Title :
Production strategies research of Specific Reheating Furnaces Mode using decision tree algorithm in computer simulation
Author :
Liang, Helan ; Li, Sujian ; Hu, Bo ; Yao, Liping
Author_Institution :
Dept. of Logistics Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
Abstract :
It is not easy to find effective production strategies of specific reheating furnaces mode (SRF) by experiments or simulation methods due to the complexity in interrelations between production cells of SRF. In this paper, therefore, a decision tree based method to analyze the output of simulation model is proposed for production strategies mining of SRF. Firstly, an improved simulation model of SRF is proposed to obtain the training samples. Secondly, decision rules are mined out by means of decision tree algorithm using the acquired samples. Finally, production strategies of SRF are determined after decision rules analysis. Decision tree is a novel method for production strategies research of SRF. The results show that the method can make the analysis more simple and interpretable, and mine out valuable rules which are not easy to be found.
Keywords :
decision trees; digital simulation; furnaces; heating; production engineering computing; computer simulation; decision tree algorithm; production strategies; specific reheating furnaces mode; Analytical models; Computational modeling; Computer simulation; Decision trees; Furnaces; Iron; Logistics; Production; Slabs; Temperature; Decision tree; Logistics; Reheating furnaces; Simulation; Specific Reheating Furnaces Mode;
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
DOI :
10.1109/ICIEA.2009.5138293
