INTERMITTENT DEMAND FORECASTING USING DATA MINING TECHNIQUES

Gamze Ogcu KAYA; Ali TURKYILMAZ

doi:10.23743/acs-2018-11

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Published: Jun 30, 2018

DOI: https://doi.org/10.23743/acs-2018-11

Issue Vol. 14 No. 2 (2018)

Articles

AN EFFECTIVE METAHEURISTIC FOR TOURIST TRIP PLANNING IN PUBLIC TRANSPORT NETWORKS
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GRAPHICAL REPRESENTATIONS OF MULTITHREADED APPLICATIONS
Damian GIEBAS, Rafał WOJSZCZYK

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INTERMITTENT DEMAND FORECASTING USING DATA MINING TECHNIQUES
Gamze Ogcu KAYA, Ali TURKYILMAZ

38-47
NEURAL CONTROLLER FOR THE SELECTION OF RECYCLED COMPONENTS IN POLYMER-GYPSY MORTARS
Grzegorz KŁOSOWSKI, Tomasz KLEPKA, Agnieszka NOWACKA

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POSSIBILITIES OF RENOVATION FUNCTIONAL SURFACES OF EQUIPMENTS IN THE MECHANICAL ENGINEERING INDUSTRY
Janette BREZINOVÁ, Ján VIŇÁŠ, Dagmar DRAGANOVSKÁ, Anna GUZANOVÁ, Jakub BREZINA

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THE INFLUENCE OF THE INJECTION TIMING ON THE PERFORMANCE OF TWO-STROKE OPPOSED-PISTON DIESEL ENGINE
Paweł KARPIŃSKI

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HIGH SPEED MILLING IN THIN-WALLED AIRCRAFT STRUCTURES
Paweł BAŁON, Edward REJMAN, Robert SMUSZ, Janusz SZOSTAK, Bartłomiej KIEŁBASA

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IDENTIFICATION OF THE MASS INERTIA MOMENT IN AN ELECTROMECHANICAL SYSTEM BASED ON WAVELET–NEURAL METHOD
Marcin TOMCZYK, Barbara BOROWIK, Bohdan BOROWIK

96-111

DOI

https://doi.org/10.23743/acs-2018-11

Authors

Gamze Ogcu KAYA

gamzeogcu@gmail.com

Sampoerna University, Department of Industrial Engineering, Jakarta, Indonesia

Ali TURKYILMAZ

ali.turkyilmaz@nu.edu.kz

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 Forecasting

References

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KAYA, G. O., & TURKYILMAZ, A. (2018). INTERMITTENT DEMAND FORECASTING USING DATA MINING TECHNIQUES. Applied Computer Science, 14(2), 38–47. https://doi.org/10.23743/acs-2018-11

INTERMITTENT DEMAND FORECASTING USING DATA MINING TECHNIQUES

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