运筹与管理 ›› 2022, Vol. 31 ›› Issue (1): 22-29.DOI: 10.12005/orms.2022.0004

• 理论分析与方法探讨 • 上一篇    下一篇

带缓冲串行生产系统预防性维护建模及运行参数优化研究

周宏明1, 高顺1,2, 张祥雷1, 王素芬1, 黄沈权1   

  1. 1.温州大学 机电工程学院,浙江 温州 325035;
    2.浙江安防职业技术学院,浙江 温州 325016
  • 收稿日期:2019-12-02 出版日期:2022-01-25 发布日期:2022-02-11
  • 通讯作者: 张祥雷(1987-),男,博士,副教授,主要研究方向为智能制造系统建模与仿真、金属切削加工。
  • 作者简介:周宏明(1969-),男,博士,教授、博士研究生导师。主要研究方向为制造系统建模与仿真、数字化设计与制造、系统可靠性。高顺(1993-),男,硕士研究生,研究方向为:系统可靠性;王素芬(1992-),女,硕士研究生,研究方向为:系统可靠性;黄沈权(1986-),男,博士,副教授,主要研究方向为智能制造、复杂制造系统建模。
  • 基金资助:
    温州市重大科技创新攻关项目(ZG2021020,2018ZG026);国家自然科学基金资助项目(71271156)

Preventive Maintenance Modeling and Operation Parameter Optimization for Series Production Systems with Intermediate Buffers

ZHOU Hong-ming1, GAO Shun1,2, ZHANG Xiang-lei1, WANG Su-fen1, HUANG Sheng-quan1   

  1. 1. College of Mechanical Engineering, Wenzhou University, Wenzhou 325035, China;
    2. Zhejiang College of Security Technology, Wenzhou 325016, China
  • Received:2019-12-02 Online:2022-01-25 Published:2022-02-11

摘要: 为了保证串行生产系统的产能和提高系统可靠性,提出了带缓冲区的串行生产系统预防性维护决策模型。首先,分析了生产线各执行单元可靠性和运行参数之间的关系,建立了考虑执行单元运行参数和缓冲库存的维护模型。在此基础上,结合串行生产线的特点,建立综合考虑维护成本、有效运行速度和缓冲库存的多目标优化函数。最后,构建启发式算法求解目标函数,并以串行包装生产线为例进行仿真实验分析,结果表明本文所建模型是有效且实用的。

关键词: 预防性维护, 可靠性约束, 运行参数优化, 缓冲库存

Abstract: To ensure the throughput and improve the system reliability, a model for decision-making of preventive maintenance for series systems with buffers is presented. First, by analyzing the relationship between reliability of each execution unit of production line and operating parameters, a maintenance model considering the operating parameters of execution unit and buffer is established. On this basis,integrating the characteristics of series production lines, a multi-objective optimization model considering maintenance cost, effective operating speed and buffer capacity is established. Finally, a heuristic algorithm is constructed to solve the objective function, and the simulation of a serial packaging production line is carried out, and the results show that the presented model is effective and practical.

Key words: Preventive maintenance, reliability constraints, optimization of operating parameters, buffer stock

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