摘要
生产过程中的不确定因素常常造成生产线各工作站工作负荷不均,整线生产节拍紊乱甚至出现瓶颈工位等问题,最终导致平衡失效.针对此问题提出作业元素复杂度、工作站复杂度和整线复杂度测度方法,建立以平衡率最高、复杂度均衡指数最小和整线复杂度最小为目标的多目标优化模型,设计生产线平衡算法求解作业元素最优划分,并应用实例对方法进行验证.研究结果表明,该方法能够在保证生产线平衡率最高的同时,均衡工作站间复杂度差异和降低整线复杂度,避免不确定因素累积而导致生产线平衡失效,提高生产系统鲁棒性.
Some factors of production line always brings about the uneven load, station block and rhythm disorder for its complexity. A multi-objective optimization model was established to maximize the balance rate, and minimize the complexity equilibrium index and the line complexity. A method was proposed to optimize the division of operations. A balancing algorithm was adopted to a case study to verify the method and the effectiveness of the optimization model. The research result shows that the proposed method can balance the unevenness of the complexity among the stations and can simplify the line complexity by maximizing the balance rate.As a result, the robustness of avoiding the balance failure accumulation. the production line improves by due to the uncertain factors＇
出处
《同济大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2018年第2期228-234,共7页
Journal of Tongji University:Natural Science
基金
国家科技重大专项(2013ZX04012-071)
上海市科委项目(15111105500)
