高密度敏捷存储分拣系统初始货道分配与入库计划优化研究
发布时间：2018-07-21 15:40
【摘要】：目前,物流产业已发展为我国国民经济的支柱产业,而仓储作为物流过程中的关键一环,在货物流通中发挥着重要作用。随着汽车企业规模不断扩大,汽车产业集聚区内销售物流中心对仓储系统提出了大规模、高效率集散的要求,因此课题组提出了以高密度敏捷存储分拣系统为核心的大规模配送中心设计方案。本文对高密度敏捷存储分拣系统的货道分配和入库优化问题进行了研究,具有较高的实用价值。(1)介绍了高密度敏捷存储分拣系统的组成和功能,提出了均衡出库初始货道分配的优化目标,并建立了相应模型。采用实数编码方式设计了遗传算法,以某配送中心的均衡出库信息为例,按照不同权重组合,对贯通式货架的货道进行了优化分配,得到了优化结果并分析和对比,验证了算法的有效性。(2)在遗传算法基础上设计了模拟退火遗传算法,将模拟退火遗传算法和遗传算法的优化结果进行了对比,证明了改进后的算法具有更强搜索能力和收敛速度。(3)提出了规律出库初始货道分配的优化目标,建立了模型。以某配送中心三天和五天的规律出库信息为例,分别对贯通式货架的货道分配进行了优化并得到了优化结果。详细对比和分析了优化结果,证明了三天与五天的优化结果表现出相同的规律,验证了算法的通用性和有效性。(4)确定了入库计划优化的优化目标并建立了数学模型。以某配送中心的出入库信息为例,按照"只能提前,不能延后"的入库原则,采用遗传算法对入库计划进行调整,得到了优化结果。通过优化结果与原入库计划的对比,证明了优化后入库计划的优良表现,验证了算法的有效性。
[Abstract]:At present, logistics industry has developed into the pillar industry of our national economy, and warehousing, as a key link in the process of logistics, plays an important role in the circulation of goods. With the continuous expansion of the scale of automobile enterprises, the sales and logistics center in the automobile industry agglomeration area has put forward the requirements of large-scale, high-efficiency distribution of warehousing system. Therefore, the design scheme of large-scale distribution center based on high density agile storage and sorting system is put forward. In this paper, the distribution and storage optimization of high density agile storage sorting system is studied, which is of great practical value. (1) the composition and function of high density agile storage sorting system are introduced. The optimal target of initial cargo distribution is put forward and the corresponding model is established. The genetic algorithm is designed by using real number coding method. Taking the equilibrium information of a distribution center as an example, according to the different weight combinations, the optimal distribution of the through shelf is carried out, and the optimized results are obtained, and the results are analyzed and compared. The effectiveness of the algorithm is verified. (2) simulated annealing genetic algorithm is designed on the basis of genetic algorithm, and the optimized results of simulated annealing genetic algorithm and genetic algorithm are compared. It is proved that the improved algorithm has stronger searching ability and convergence speed. (3) the optimization target of initial cargo path assignment is proposed and the model is established. Taking the information of three days and five days as an example, the distribution of through shelves is optimized and the optimization results are obtained. The optimization results of three days and five days are proved to be the same, and the generality and validity of the algorithm are verified. (4) the optimization goal of the plan of storage is determined and the mathematical model is established. Taking the incoming and outgoing information of a distribution center as an example, according to the principle of "can only be advanced, can not be delayed", genetic algorithm is used to adjust the storage plan, and the optimized result is obtained. Through the comparison between the optimization results and the original storage plan, the excellent performance of the optimized storage plan is proved, and the validity of the algorithm is verified.
【学位授予单位】：山东大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TH692.3
本文编号：2135989
[Abstract]:At present, logistics industry has developed into the pillar industry of our national economy, and warehousing, as a key link in the process of logistics, plays an important role in the circulation of goods. With the continuous expansion of the scale of automobile enterprises, the sales and logistics center in the automobile industry agglomeration area has put forward the requirements of large-scale, high-efficiency distribution of warehousing system. Therefore, the design scheme of large-scale distribution center based on high density agile storage and sorting system is put forward. In this paper, the distribution and storage optimization of high density agile storage sorting system is studied, which is of great practical value. (1) the composition and function of high density agile storage sorting system are introduced. The optimal target of initial cargo distribution is put forward and the corresponding model is established. The genetic algorithm is designed by using real number coding method. Taking the equilibrium information of a distribution center as an example, according to the different weight combinations, the optimal distribution of the through shelf is carried out, and the optimized results are obtained, and the results are analyzed and compared. The effectiveness of the algorithm is verified. (2) simulated annealing genetic algorithm is designed on the basis of genetic algorithm, and the optimized results of simulated annealing genetic algorithm and genetic algorithm are compared. It is proved that the improved algorithm has stronger searching ability and convergence speed. (3) the optimization target of initial cargo path assignment is proposed and the model is established. Taking the information of three days and five days as an example, the distribution of through shelves is optimized and the optimization results are obtained. The optimization results of three days and five days are proved to be the same, and the generality and validity of the algorithm are verified. (4) the optimization goal of the plan of storage is determined and the mathematical model is established. Taking the incoming and outgoing information of a distribution center as an example, according to the principle of "can only be advanced, can not be delayed", genetic algorithm is used to adjust the storage plan, and the optimized result is obtained. Through the comparison between the optimization results and the original storage plan, the excellent performance of the optimized storage plan is proved, and the validity of the algorithm is verified.
【学位授予单位】：山东大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TH692.3
【相似文献】
相关硕士学位论文 前3条
1 李翔;高密度敏捷存储分拣系统初始货道分配与入库计划优化研究[D];山东大学;2017年
2 柳凤娟;板坯库入库计划模型与算法研究及应用[D];大连理工大学;2010年
3 张军强;热轧板坯库优化管理系统开发与应用研究[D];大连理工大学;2005年
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