Two-Stage Mathematical Programming Approach for Steelmaking Process Scheduling Under Variable Electricity Price
查看参考文献12篇
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文摘
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The steelmaking process scheduling problem by considering variable electricity price (SMSPVEP) was investigated. A decomposition approach was proposed for the SMSPVEP. At the first stage, mathematical programming 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. |
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来源
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Journal of Iron and Steel Research
, International,2013,20(7):1-8 【核心库】
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DOI
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10.1016/s1006-706x(13)60118-1
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关键词
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steelmaking process
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scheduling
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variable electricity price
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mathematical programming
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地址
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1.
College of Information Science and Engineering, Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Liaoning, Shenyang, 110819
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Enterprise Solution Business Group, Shanghai Baosight Software Limited Company, Shanghai, 201900
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语种
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英文 |
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文献类型
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研究性论文 |
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ISSN
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1006-706X |
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学科
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冶金工业 |
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基金
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国家自然科学基金
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Fundamental Research Funds for Central Universities of China
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文献收藏号
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CSCD:4895125
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