DocumentCode
620244
Title
Mathematical model and algorithm of optimal resource allocation in the large iron & steel complex
Author
Deng Pan ; Yingping Zheng
Author_Institution
Sch. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China
fYear
2013
fDate
25-27 May 2013
Firstpage
3074
Lastpage
3079
Abstract
The reduction-producing is an important means of energy saving and emission reduction. For this purpose, the augmented vector is used to describe the inputs/outputs of every process in the large iron & steel complex, and then the optimal resource allocation is studied under the conditions of current equipment, technology and the operational level, the mathematical model is constructed to find an optimal resource allocation scheme for every process. The genetic algorithm is used to simulate the resource allocation of the large iron & steel complex, and determine the optimal resource allocation scheme. The taken measures include the reduction of the purchased materials, the full utilization of the recycled materials and the reasonable allocation of the input and output materials of every process. The simulation shows the validity of the mathematical mode and its algorithm. The purpose of energy saving and emission reduction can be achieved to some extent.
Keywords
air pollution; energy conservation; genetic algorithms; purchasing; recycling; resource allocation; steel industry; augmented vector; emission reduction; energy saving; genetic algorithm; iron&steel complex; material recycling; mathematical algorithm; mathematical model; optimal resource allocation scheme; purchased material reduction; reduction-producing; resource allocation simulation; Iron; Materials; Mathematical model; Production; Resource management; Steel; Vectors; Algorithm; Large Iron & Steel Complex; Mathematical Model; Optimal Resource Allocation; Reduction-producing;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location
Guiyang
Print_ISBN
978-1-4673-5533-9
Type
conf
DOI
10.1109/CCDC.2013.6561473
Filename
6561473
Link To Document