DocumentCode :
3455526
Title :
Supply Chain Safety Stock Quantity´s Fractal Forecast and Study
Author :
Wang, Jianzhou ; Wang, Yuanyuan ; Sun, Donghuai ; Lu, Haiyan
Author_Institution :
Sch. of Math. & Stat., Lanzhou Univ., Lanzhou
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
4
Abstract :
Safety stock, a very important composing of the stock management, which is significant for reducing the cost and increasing interests for an enterprise, is the base of the setting of enterprise´s stocks, so it is crucial for stock management to presume a rational and exact SS. In this paper, introducing fractal theory, a new method based on the fractal collage theorem and the iterative process of fractal interpolation functions was proposed to forecast the safety stock. Based on the fractal collage theorem, it uses the iterated function system whose attractor is close to the historical data to establish the fractional function, and set the forecasting model proposed according to the iterative process of fractional function. Then by an example the rationality and reliability of this method is verified, and the result show that it is helpful indeed to set the reasonable safety stock for enterprise.
Keywords :
stock control; supply chain management; supply chains; fractal collage theorem; fractal forecast; fractal interpolation functions; stock management; supply chain safety stock quantity; Costs; Feedforward neural networks; Fractals; Mathematics; Multi-layer neural network; Neural networks; Raw materials; Safety; Supply chain management; Supply chains;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.1641
Filename :
4679549
Link To Document :
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