| 预防维护下装配线平衡的集成优化 |
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| 作者姓名： | 蒙凯 唐秋华 张子凯 钱新博 卢辰灏 |
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| 作者单位： | 武汉科技大学生产系统工程研究所;武汉科技大学冶金装备及其控制教育部重点实验室;东风雷诺汽车有限公司设备保全科 |
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| 基金项目： | 国家自然科学基金资助项目(51875421). |
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| 摘 要： | 在装配线生产过程中,当某个工位的设备突发故障时会导致全线停工,带来重大的经济损失,为此本文提出预防维护下的装配线平衡问题,对正常生产和设备维护两种情形下的生产负载进行集成优化。以给定工位数量下正常生产节拍、预防维护时的生产节拍以及两种模式切换时的工序调整数量的最小化为目标建立数学模型,采用遗传算法进行求解。案例分析表明,预防维护下的装配线平衡可有效实现正常生产与设备维护之间的快速切换,保证生产的高效性和稳定性。
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| 关 键 词： | 装配线平衡 预防维护 遗传算法 集成优化 生产节拍 工序调整 |
| 收稿时间： | 2018/7/23 0:00:00 |
Integrated optimization of assembly line balancing under preventive maintenance |
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| Authors: | Meng Kai Tang Qiuhu Zhang Zikai Qian Xinbo and Lu Chenhao |
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| Institution: | Institute of Production System Engineering, Wuhan University of Science and Technology, Wuhan 430081, China;Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China,Institute of Production System Engineering, Wuhan University of Science and Technology, Wuhan 430081, China;Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China,Institute of Production System Engineering, Wuhan University of Science and Technology, Wuhan 430081, China;Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China,Institute of Production System Engineering, Wuhan University of Science and Technology, Wuhan 430081, China;Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China and Equipment Maintenance Department, Dongfeng Renault Automobile Co., Ltd., Wuhan 430056, China |
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| Abstract: | Unexpected equipment failures at a certain station during assembly line production may cause the shutdown of the whole line and significant financial loss. Therefore, this paper presented the problem of assembly line balancing with preventive maintenance measures, aiming at the integrated optimization of workloads in both normal production and equipment maintenance periods. A mathematical model was constructed to minimize the normal cycle time at a given station number, the cycle under preventive maintenance and the amount of process adjustment when switching from one production mode to the other. Then it was solved by using genetic algorithm. Case study shows that the assembly line balancing under preventive maintenance can ensure rapid switching between normal production and equipment maintenance, and maintain high efficiency and stability of assembly line. |
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| Keywords: | assembly line balancing preventive maintenance genetic algorithm integrated optimization production cycle process adjustment |
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