工业工程 ›› 2023, Vol. 26 ›› Issue (6): 155-164.doi: 10.3969/j.issn.1007-7375.2023.06.017

• 系统建模与优化算法 • 上一篇    

考虑机器人故障的生产线工位冗余设计

张于贤, 盛铁锋, 钟素红, 周梦婷, 岳芳   

  1. 桂林电子科技大学 商学院,广西 桂林 541004
  • 收稿日期:2022-11-04 发布日期:2024-01-09
  • 作者简介:张于贤(1963-),重庆市人,教授,博士,主要研究方向为工业工程、管理科学与工程等
  • 基金资助:
    国家自然科学基金青年科学基金资助项目 (72001054);广西学位与研究生教育改革与发展专项课题资助项目 (JGY2019088);广西自然科学基金联合资助项目 (2018GXNSFAA138046);广西研究生教育创新计划资助项目;桂林电子科技大学研究生科研创新资助项目 (2021YCXS092,2021YCXS096)

Workstation Redundancy Designing of Production Lines Considering Robot Failures

ZHANG Yuxian, SHENG Tiefeng, ZHONG Suhong, ZHOU Mengting, YUE Fang   

  1. Business School, Guilin University of Electronic Technology, Guilin 541004, China
  • Received:2022-11-04 Published:2024-01-09

摘要: 基于可靠性冗余设计原理及概率论相关理论,在考虑工业机器人故障的情况下,探究生产线各工位并行作业机器人数量与备份机器人配置数量之间的关系,得到工业机器人工位作业时间计算公式。在此基础上,基于装配线平衡理论,将各工位并行作业机器人和备份机器人数量作为决策变量,构建满足预设产能要求下,以最优化工业机器人投入成本和生产线平衡率为目标的简单作业机器人生产线各工位工业机器人最优数量配置模型,并运用遗传算法对实际案例模型进行求解。改善后,按考虑故障的标准作业时间t在工位设置并行作业机器人,平衡率由89%提升至97.21%,生产线设计成本下降了9%。

关键词: 故障因素, 工位作业时间, 冗余设计, 工业机器人数量配置

Abstract: The determination of the number of industrial robots at each workstation of a production line is the basis for promoting manufacturing intelligence. Based on the principle of reliable redundancy design and the probability theory, this paper first investigates the relationship between the number of parallel operating robots and the number of configured backup robots at each workstation of a production line considering industrial robot failures to obtain a formula for calculating the operating time of industrial robot workstations. On this basis, based on the theory of assembly line balance, the number of parallel operating robots and backup robots at each workstation are regarded as decision variables to establish an optimal quantity configuration model for industrial robots at each workstation of a simple operating robot production line with the objective of minimizing the investment cost of industrial robots and maximizing the balance rate of the production line, under the preset capacity requirements. Genetic algorithm is applied to solve the model in an actual case. After optimization, the balance rate of parallel robots at workstations is increased from 89% to 97.21%, while the design cost of a production line is reduced by 9% according to the standard operation time t considering robot failures.

Key words: failure factors, workstation operation time, redundancy designing, industrial robot quantity configuration

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