Application of Fractal Theory in Supply Chain Requirements Forecast

Abstract:

Accurate forecast of demand is an important prerequisite to raise supply chain performance. In this paper, the author proposes a forecasting model of supply chain demand basing on the fractal theory. In this model, the historical temporal series is transformed into cumulative sum series to fit the total fractal distribution and the method of Equal-length and Changeable-dimension using Compensating Figure is introduced in to improve the accuracy of long-term forecasts. Analysis the real data of a certain supply chain and the numerical study proves the validity of the prediction model.

• Periodical: Applied Mechanics and Materials (Volumes 668-669)
• Pages: 1591-1596
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.668-669.1591
• Online since: October 2014
• Authors: He Xu, Zhao Ming
• Keywords: Forecast, Fractal Theory, Supply Chain Requirements

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