Journal of System Simulation
Abstract
Abstract: It is necessary that the way of evaluating the AS/RS is scientific and feasible. However the majority of existing evaluate methods is static and qualitative, whose analysis results deviation, to a certain extent, from the real data. To support the improvement of the AS/RS use, the performance of AS/RS with a dynamic and quantitative method was analyzed. Specifically, the automated stereoscopic warehouse performance evaluation indicators were established; by using Marco analysis, the mathematical model of performance evaluation was got; based on ARENA software, the feasibility and validity of the mathematical solution model were verified.
Recommended Citation
Ma, Xiangguo; Liu, Tongjuan; Li, Wang; and Jiang, Rongfen
(2020)
"Performance Evaluation of Automated Warehouse Based on Markov Chain,"
Journal of System Simulation: Vol. 28:
Iss.
7, Article 29.
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol28/iss7/29
First Page
1692
Revised Date
2015-12-03
DOI Link
https://doi.org/
Last Page
1700
CLC
TP391.9
Recommended Citation
Ma Xiangguo, Liu Tongjuan, Wang Li, Jiang Rongfen. Performance Evaluation of Automated Warehouse Based on Markov Chain[J]. Journal of System Simulation, 2016, 28(7): 1692-1700.
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