DocumentCode :
3480670
Title :
Material balance model and scheduling algorithm of cold rolling production line
Author :
Zhao, Jun ; Wang, Wei ; Tian, Sujie
Author_Institution :
Res. center of Inf. & Control, Dalian Univ. of Technol., Dalian, China
fYear :
2009
fDate :
5-7 Aug. 2009
Firstpage :
1795
Lastpage :
1799
Abstract :
Considering a great number of manufacturing units and a diversity of product categories in cold rolling production line, a total cost objective function is established in this paper which is on the basis of satisfying the demand of customer orders and controlling inventory within a reasonable range. To obtain a better solution, a class of correlative genetic algorithm is used to solve such function. For verifying the effectiveness of the proposed solution, the real practical production data from the cold mill of Shanghai Baosteel Co., Ltd are adopted to simulate during which this proposed model and algorithm shows that the good results can be achieved.
Keywords :
cold rolling; genetic algorithms; production engineering computing; scheduling; cold rolling production line; correlative genetic algorithm; cost objective function; material balance model; scheduling algorithm; Building materials; Continuous production; Costs; Genetic algorithms; Job shop scheduling; Logistics; Milling machines; Production planning; Scheduling algorithm; Steel; cold rolling production; correlative genetic algorithm; material balance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-4794-7
Electronic_ISBN :
978-1-4244-4795-4
Type :
conf
DOI :
10.1109/ICAL.2009.5262675
Filename :
5262675
Link To Document :
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