DocumentCode :
390864
Title :
Scheduling to minimize the maximum lateness with multiple product classes in batch processing
Author :
Wang, Shufeng ; Zou, Yiren
Author_Institution :
Inst. of Autom., Chinese Acad. of Sci., Beijing, China
Volume :
3
fYear :
2002
fDate :
28-31 Oct. 2002
Firstpage :
1595
Abstract :
In view of the properties of multi-product batch scheduling problem with major and minor setup times that a practical steel pipe plant of iron and steel industry usually has, a 0-1 mixed integer-programming model to the problem is developed with minimizing the job maximum lateness (Lmax) as the optimal objective function. A tabu search-based heuristic (TSH) algorithm is proposed by analyzing the optimal properties of the problem. The simulation results have confirmed its feasibility and effectiveness.
Keywords :
batch processing (industrial); production control; search problems; steel industry; 0-1 mixed integer-programming model; batch processing; batch scheduling problem; iron industry; multiple product classes; simulation results; steel industry; steel pipe plant; tabu search-based heuristic algorithm; Algorithm design and analysis; Automation; Group technology; Iron; Job shop scheduling; Manufacturing processes; Metals industry; Productivity; Steel; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
Type :
conf
DOI :
10.1109/TENCON.2002.1182636
Filename :
1182636
Link To Document :
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