>\n
  40. \u00a0\u201cRecursive estimation methods to forecast solar irradiance\u201c,<\/b>\u00a0<\/i>Mart\u00edn, A. and Trapero, J.R. Energy and Environment Knowledge Week, Toledo, 2013<\/i><\/li>\n
  41. “Short-term solar irradiance forecasting based on Holt-Winters exponential smoothing”, Trapero, J.R., Mart\u00edn, A., Garc\u00eda, F.P. The XXVI EURO – INFORMS Joint International Conference: “All roads lead to OR”. Rome, July 2013.<\/li>\n
  42. “Improving forecasting by estimating time series components across multiple frequencies”, Kourentzes, N., Petropoulos, Trapero, J.R. \u00a0The 33rd. Annual International Symposium on Forecasting. Seoul, June 2013.<\/li>\n
  43. “T\u00e9cnicas de predicci\u00f3n cuantitativas aplicadas a la cadena de suministro. Un caso de estudio<\/a>“,\u00a0Trapero, J.R., Garc\u00eda, F.P.\u00a0XVII Congreso de Ingenier\u00eda de Organizaci\u00f3n \/ The 7th International Conference on Industrial Engineering and Industrial Management. Valladolid, July 2013.<\/li>\n
  44. “Logistic management in a fresh food firm: A case study”,Garc\u00eda, F.P., Pe\u00f1a, I., \u00a0Trapero, J.R.,\u00a0XVII Congreso de Ingenier\u00eda de Organizaci\u00f3n \/ The 7th International Conference on Industrial Engineering and Industrial Management. Valladolid, July 2013.<\/li>\n
  45. “Impact of demand nature on the bullwhip effect. Bridging the gap between theoretical and empirical research”, Trapero, J.R., Garc\u00eda, F.P., Kourentzes, N. The Seventh International conference on Management Science and Engineering Management. Philadelphia, November 2013.<\/li>\n
  46. “A new ranking method approach for decision making in maintenance management”, Garc\u00eda, F.P., Pliego, A., Lorente, J., Trapero, J.R., , The Seventh International conference on Management Science and Engineering Management. Philadelphia, November 2013.<\/li>\n
  47. “Short-term scheduling to evenly distribute workloads along a semester”, Trapero, J.R., Rodrigo, M.A., Fernandez, F.J. The 5th International Conference on Education and New Learning Technologies. Barcelona, July 2013.<\/li>\n
  48. \u201cOn the identification of sales\u00a0forecasting models in the presence\u00a0of promotions\u201d, Trapero, J.R., Kourentzes, N., Fildes, R. and Pedregal, D.J,. The 32nd. Annual International Symposium on Forecasting. Boston, June 2012.<\/li>\n
  49. \u201cThe power of ECOTOOL MATLAB toolbox\u201d,\u00a0\u00a0Pedregal, D.J.,\u00a0Trapero, J.R., V International Conference on Industrial Engineering and Industrial Management\u00a0. Cartagena, September 2011.<\/li>\n
  50. \u201cSupply chain demand forecasting: towards an integrated approach\u00a0\u00a0\u201d, Trapero, J.R., Pedregal, D.J..\u00a0V International Conference on Industrial Engineering and Industrial Management\u00a0. Cartagena, September 2011.<\/li>\n
  51. \u201cAnalysis of judgmental adjustments in presence of promotions\u00a0\u201d, Trapero, J.R., Pedregal, D.J., \u00a0Fildes, R. and Weller, M. The 31st. Annual International Symposium on Forecasting. Prague, June 2011.<\/li>\n
  52. \u201cImpact of information exchange on a supplier forecasting performance\u201d, Trapero, J.R. and Fildes, R. The 30th. Annual International Symposium on Forecasting. San Diego, June 2010.<\/li>\n
  53. \u201cLoad demand forecasting from one day to several months ahead based on state space models. An empirical evaluation\u201d, Trapero, J.R. The 3rd. International Conference on Industrial Engineering and Industrial Management. Barcelona, September, 2009.<\/li>\n
  54. \u00a0\u201cAnalysis of judgmental adjustments based on state dependent parameter estimation techniques\u201d, Trapero, J.R., Fildes, R., Davydenko, A. The 29th \u00a0Annual International Symposium on Forecasting. Hong Kong, June, 2009.<\/li>\n
  55. \u00a0\u201cOn-line frequency and damping estimation in a single-link flexible manipulator based on algebraic identification\u201d. Trapero, J.R., Mboup, M., Pereira, E., Feliu, V. The 16th Mediterranean Conference on Control and Automation. Corsica, June, 2008.<\/li>\n
  56. \u201cAnalisis del ciclo economico basado en filtros adaptativos de ranura\u201d, Trapero, J.R., Pedregal, D.J., The 1st. International Conference on Industrial Engineering and Industrial Management. Madrid, September, 2007.<\/li>\n
