Optimization of collaborative operation scheduling for hybrid tobacco receiving/retrieving equipment in warehouse
To reduce the reliance on manual labor in tobacco raw material receiving/retrieving,improve operational efficiency,and standardize operational procedures,an automation scheme for tobacco receiving/retrieving was proposed based on the original layout of the warehouse.An optimization model for the collaborative operation of forklift AGVs and transport AGVs was configured,and a two-stage collaborative optimization algorithm was designed,namely a simulated annealing algorithm for the job pre-assignment stage of the forklift AGVs,and a fast non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ)for the co-scheduling stage of the transport AGVs.A simulation test was conducted using the tobacco warehouse of China Tobacco Zhejiang Industrial Limited Corporation as the object,and the results showed that the adoption of the simulated annealing algorithm to the job pre-assignment reduced the differences of completion time by more than 500 seconds and the maximum task completion time by more than 10%compared with the traditional manual assignment strategy,and the adoption of NSGA-Ⅱ to the co-scheduling of transport AGVs reduced the maximum task completion time by more than 25%compared with the random co-assignment algorithm.This method helps to promote the efficiency of tobacco receiving/retrieving in the tobacco warehouse.
Tobacco raw materialWarehousingAGVHybrid equipmentCollaborative operationOptimization model
国家科技期刊平台
NSTL
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