Joint optimization of production and maintenance for system considering quality losses under imperfect maintenance

被引：0
|
作者：
Liang X. [1 ]
Lu Z. [1 ]
机构：
[1] School of Mechanical and Energy Engineering, Tongji University, Shanghai
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2024年 / 30卷 / 01期
关键词：
condition-based maintenance; flower pollination algorithm; imperfect maintenance; quality; serial production system;
D O I：
10.13196/j.cims.2022.0993
中图分类号：
学科分类号：
摘要：
Aiming at the problem of quality losses in a serial production system considering equipment deterioration, Wiener process was used to model equipment deterioration ? the strategy of imperfect maintenance and replacement based on real-time product quality information was proposed by considering the comprehensive influence of equipment imperfect maintenance on the residual degradation level and residual degradation rate, which was optimized in conjunction with the production plan, and the mathematical model of minimizing the total cost was established. The Monte Carlo simulation was used to sample the total cost and a flower pollination algorithm with optimized conversion probability was used to solve the model. Numerical experiments showed that the condition-based maintenance strategy using real-time quality information had a lower total cost than other three types of comparison strategies ? with an average optimization ratio of 9.61% under high production load system and 10.71 % under low production load system. © 2024 CIMS. All rights reserved.
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页码：196 / 204
页数：8
相关论文
共 23 条
  • [1] WANG Yaonan, CHEN Tiejian, HE Zhendong, Et al., Review on the machine vision measurement and control technology for intelligent manufacturing equipment CJ J, Control Theory and Applications, 32, 3, pp. 273-286, (2015)
  • [2] NOURELFATHM, NAHASN, BEN - DAYAM, Integrated preventive maintenance and production decisions for imperfect processes, Reliability Engineering &■ System Safety, 148, pp. 21-31, (2016)
  • [3] BOUSLAHB, GHARBIA, PELLERINR, Integrated production, sampling quality control and maintenance o£ deteriorating production systems with AOQL constraint[j], Omega, 61, pp. 110-126, (2016)
  • [4] MEHDIR, NIDHALR, ANISC, Integrated maintenance and control policy based on quality control [J], Computers & Industrial Engineering, 58, 3, pp. 443-451, (2010)
  • [5] Guoqing C H E N G, Binghai Z H O U, Ling LI, Joint optimization o£ production., quality control and condition-based maintenance for imperfect system[J], Computer Integrated Manufacturing Systems, Z5, 7, pp. 16Z0-1629, (2019)
  • [6] Quality and reliability oriented maintenance for multistage manufacturing systems subject to condition monitoring [J], Journal o£ Manufacturing Systems, 52, pp. 76-85, (2019)
  • [7] Zhihong L U, Xiaojun Z H O U, Maintenance modeling on integration o£ quality and reliability for serial systems with variable working conditions [J], Computer Integrated Manufacturing Systems, 28, 4, pp. 1030-1041
  • [8] Biao L U, Wenxiang N I U, Integrated modeling and optimization. o£ production and maintenance for manufacturing systems with quality deterioration EJ/OLj, Industrial Engineering and Management ：1-17 C2022-08-13]
  • [9] LU Zhiqiang, ZHANG Zhilei, Joint optimization of on-line decision-making for maintenance and buffer allocation for serial production systemHJ, Journal of Tongji University： Natural Science, 49, 3, pp. 431-439, (2021)
  • [10] DEEPAMG PABLAB, Condition based maintenance of m a chine tools- A review HJ], CIRP Journal of Manufacturing Science and Technology, 10, pp. 24-35, (2015)
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