Two-Stage Mathematical Programming Approach for Steelmaking Process Scheduling Under Variable Electricity Price

The steelmaking process scheduling problem by considering variable electricity price （SMSPVEP） was in- vestigated. A decomposition approach was proposed for the SMSPVEP. At the first stage, mathematical program-ming was utilized to minimize the maximum completion time for each cast without consideri...

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Bibliographic Details
Published in:Journal of iron and steel research, international international, 2013-07, Vol.20 (7), p.1-8
Main Authors: Tan, Yuan-yuan, Huang, Ying-lei, Liu, Shi-xin
Format: Article
Language:English
Subjects:
Applied and Technical Physics
Electricity
Electricity pricing
Engineering
Iron and steel industry
Iron and steel making
Iron and steel plants
Machines
Manufacturing
Materials Engineering
Materials Science
Mathematical models
Mathematical programming
Metallic Materials
Physical Chemistry
Processes
Scheduling
Steels
可变
数学模型
数学程序
数学规划方法
最大完工时间
炼钢过程
电价
调度问题
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Summary:The steelmaking process scheduling problem by considering variable electricity price （SMSPVEP） was in- vestigated. A decomposition approach was proposed for the SMSPVEP. At the first stage, mathematical program-ming was utilized to minimize the maximum completion time for each cast without considering variable electricity price. At the second stage, based on obtained relative schedules of all casts, a mathematical model was formulated with an objective of minimizing the energy cost for all casts scheduling problem. The two-stage models were tested on randomly generated instances based on the practical process in a Chinese steelmaking plant. Computational results demonstrate the effectiveness of the proposed approach.
ISSN:1006-706X
2210-3988
DOI:10.1016/S1006-706X(13)60118-1