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An aggregate-disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis., , , , and . JORS, 62 (3): 544-554 (2011)Formation of seasonal groups and application of seasonal indices., , , and . JORS, 65 (2): 227-241 (2014)Feasibility principles for Downstream Demand Inference in supply chains., and . JORS, 62 (3): 474-482 (2011)The impact of temporal aggregation on supply chains with ARMA(1, 1) demand processes., , , and . Eur. J. Oper. Res., 273 (3): 920-932 (2019)Supply chain forecasting: Theory, practice, their gap and the future., , , , and . Eur. J. Oper. Res., 252 (1): 1-26 (2016)Supply chain forecasting when information is not shared., , , and . Eur. J. Oper. Res., 260 (3): 984-994 (2017)Reply to Kostenko and Hyndman., , and . JORS, 57 (10): 1257-1258 (2006)Supply chain forecasting and planning., and . JORS, 62 (3): 411-412 (2011)A robust forecasting system, based on the combination of two simple moving averages., , , and . J. Oper. Res. Soc., 50 (12): 1199-1204 (1999)Operational Research: methods and applications., , , , , , , , , and 72 other author(s). J. Oper. Res. Soc., 75 (3): 423-617 (March 2024)