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Petropoulos, Fotios (2015)
Publisher: International Institute of Forecasters
Languages: English
Types: Article
Subjects: HB
Forecasting Support Systems (FSSs) are designed to facilitate the performance of the organization’s\ud forecasters and planners. An FSS always includes a set of statistical methods but also can provide\ud (a) support for management judgment and adjustments (b) procedures for storing, retrieving and\ud presenting information and (c) an intuitive user interface.\ud In this article, Fotios Petropoulos, Foresight’s FSS Editor, offers new ideas on how current FSSs\ud can be improved. He sees three dimensions to the improvement strategy: (i) technological, through\ud open-source software and web-based features, (ii) methodological, in the adoption of state-of-theart\ud methods and (iii) judgmental, supporting interaction between statistical output and managerial\ud judgment.
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    • Asimakopoulos, S., Boretos, G., Mourlas, C., 2014. Forecasting “in the pocket”: mobile devices can improve collaboration. Foresight 32 (Winter 2014), 13-18.
    • Assimakopoulos, V., Nikolopoulos, K., 2000. The Theta model: a decomposition approach to forecasting. International Journal of Forecasting 16 (4), 521-530.
    • Boylan, J., Goodwin, P., Mohammadipour, M., Syntetos, A., 2015. Reproducibility in forecasting research. International Journal of Forecasting 31, 79-90.
    • Fildes, R., Goodwin, P., Lawrence, M., 2006. The design features of forecasting support systems and their effectiveness. Decision Support Systems 42 (1), 351-361.
    • Hyndman, R., Athanasopoulos, G., 2014. Optimally reconciling forecasts in a hierarchy. Foresight 35 (Fall 2014), 42-48.
    • Kolassa, S., Hyndman, R. J., 2010. Free open-source forecasting using R. Foresight 17 (Spring 2010), 19-24.
    • McCullough, B., 2000. Is it safe to assume that software is accurate? International Journal of Forecasting 16, 349-357.
    • Mohammadipour, M., Boylan, J., Syntetos, A., 2012. The application of product-group seasonal indexes to individual products. Foresight 26 (Summer 2012), 18-24.
    • Ord, J. K., Fildes, R., 2012. Principles of Business Forecasting. South-Western Cengage Learning, Mason, Ohio.
    • Petropoulos, F., Kourentzes, N., 2014. Improving forecasting via multiple temporal aggregation. Foresight 34 (Summer 2014), 12-17.
    • Petropoulos, F., Kourentzes, N., Nikolopoulos, K., 2015. DIY forecasting: judgment, models and judgmental model selection. 27th European Conference on Operational Research (EURO).
    • Skiada, F., Raptis, A., Petropoulos, F., Assimakopoulos, V., 2013. A forecasting support system for mobile devices. 26th European Conference on Operational Research (EURO).
    • Spithourakis, G., Petropoulos, F., Nikolopoulos, K., Assimakopoulos, V., 2015. Amplifying the learning effects via a forecasting and foresight support system. International Journal of Forecasting 31, 20-32.
    • Syntetos, A., 2014. Forecasting by temporal aggregation. Foresight 34 (Summer 2014), 6-11.
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