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Unrelated Parallel Machine Scheduling Considering Time-of-use Electricity Machine Consumption Cost

LIANG Peng;HAO Gang;GUO Jian-hua;WU Yu-ting;HE Wa;School of Computer Science, GuangDong Polytechnic Normal University;  
Aiming at hugeous machine warm-up energy consumption and serious waste product switching in aluminium extrusion workshop, we abstract it as a class of unrelated parallel machine scheduling problem with energy and tardiness cost,and an ant optimization algorithm based on product switching energy consumption heuristic rule is presented.Optimal parameters of algorithm are defined via a split-plot design for generating test data.A lot of simulation experiments prove the proposed algorithm decrease energy consumption effectively.
【Fund】: 广东省自然科学基金项目(2015A030310340) 广东省自然科学基金-自由申请(2018A0303130187);; 广东省科技厅协同创新与平台环境建设项目专项(2017A040405058);; 广东省大学生攀登计划(pdjh2017a0292)
【CateGory Index】: TP18;F273
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 HOU Bin(The 713 Research Institute,China Shipbuilding Industry Corporation,Zhengzhou 450015,China);A Study Parallel Machine Scheduling with Consideration of Machines' Power on/off[J];工业工程与管理;2011-02
【Co-citations】
Chinese Journal Full-text Database 4 Hits
1 Tuo Shuqing;Chen Wensi;Luo Mingqiang;Liang Peng;Xing Fa Aluminum Holdings Limited;School of Computer Science, Guang Dong Polytechnic Normal University;;Real-time energy consumption monitoring and warning system for aluminium production[J];电子测试;2015-09
2 LUO Mingqiang;LIANG Peng;Xingfa Aluminum Holdings Limited;School of Electromechanical Engineering,Guangdong University of Technology;;Aluminum Oxide Energy Consumption Computing Method Based on Neural Network[J];电子科技;2015-03
3 TUO Shuqing;LIANG Peng;Xingfa Aluminum Holdings Limited;School of Computer Science,Guangdong Polytechnic Normal University;;Research on Energy Consumption Monitoring and Prediction System[J];电子科技;2015-01
4 LUO Ming-qiang;LIANG Peng;Xingfa Aluminum Holdings Limited;School of Computer Science, Guangdong Polytechnic Normal University;;The Research and Implementation of Energy Consumption Real-time Monitoring and Prediction System[J];电脑知识与技术;2014-28
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