Collaborative scheduling of energy-saving spare parts manufacturing and equipment operation strategy using a self-adaptive two-stage memetic algorithm

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成果类型：

期刊论文

作者：

Luo, Qiang;Deng, Qianwang;Zhuang, Huining;Gong, Guiliang;Fan, Qing;...

通讯作者：

Deng, QW

作者机构：

[Luo, Qiang; Zhuang, Huining; Deng, Qianwang; Fan, Qing; Deng, QW; Liu, Xiahui] Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Peoples R China.

[Gong, Guiliang] Cent South Univ Forestry & Technol, Dept Mech & Elect Engn, Changsha 410004, Peoples R China.

[Fan, Qing] Zooml Heavy Ind Sci & Technol Co Ltd, State Key Lab Construction Machinery, Changsha 410013, Peoples R China.

通讯机构：

[Deng, QW ] H

Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Peoples R China.

语种：

英文

关键词：

Energy-saving manufacturing;Flexible job shop;Equipment operation strategy;Memetic algorithm

期刊：

Robotics and Computer-Integrated Manufacturing

ISSN：

0736-5845

年：

2024

卷：

页码：

102707

DOI：

10.1016/j.rcim.2023.102707

基金类别：

CRediT authorship contribution statement Qiang Luo: Conceptualization, Methodology, Software, Formal analysis, Writing – original draft. Qianwang Deng: Project administration, Supervision, acquisition, Resources. Huining Zhuang: Writing – original draft, Methodology, Software. Guiliang Gong: Project administration. Qing Fan: Supervision. Xiahui Liu: Writing – review & editing.

机构署名：

本校为其他机构

院系归属：

机电工程学院

摘要：

Previous studies on production scheduling predominantly focus on developing optimal production plans in the context of deterministic customer requirements, achieving certain optimization goals related to the manufacturer. However, little research has been conducted on scheduling customized spare parts manufacturing on the supply side and equipment operation strategy on the demand side simultaneously. In real-world engineering projects, an efficient collaborative scheduling solution not only helps the manufacturer develop optimal production plans for critical spare parts, but also guides equipm...

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Collaborative scheduling of energy-saving spare parts manufacturing and equipment operation strategy using a self-adaptive two-stage memetic algorithm

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