Intermittent demand forecast: Robustness assessment for group method of data handling

Mishra, P, Yuan, X, Huang, G and Truong Ton, H 2014, 'Intermittent demand forecast: Robustness assessment for group method of data handling', in Proceedings of the 4th International Conference on Industrial Engineering and Operations Management (IEOM 2014), Bali, Indonesia, 7-9 January 2014, pp. 338-347.


Document type: Conference Paper
Collection: Conference Papers

Title Intermittent demand forecast: Robustness assessment for group method of data handling
Author(s) Mishra, P
Yuan, X
Huang, G
Truong Ton, H
Year 2014
Conference name IEOM 2014
Conference location Bali, Indonesia
Conference dates 7-9 January 2014
Proceedings title Proceedings of the 4th International Conference on Industrial Engineering and Operations Management (IEOM 2014)
Publisher IEOM Society
Place of publication Indonesia
Start page 338
End page 347
Total pages 10
Abstract Demand forecasting is a key ingredient of supply chain process and plays an important role in synchronized planning and reduced bullwhip effect. Intermittent demand forecasting is a special case of demand forecasting when there are several periods of zero and uneven demand for a product in historical time. Developing a model to forecast intermittent demand has been a challenge, and models of various vintages have been proposed. In this paper, we develop a model for intermittent demand forecasting invoking the Group Method of Data Handling (GMDH) and perform a comparative evaluation of the robustness of this model in comparison to classical models in vogue.
Subjects Logistics and Supply Chain Management
Keyword(s) Intermittent Demand Forecasting
Moving Average
Exponential Smoothing
GMDH
Copyright notice Copyright © (2014) by Industrial Engineering & Operations Management Society (IEOM) All rights reserved.
ISBN 9781632668462
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