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
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