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A multi-objective differential evolution algorithm for parallel batch processing machine scheduling considering electricity consumption cost

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成果类型:
期刊论文
作者:
Zhou, Shengchao;Li, Xiaolin*;Du, Ni;Pang, Yan;Chen, Huaping
通讯作者:
Li, Xiaolin
作者机构:
[Pang, Yan; Zhou, Shengchao] Cent South Univ Forestry & Technol, Sch Logist, Changsha 410004, Hunan, Peoples R China.
[Li, Xiaolin] China Univ Min & Technol, Sch Mines, Xuzhou 221116, Jiangsu, Peoples R China.
[Du, Ni] Hunan Agr Univ, Sch Engn, Changsha 410128, Hunan, Peoples R China.
[Chen, Huaping] Univ Sci & Technol China, Sch Management, Hefei 230026, Anhui, Peoples R China.
通讯机构:
[Li, Xiaolin] C
China Univ Min & Technol, Sch Mines, Xuzhou 221116, Jiangsu, Peoples R China.
语种:
英文
关键词:
Batch processing machines;Differential evolution algorithm;Multi-objective optimization;Sustainable scheduling;Total electricity cost
期刊:
Computers & Operations Research
ISSN:
0305-0548
年:
2018
卷:
96
页码:
55-68
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71401164, 71671168]; Natural Science Foundation of Hunan ProvinceNatural Science Foundation of Hunan Province [2018JJ3891]
机构署名:
本校为其他机构
院系归属:
工学院
摘要:
The manufacturing industry consumes massive amounts of energy and produces great numbers of greenhouse gases every year. Recently, an increasing attention has been paid to the energy efficiency of the manufacturing industry. This paper considers a parallel batch processing machine (BPM) scheduling problem in the presence of dynamic job arrivals and a time-of-use pricing scheme. The objective is to simultaneously minimize makespan, a measure of production efficiency and minimize total electricity cost (TEC), an indicator for environmental sustai...

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