Affiliation:
1. University of Science and Technology Beijing
Abstract
With consideration of three important product types, cold trip, hot strip, and slab, this paper concentrates on the integrated surplus products matching problem (ISPMP) in iron and steel enterprises. A mathematical model is built to maximize satisfied demand and the amount of fulfilled orders while minimizing total involved cost. A PSO based algorithm is proposed into which a neighborhood search procedure is embedded to speed up the convergence. The computational tests show that the hybrid algorithm has good performance.
Publisher
Trans Tech Publications, Ltd.
Reference11 articles.
1. Vasko F J, Cregger M L, Stott K L, Woodyatt L R. Computers and Industrial Engineering, vol. 26, no. 4, 1994, pp.794-800.
2. Kalagnanam J, Dawande M W, Trumbo M, et al. Operation Research, vol. 48, no. 4, 2000, pp.505-516.
3. S. Sun, Y. Xiao, and T. Li. Journal of University of Science and Technology Beijing, vol. 30, no. 6, 2008, pp.680-684 (in Chinese).
4. Z. Tian, L. Tang, Y. Ren et al. Acta Automatica Sinica. vol. 35, no. 2, 2009, pp.186-192.
5. M. Dawande, J. Kalagnanam, and H. S. Lee. Interface, vol. 34, no. 3, 2004, pp.215-225.