DocumentCode
3050957
Title
Two different machine assignment methods for steelmaking and continuous casting
Author
Sun, Jinfei ; Wang, Xiuying
Author_Institution
Coll. of Inf. Sci. & Technol., Qingdao Univ. of Sci. & Technol., Qingdao, China
fYear
2011
fDate
26-28 July 2011
Firstpage
6638
Lastpage
6643
Abstract
Scheduling difficulties and parallel machine alternative characteristics are centred upon machine assignment problems in steelmaking and continuous casting (SCC) scheduling process. Two different machine assignment methods: dynamic programming and rule-based, are proposed so as to select the better machines for furnace charges. The mathematical models of machine assignment are built up based on the two methods, two rough schedules are formed by solving above two models. Two feasible schedules are produced by using the same conflict elimination mathematical model for machines conflict possible in the rough schedules, and comprehensive evaluation index are established. The both methods are simulated using actual production data from a large steel plant. The two experimental results are evaluated by comprehensive evaluation index. The applicable condition and disadvantages of the both methods are gave through comparing to the simulation results. Powerful support is provided to select rational machine assignment methods for further application in engineering.
Keywords
casting; dynamic programming; single machine scheduling; steel manufacture; comprehensive evaluation index; continuous casting scheduling process; dynamic programming; machine assignment methods; mathematical models; parallel machine alternative characteristics; rough scheduling; rule-based method; steel plants; steelmaking; Casting; Dynamic programming; Furnaces; Refining; Schedules; Steel; comprehensive evaluation index; dynamic programming; machine assignment; rules; steelmaking and continuous casting;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-61284-771-9
Type
conf
DOI
10.1109/ICMT.2011.6003116
Filename
6003116
Link To Document