考虑拆解故障的退役产品人机混流线插单调度

多源异构退役3C产品服役阶段产生的结构变形可能引发自动拆解设备故障,性能漂移失效会扰动拆解工艺规划和生产调度. 以退役3C产品人机混流拆解线为研究对象,研究退役产品拆解故障导致的插单调度问题. 构建量化不确定性拆解序列和拆解深度的AND/OR节点网络模型.以最大化工位利用率为优化目标,拆解故障产品缓存搬运阈值为变量,建立人机混流线插单调度模型.采用二维实数编码方式编码,选用遗传算法求解. 选取58种品系退役智能手机的人机混流聚类拆解产线数据实例验证. 结果表明,构建的人机混流线插单调度模型能有效制定工位利用率最大的阈值插单调度方案. 实例聚类的3类混流拆解线优化后的最大工位利用率分别为80.3%、73.2%、81.3%.

Decommissioned Products Manual-automatic Hybrid Line Insertion Order Scheduling Considering Disassembly Faults

The structural deformation generated by multi-source heterogeneous decommissioned 3C products in the service stage may cause the failure of automatic disassembly equipment. The performance drift failure will also disturb the disassembly process planning and production scheduling. Taking the decommissioned 3C product mixed-flow disassembly line as the research object, this study investigates the insertion order scheduling problem caused by decommissioned product disassembly failure in decommissioned products. An AND/OR node network model is constructed to quantify uncertain disassembly sequence and depth. With the optimization goal of maximizing workstation utilization and the variable of disassembly fault product buffering and transfer threshold, a mixed manual-automatic line reordering schedule model is established. Then, it is encoded by two-dimensional real-number coding and solved by a genetic algorithm. Finally, data instances of 58 varieties of decommissioned smartphones with mixed manual-automatic disassembly lines are selected for verification. The results show that the established manual-automatic hybrid line scheduling model can effectively develop the threshold scheduling scheme of maximum workstation utilization. The optimized maximum utilization rates of the three types of mixed-flow disassembly lines in the example clustering are 80.3%, 73.2%, and 81.3%, respectively.