Novel approach to energy-efficient flexible job-shop scheduling problems
文献类型：期刊论文
| 作者 | Rakovitis, Nikolaos1; Li, Dan1; Zhang, Nan1; Li, Jie1; Zhang, Liping2; Xiao, Xin3 |
| 刊名 | ENERGY
 |
| 出版日期 | 2022 |
| 卷号 | 238页码:16 |
| 关键词 | Scheduling Mixed-integer programming Flexible job-shops Energy-efficient Unit-specific event-based |
| ISSN号 | 0360-5442 |
| DOI | 10.1016/j.energy.2021.121773 |
| 英文摘要 | In this work, we develop a novel mathematical formulation for the energy-efficient flexible job-shop scheduling problem using the improved unit-specific event-based time representation. The flexible job-shop is represented using the state-task network. It is shown that the proposed model is superior to the existing models with the same or better solutions by up to 13.5 % energy savings in less computational time. Furthermore, it can generate feasible solutions for large-scale instances that the existing models fail to solve. To efficiently solve large-scale problems, a grouping-based decomposition approach is proposed to divide the entire problem into smaller subproblems. It is demonstrated that the proposed decomposition approach can generate good feasible solutions with reduced energy consumption for large-scale examples in significantly less computational time (within 10 min). It can achieve up to 43.1 % less energy consumption in comparison to the existing gene-expression programming-based algorithm. (c) 2021 Elsevier Ltd. All rights reserved. |
| WOS关键词 | MULTIOBJECTIVE OPTIMIZATION ; MATHEMATICAL-MODELS ; SHORT-TERM ; ALGORITHM ; TRANSPORTATION ; OPERATIONS |
| 资助项目 | University of Manchester ; China Scholarship Council-The University of Manchester Joint Scholarship[201908130170] ; National Natural Science Foundation of China[51875420] ; Engineering and Physical Sciences Research Council[EP/T03145X/1] |
| WOS研究方向 | Thermodynamics ; Energy & Fuels |
| 语种 | 英语 |
| WOS记录号 | WOS:000701940800003 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 资助机构 | University of Manchester ; China Scholarship Council-The University of Manchester Joint Scholarship ; National Natural Science Foundation of China ; Engineering and Physical Sciences Research Council |
| 源URL | [http://ir.ipe.ac.cn/handle/122111/50425]  |
| 专题 | 中国科学院过程工程研究所 |
| 通讯作者 | Li, Jie |
| 作者单位 | 1.Univ Manchester, Ctr Proc Integrat, Dept Chem Engn & Analyt Sci, Manchester M13 9PL, Lancs, England 2.Wuhan Univ Sci & Technol, Sch Machinery & Automat, Dept Ind Engn, Wuhan 430081, Hubei, Peoples R China 3.Chinese Acad Sci, Inst Proc Engn, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Rakovitis, Nikolaos,Li, Dan,Zhang, Nan,et al. Novel approach to energy-efficient flexible job-shop scheduling problems[J]. ENERGY,2022,238:16. |
| APA | Rakovitis, Nikolaos,Li, Dan,Zhang, Nan,Li, Jie,Zhang, Liping,&Xiao, Xin.(2022).Novel approach to energy-efficient flexible job-shop scheduling problems.ENERGY,238,16. |
| MLA | Rakovitis, Nikolaos,et al."Novel approach to energy-efficient flexible job-shop scheduling problems".ENERGY 238(2022):16. |
入库方式： OAI收割
来源：过程工程研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。