  57. \u00a0\u201cFast identification method to control a flexible manipulator with parameter uncertainties\u201d. Becedas, J., Trapero, J.R., Feliu, V., Sira-Ram\u00edrez, H. The 2007 IEEE International Conference on Robotics and Automation. (ICRA 2007). Roma, April, 2007.<\/li>\n
  58. \u00a0\u201cA fast on-line algebraic estimation of a single-link flexible arm applied to GPI control\u201d. Becedas, J., Trapero, J.R., Mamani, G., Sira-Ram\u00edrez, H., Feliu-Batlle, V. The 32nd. Annual Conference of the IEEE Industrial Electronics Society (IECON 2006). Par\u00eds, November, 2006.<\/li>\n
  59. \u201cFrequency identification in the noisy sum of two sinusoidal signals\u201d. Sira-Ram\u00edrez, H., Trapero, J.R., Feliu, V. The 17th. International Symposium on Mathematical Theory of Networks and Systems (MTNS 2006). Kyoto, July, 2006.<\/li>\n
  60. \u00a0\u201cElectricity markets forecasting based on frequency domain methods\u201d. Pedregal, D.J., Trapero J.R. The 26th International Symposium on Forecasting (ISF 2006). Santander, June, 2006.<\/li>\n
  61. \u00a0“An algebraic approach to fast perturbed sinusoidal signal parameters identification”. Trapero, J.R., Sira-Ram\u00edrez, H., Feliu, V. The 25th. IASTED International Conference on modelling, Identification and Control (MIC 2006). Lanzarote, February, 2006.<\/li>\n
  62. \u201cEstimaci\u00f3n algebraica en l\u00ednea de la frecuencia natural de un robot flexible\u201d Trapero, J.R., Becedas, J., Feliu, V., Sira-Ram\u00edrez, H. XXVII Jornadas de Autom\u00e1tica. Almer\u00eda, Septiembre (2006).<\/li>\n
  63. \u201cM\u00e9todos en el dominio de la frecuencia aplicados a mercados el\u00e9ctricos\u201d Trapero, J.R., Pedregal, D.J. IX Congreso de Ingenier\u00eda de Organizaci\u00f3n. Valencia, Septiembre, 2006.<\/li>\n
  64. “Predicci\u00f3n de precios y demandas de energ\u00eda el\u00e9ctrica basada en modelos de regresi\u00f3n arm\u00f3nica din\u00e1mica”. Trapero, J.R., Pedregal, D.J., Garc\u00eda, F.P. IX Congreso de Ingenier\u00eda de Organizaci\u00f3n. Gij\u00f3n, Septiembre, 2005.<\/li>\n
  65. \u201cLa mejora de la seguridad y fiabilidad del transporte ferroviario mediante RCM2\u201d Garc\u00eda, F.P., Trapero, J.R., Pedregal, D.J. IX Congreso de Ingenier\u00eda de Organizaci\u00f3n. Gij\u00f3n, Septiembre, 2005.<\/li>\n
  66. \u201cIdentificaci\u00f3n del modelo de un brazo de robot flexible de un eslab\u00f3n mediante modelos Box-Jenkins\u201d Trapero, J.R., Pereira, E., Pedregal, D.J., Feliu, V. XVI Jornadas de Autom\u00e1tica. Alicante, Septiembre (2005).<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

    “Supply chain demand forecasting under a backordering context”, Trapero, J.R., Babiloni, M.E., Guijarro, E, Pedregal, D.J. (2022), 42th International Symposium on Forecasting, ISF 2022, 10-13 July, Oxford, England. “Impact of backordering on the demand forecasting process”, Trapero, J.R., Babiloni, M.E., Guijarro, E, Pedregal, D.J. (2022), 16th International Conference on Industrial Engineering and Industrial Management, ICIEIM […]<\/p>\n","protected":false},"author":345,"featured_media":1430,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-111","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/blog.uclm.es\/juanramontrapero\/wp-json\/wp\/v2\/pages\/111","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.uclm.es\/juanramontrapero\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blog.uclm.es\/juanramontrapero\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blog.uclm.es\/juanramontrapero\/wp-json\/wp\/v2\/users\/345"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.uclm.es\/juanramontrapero\/wp-json\/wp\/v2\/comments?post=111"}],"version-history":[{"count":0,"href":"https:\/\/blog.uclm.es\/juanramontrapero\/wp-json\/wp\/v2\/pages\/111\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.uclm.es\/juanramontrapero\/wp-json\/wp\/v2\/media\/1430"}],"wp:attachment":[{"href":"https:\/\/blog.uclm.es\/juanramontrapero\/wp-json\/wp\/v2\/media?parent=111"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}