计算机集成制造系统 ›› 2021, Vol. 27 ›› Issue (8): 2226-2236.DOI: 10.13196/j.cims.2021.08.006

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双深度多层穿梭车仓储系统并行作业及建模分析

占翔南1,徐立云1+,宓宏2,李爱平1   

  1. 1.同济大学机械与能源工程学院
    2.浙江衢州联州致冷剂有限公司
  • 出版日期:2021-08-31 发布日期:2021-08-31
  • 基金资助:
    国家科技重大专项资助项目(2018ZX09201010-005);国家自然科学基金面上资助项目(51975417)。

Modeling and analysis parallel operation of the double-deep multi-tier shuttle warehousing system

  • Online:2021-08-31 Published:2021-08-31
  • Supported by:
    Project supported by the National Science and Technology Major Project,China(No.2018ZX09201010-005),and the National Natural Science Foundation,China(No.51975417).

摘要: 为了解决传统顺序作业方式下,双深度多层穿梭车仓储系统存在的系统响应时间长和作业效率低等问题,在分析提升机和穿梭车并行作业的基础上,提出该类仓储系统的分离—聚合排队网络模型,并设计基于Coxian分布的近似分解算法进行求解。构建基于分离—聚合点的闭环排队网络模型,将各服务点的一般分布用Coxian分布替代,进而求解分离—聚合点的吞吐率;用单个服务点替代分离—聚合点,得到基于分离—聚合点的开环排队网络模型,并采用最大熵值法求解,得到系统性能指标。以实际案例的4种配置进行分析验证,结果表明所提模型可以较大幅度提升双深度多层穿梭车仓储系统的性能和作业效率。

关键词: 双深度多层穿梭车仓储系统, 并行作业, 排队网络模型, Coxian分布

Abstract: The double-deep multi-tier shuttle warehousing system has problems such as long response time and low operation efficiency under the traditional sequential operation.To solve these problems,based on analyzing the parallel operation of lift and shuttle,the fork-join queueing network model of the storage system was proposed,and the approximate decomposition algorithm based on Coxian distribution was designed to evaluate the performance of the parallel operation.A closed queueing network model of fork-join point was constructed,and the general distributions of each service points were replaced by Coxian distribution to solve the throughput rate of the fork-join point.The fork-join point was replaced by single service point,and the open queuing network model based on the fork-join point was obtained.The maximum entropy method was applied for the analysis of the open queuing network model.Four configurations of the actual case were analyzed and verified,and the results showed that the proposed model could greatly improve the performance and operation efficiency of the double-deep multi-tier shuttle warehousing system.

Key words: double-deep multi-tier shuttle warehousing system, parallel operation, queueing network model, Coxian distribution

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