Skip to Main Content
Skip Nav Destination
ASME Press Select Proceedings
International Conference on Advanced Computer Theory and Engineering, 5th (ICACTE 2012)
Editor
Xie Yi
Xie Yi
Search for other works by this author on:
ISBN:
9780791860045
No. of Pages:
938
Publisher:
ASME Press
Publication date:
2012

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.

1. Introduction
2. Prediction Method Based on Fractal Theory
3. Forecast Instance
4. Conclusions
Acknowledgment
References
This content is only available via PDF.
You do not currently have access to this chapter.
Close Modal

or Create an Account

Close Modal
Close Modal