多任务纺织立库货位分配与任务序列优化方法

At present,stereoscopic warehouse is widely used in textile workshops.Aiming at the low scheduling efficiency of a popular and general multi-task stereoscopic warehouse in textile enterprises,a set of warehouse scheduling methods was proposed from three aspects:task advance scheduling,storage location allocation and task sequence optimization.To solve the problem of unclear working time of different workers in manual operation area,a method for predicting working time of workers based on the autoregressive moving average model was proposed.In view of the unreasonable allocation of storage location,a multi-objective allocation model was established,and a solution method based on simulated annealing algorithm was proposed.For the low execution efficiency caused by the accumulation of task sequence,an improved genetic-particle swarm optimization algorithm for task sequence reordering was presented.The experimental comparative analysis showed that the proposed method could effectively improve the scheduling efficiency of the stereoscopic warehouse.