摘要
针对混流装配线运行中人体负荷影响操作者的状态以及生产效率问题,建立了基于人因约束的多目标平衡模型.考虑了操作者的疲劳和恢复对装配任务分配的影响,以总循环时间最小化等为目标,采用遗传算法进行求解.结果表明,考虑人因约束条件,能够通过合理利用每个工作站的空闲时间来缓解操作者的疲劳,保证装配线平衡的同时可以有效降低人体负荷过度造成的人因风险.
A multi-objective equilibrium model based on human factor constraint is established to solve the problem that human body load affects the operator’s state and production efficiency in the operation of mixed flow assembly line.Considering the effects of operators’fatigue and recovery process on assembly task assignment,the model aims to minimize cycle time and other objectives.Genetic algorithm is used to solve this problem.The results show that this model can alleviate operators’fatigue by taking advantage of the idle time in the workstations reasonably while considering ergonomics constraint.The study suggests that ergonomics risk caused by excessive work load can be reduced on the premise of ensuring assembly line balance.
作者
赵小松
赵舒萌
刘娜
樊锐
何桢
Zhao Xiaosong;Zhao Shumeng;Liu Na;Fan Rui;He Zhen(College of Management and Economics,Tianjin University,Tianjin 300072,China)
出处
《系统工程学报》
CSCD
北大核心
2020年第2期265-275,共11页
Journal of Systems Engineering
基金
国家自然科学基金资助项目(71672122).
关键词
混流装配线平衡
人因约束
疲劳
恢复
遗传算法
mixed-model assembly lines balancing
ergonomic constraint
fatigue
recovery
genetic algorithm
