Abstract: Content of abstract During the last years,the manufacturing industry is experiencing an increasing trend in the utilization of mixed-model assembly line (MMAL).To solve the problem of mixed model assembly line sequencing problem under the influence of subjective and objective factors,an interactive sequencing model aiming at minimizing the blocking time of workstations and minimizing the number of switching products was established,and the sequencing of bus in the actual processing process and sequencing results by the model were compared.From objective factors,the model had optimized the blocking time means the "refactoring" operation frame to achieve the aim of peak shaving processing.On the subjective factor level,the error rate of online operators was reduced because of frequent switching of products and a high degree of proficiency was maintained in the operation of convenience and fluency by considering the operation inertia of the online operator.The subjective and objective optimization evaluation algorithm was introduced to calculate the model and make the optimal task scheduling scheme.The results showed that the optimal sequencing had improved the blocking time of assembly line and the efficiency of production,which played a significant role in saving the limited time resources and releasing the limited space resources in the mixed model assembly line.

Key words: mixed-model assembly line sequencing, subjective and objective factors, product switching, work inertia, subjective and objective optimization evaluation algorithm, bus

摘要： 针对主客观因素交互影响下混合装配线的排序问题,建立以最小化工作站堵塞时间与最小化产品切换次数为目标的交互排序模型,并依据客车在实际加工过程中的传统排序方案与模型所得排序方案的结果进行对比分析。模型构建从客观因素出发,优化堵塞时间即“重构”作业框架,以达到对负荷高峰时期进行削峰处理的目的,并进一步在主观因素层面上,考虑线上操作者的作业惯性,降低线上操作者对频繁切换产品的出错率,保持较高熟练度时操作的方便与流畅性。引入主客观优化评价算法对模型进行计算,决策出最优任务调度方案。对比分析结果表明,模型获得的最优排序改善了装配线的生产堵塞时间,同时兼顾主观因素主导下的产品切换频率问题,对于节省装配过程中有限的时间资源和释放有限的空间资源具有很大的作用。

关键词: 混流装配线排序, 主客观因素, 产品切换, 作业惯性, 主客观优化评价算法, 客车