基于马尔可夫链的自动化立体仓库的绩效评估

Performance Evaluation of Automated Warehouse Based on Markov Chain

科学可行的评估方法是改善自动化立体仓库应用现状的必要前提。已有的基于自动化立体仓库的绩效评估方法以静态的、定性的分析方法为主,其结论与实际情况存在一定的偏差。采用动态的、定量的评估方法对自动化立体仓库的绩效进行分析,从而为提高自动化立体仓库的使用效率提供分析依据。确定了自动化立体仓库的绩效评估的指标变量,并将马尔可夫分析法应用到自动化立体仓库的绩效评价系统中,建立了数学求解模型,并通过ARENA仿真技术,验证了该模型的可行性与科学性。

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.