Grey relational analysis and forecast of demand for scrap steel

Journal of Grey System

Volumn 22, Issue 1, 2010, Pages 73-80

  Xiao, Xinping ^a   Wen, Jianghui ^a   Xie, Ming ^a  

^a WUHAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

GM(1,1) power model; Grey relational analysis; Particle swarm optimization algorithm; Scrap steel

Indexed keywords

EID: 77951728180     PISSN: 09573720     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

1. Stock J. R. (1992). Reverse Logistics [M]. Oak Brook IL: Council of Logistics Management.
2. Fleischmann. M., Krille, H. R. Dekker, R., Flapper. D. P. (2000). A Characterization of Logistics Networks for Product Recovery. Qmega 28, 653-666.
3. Jayaraman, V. Patterson. R. A.. Rolland, E. (2003). The design of reverse distribution networks: Models and solution procedures. European Journal of Operational Research, 150 (1). 128-149.
4. Ma Zujun. Dai Ying (2005). Optimization mode for reverse logistics network design for product recovery. Journal of Industrial Engineering Management, 9(4), 114-117.
5. Zhao Yi. Yi Chuanzhong. Pu Yun (2005). Location model for multi-level returned logistics and its algorithm. Journal of Southeast Jiaotong University, 40(4), 530-534.
6. Di Weimin (2008). Optimal design research for returned logistics network based on two-stagestochastic programming. Control and Decision. 23(1), 35-40.
7. Deng Julong (2002). The Elements on Grey Theory. Wuhan. HUST Press.
8. Xiao Xinping. Song Zhongmin, Li Feng (2005). The Basic and Application of the Grey Technology. Beijing, Science Press.
9. Dai Wenzhan (2004). Grey verhulst forward neural network model and its application [C]. Proceedings of the 5" World Congress on Intelligent Control and Automation. 204-206.
10. Zhengxin Wang. Yaoguo Dang. Yemei Wang (2007). A new grey verhulst model and its application [C]. Proceeding of 2007 IEEE international Conference on Grey Systems and Intelligent Services. 571-574.
11. Li Junliang, Xiao Xinping (2008). GM(1,1) power model based on particle swarm optimization algorithm. Computer Engineering and Application, 44(32). 15-18.