关键词: 药品仓库, 堆垛机, 自动导引小车, 集成调度模型, 改进的免疫克隆算法, Plant Simulation软件, 物流

Abstract: Aiming at the problems such as high empty load rate and low efficiency of stacker and Automated Guided Vehicle (AGV) caused by strict requirements on pharmaceutical batches and high frequency of outbound and inbound in pharmaceutical warehouse,a hybrid command sequence operation time model suitable for integrated scheduling of stacker and AGV in pharmaceutical warehouses was established.The objective of the model was to minimize the total operation time of outbound and inbound orders.Aiming at the combinatorial optimization problem of the integrated scheduling model,an improved immune clone algorithm was designed.An improved memory cell was constructed to overcome the weakness that the original immune clone algorithm could only remember a single optimal antibody but not remember the optimal solution group.The calculation results showed that the proposed algorithm had better searching ability and stronger convergence,and effectively shortened the storage operation time by comparing with artificial immune algorithm and original immune clone algorithm.Taking the actual storage operation of pharmaceutical warehouse as an example,Plant Simulation was applied to simulate the pharmaceutical warehouse before and after optimization respectively.The simulation results showed that the proposed model and algorithm effectively improved the equipment operation efficiency and the storage efficiency.

Key words: pharmaceutical warehousing, stacker, automated guided vehicle, integrated scheduling model, improved immune clone algorithm, Plant Simulation, logistics