考虑操作者工作负荷的混流装配线平衡问题研究

Research on Balance Problem of Mixed-Flow Assembly Line with Operator’s Workload

针对混流装配线上的任务分配和操作者分配问题,引入了考虑装配关系复杂度和操作者经验的脑力负荷模型与考虑能量消耗量的体力负荷模型,以最小化工作节拍、最小化时间均衡指数、最小化负荷均衡指数为目标,建立考虑操作者工作负荷的混流装配线平衡模型。针对此多目标优化问题,运用带精英策略的快速非支配排序遗传算法(NSGA-Ⅱ)求得Pareto解集,并用Matlab编程进行实例验证。结果表明,优化后的模型在保证前两个目标优化结果的同时,能更好地均衡各个工位间的工作负荷,验证了模型和方法的有效性。

For the problem of task assignment and operator assignment on mixed-flow assembly lines,a mental load model considering the complexity of assembly relationship and operator experience and a physical load model considering energy consumption are introduced to minimize the working beat and minimize the time balance. The indicator and the minimum load balancing indicator are the targets,and a mixed-flow assembly line balance model considering the operator’s workload is established.Aiming at this multi-objective optimization problem,the fast non-dominated sorting genetic algorithm with elite strategy( NSGA-Ⅱ) is used to obtain the Pareto frontier solution set that satisfies multiple target requirements simultaneously. Through a case study,the optimized model can better balance the load between the stations while ensuring the optimization results of the first two objectives,thus achieving the overall optimization of the problem. The validity of the model and method was verified.