Improving the performance of popular supply chain forecasting techniques

Spithourakis, Giorgos and Petropoulos, Fotios and Babai, Mohamed and Nikolopoulos, Konstantinos and Assimakopoulos, V (2011) Improving the performance of popular supply chain forecasting techniques. Supply Chain Forum: An International Journal, 12 (4). pp. 16-25. ISSN 1625-8312

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Abstract

This paper empirically investigates the extension of the use of an aggregation-disaggregation forecasting approach for intermittent demand (ADIDA) to fast moving demand data, addressing the need of supply chain managers for accurate forecasts. After a brief introduction to the framework and its background, an experiment is set up to examine its performance on data from the M3-Competition. The relevant forecasting methodology and in-sample optimization techniques are described in detail, as well as the core experimental structure and real data. Empirical results of forecasting accuracy performance are presented and discussed, placing further emphasis on the managerial implications of the framework’s being a simple, cost-efficient and universally implementable forecasting method self-improving mechanism. Finally, all conclusions are summarized and guidelines for prospective research are proposed.

Item Type:
Journal Article
Journal or Publication Title:
Supply Chain Forum: An International Journal
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1400/1405
Subjects:
ID Code:
58335
Deposited By:
Deposited On:
19 Sep 2012 08:08
Refereed?:
Yes
Published?:
Published
Last Modified:
24 Apr 2020 02:13