INTERMITTENT DEMAND FORECASTING USING DATA MINING TECHNIQUES
Gamze Ogcu KAYA
gamzeogcu@gmail.comSampoerna University, Department of Industrial Engineering, Jakarta (Indonesia)
Ali TURKYILMAZ
Nazarbayev University, School of Engineering, Astana (Kazakhstan)
Abstract
Intermittent demand occurs randomly with changing values and a lot of periods having zero demand. Ad hoc intermittent demand forecasting techniques have been developed which take special intermittent demand characteristics into account. Besides traditional techniques and specialized methods, data mining offers a better alternative for intermittent demand forecasting since data mining methods are powerful techniques. This study contributes to the current literature by showing the benefit of using data mining methods for intermittent demand forecasting purpose by comprising mostly used data mining methods.
Keywords:
ANN, support vector regressions, Intermittent Demand ForecastingReferences
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Authors
Gamze Ogcu KAYAgamzeogcu@gmail.com
Sampoerna University, Department of Industrial Engineering, Jakarta Indonesia
Authors
Ali TURKYILMAZNazarbayev University, School of Engineering, Astana Kazakhstan
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