Journal of System Simulation
Abstract
Abstract: Aiming at the intelligent warehouse storage robot configuration, a discrete event simulation model based on queuing theory is constructed. Considering the influence of faults and the reliability and service intensity of the system, aiming at minimizing the total cost of distance cost, time cost, idle cost and purchase cost, a based on FlexSim simulation model is proposed. Discrete event simulation optimization method of the platform. By analyzing the system average team length, order average stay time and other indicators, the intuitionistic bottleneck of the system is combined with the actual operation data, and the configuration strategy of minimum system cost is obtained. The configuration scheme of intelligent warehouse robot of the example is solved. The results show that the optimization method can solve the optimization scheme of storage robot configuration and ensure the calculation efficiency of the model method.
Recommended Citation
Di, Guo; Xie, Danlan; and Yuan, Ji
(2020)
"Research on Simulation Optimization of Intelligent Storage Robot Configuration Under Multiple Constraints,"
Journal of System Simulation: Vol. 32:
Iss.
10, Article 25.
DOI: 10.16182/j.issn1004731x.joss.20-FZ0302
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol32/iss10/25
First Page
2066
Revised Date
2020-06-04
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.20-FZ0302
Last Page
2072
CLC
TP391.9
Recommended Citation
Guo Di, Xie Danlan, Ji Yuan. Research on Simulation Optimization of Intelligent Storage Robot Configuration Under Multiple Constraints[J]. Journal of System Simulation, 2020, 32(10): 2066-2072.
DOI
10.16182/j.issn1004731x.joss.20-FZ0302
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Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons