基于遗传算法的自动化立体仓库储位优化研究

针对自动化立体仓库中货物储位分配策略研究关于多目标数学模型关键性问题。根据立体仓库中货物最佳位置分配的原则和策略,建立合理的货物出入库效率、货架稳定性和货物周转率的3个目标函数模型。根据立体仓库高效性能构建货物存取效率的调整优化模型,借助MATLAB程序对实际货物储位布局实例进行计算和求解并利用遗传算法获得了最优迭代解。仿真结果表明：采用遗传算法可以有效地优化货物储位分配,降低货架质心来提高稳定性,提高存储效率,改善和提高仓库智能化性能。     

基于入侵杂草算法的WMS货位优化分配的研究

近年来,仓储管理的发展越来越迅速,在物流业中所居的地位也越来越高。仓库的出入库速度是影响仓库效率的重要因素,因此合理的库位分配可以有效地提高仓库的作业效率。针对仓库货位分配策略问题,以相同产品存储相邻位置、提高产品出入库效率、提高货架稳定性为目标,建立了多目标优化模型;然后使用权重系数法将多目标优化模型转化为单目标优化模型;最后分别通过遗传算法和入侵杂草算法来求解该单目标优化模型,并使用Matlab软件进行了仿真实验。对比两种算法的仿真结果可以看出,采用入侵杂草算法可以有效地解决自动化立体仓库的货位优化分配问题。     

Flying-V型仓储布局下的拣货路径优化

为了提高现代仓库作业中的拣货作业这一核心环节的拣货效率,提出了一种以蚁群算法作为优化算法来解决仓库订单拣选的路径优化问题。这种算法采用正反馈机制,其使得搜索过程不断收敛,最终逼近最优解。而根据Flying-V型仓库布局的特点,建立了订单拣选优化路径模型,并通过仿真实验,对传统穿越策略,S形启发式算法,蚁群算法三种算法的性能进行了比较,比较结果表明蚁群算法优化拣货路径可以明显地缩短拣货距离,大大提高拣货效率,在实际运用中也具有良好的实用性。     

Flying-Ⅴ型仓储布局下的拣货路径优化

为了提高现代仓库作业中的拣货作业这一核心环节的拣货效率,提出了一种以蚁群算法作为优化算法来解决仓库订单拣选的路径优化问题.这种算法采用正反馈机制,其使得搜索过程不断收敛,最终逼近最优解.而根据Flying-Ⅴ型仓库布局的特点,建立了订单拣选优化路径模型,并通过仿真实验,对传统穿越策略,S形启发式算法,蚁群算法三种算法的性能进行了比较,比较结果表明蚁群算法优化拣货路径可以明显地缩短拣货距离,大大提高拣货效率,在实际运用中也具有良好的实用性.     

自动化仓库的Petri网建模和路径优化

在仓库的优化过程中，自动化仓库的作业时间包括货物上人库台或下出库台的卸载作业时间，货箱人库时在控制中心的检录时间，货箱在出、人库运输链上运行的平均时间，堆垛机寻址运行时间等，其中堆垛机的寻址、存放货物时间占整个人出库过程的大部分时间，尤其是当大量的货物同时进出库时。     

两端式自动化立体仓库布局堆垛机调度

针对两端式自动化立体仓库出/入库任务序列的分配方式和堆垛机的调度路径展开了研究。以堆垛机执行出/入库任务的时间为存储效率的评价标准,考虑货物出/入库台的分配问题,建立了单一命令与复合命令两种作业方式并存的堆垛机调度模型。运用涡流搜索算法优化堆垛机的调度路径,获得了堆垛机调度模型的最优解,实现了存储效率的最优化。仿真验证表明,该方法可以有效分配货物的出/入库台,优化堆垛机调度路径,提高仓库的存储效率。     

自动化仓库的发展现状及展望

自动化仓库,又被称为“立体仓库”,它与自动分拣系统和自动导向车并称为物流技术现代化的三大标志。自动化仓库具有提高空闻利用率及货物管理质量,提高劳动生产率,降低劳动强度等优点。     

A企业自动化立体仓库布局仿真与优化研究——基于Flexsim和TOPSIS

随着计算机和自动化技术的广泛应用,自动化立体仓库在企业实践中备受关注,但如何优化自动化立体仓库布局,成为企众多业亟待解决的重要问题之一。以A企业为例,对其拟建的自动化立体仓库布局进行优化研究。针对A企业已设计的两种仓库布局方案,首先使用Flexsim软件对仓库两种布局方案建模仿真;然后基于Flexsim仿真运行得到的两种方案数据,应用TOPSIS法进行对比分析,确定较优布局方案;最后利用Flexsim软件对较优布局方案进行再次仿真及优化,进而确定最优布局方案。研究结果表明,运用Flexsim仿真技术和TOPSIS法相结合,对A企业自动化立体仓库布局进行优化,具有可操作性和可行性,为企业进行自动化立体仓库布局提供借鉴。     

自动化立体仓库（AS／RS）

自动化立体仓库简称立体仓库或立体库,一般是指采用几层、十几层乃至几十层高的货架储存单元货物,用相应的物料搬运设备进行货物入库和出库作业的仓库。立体库系统是由立体货架、有轨巷道堆垛机、出入库托盘输送机系统、     

基于混合蚁群粒子群的多AGV路径规划研究

针对智能仓库中AGV搬运货物的路径优化、交通管制等问题,首先分析了立体仓库中AGV的工作特点与路径的情况,提出了混合蚁群粒子群方法,在传统的人工蜂群算法中结合粒子群算法思想,使算法同时具备蚁群算法的正反馈与粒子群的多样性,通过仿真,该算法路径优化速度较快,且比以往的路径安全。使AGV的运行效率得到提高。     

自动化立体仓库货位优化研究

分析了自动化立体仓库货位优化的问题,建立了自动化立体仓库货位优化的数学模型,采用遗传算法研究了货位优化的方法,通过实例仿真分析,优化后显著提高了货架的稳定性,并且提高了货物的存取效率。     

基于两阶段狼群算法的自动化立体仓库作业集成优化

为提高单载具自动化立体仓库动态工况下的进出库效率,针对自动化立体仓库作业集成优化问题建立了仿真优化模型。模型根据货物重质、出入库频率划分货架区域,以指令内最小化单载具堆垛机运行时间为研究目标,设计了一种两阶段狼群算法对其进行优化。该算法使用狼群算法对货位分配和作业调度进行集成优化,求解过程体现出两优化问题之间的关联和反馈。实验结果表明,在不同的订单规模下,相比其他优化方式,两阶段狼群算法能得到满意解,并有效缩短自动化立体仓库的作业时间。     

基于模糊逻辑的立体仓库入库货位指派系统的研究

入库货位分配系统是影响自动化立体仓库运行效率的关键因素之一。针对制造业立体仓库的特点,提出了基于模糊逻辑的方法对入库货位进行分配,选取货品重量、货品周转率和货位的仓库空闲状态作为模糊逻辑的输入变量,通过模糊推理,得到货品的入库货位。在数字化车问的运行验证了该入库货位分配方法的有效性和先进性。     

Dynamic availability-oriented control of the automated storage/retrieval system. A computer integrated manufacturing perspective

Dynamic scheduling of the storage/retrieval (S/R) requests and increasing the utilization of the storage spaces, are the two common approaches to improve the efficiency of the automated storage/retrieval systems (AS/RS) in industry practice. However, the actual improvement of the AS/RS has to be justified from the perspective of computer integrated manufacturing system (CIMS) because the ultimate objective of the AS/RS is to assist the CIMS in enhancing its material handling efficiency as well as synchronizing the production. Targeting on this crucial requirement, a dynamic availability-oriented controller (DAOC) is developed in this paper to minimize the mean request fulfilment time of the AS/RS. Firstly, while considering the three types of critical dynamic constraints from the CIMS’ shop floor: the availabilities for both machines and the AS/RS, the process plan of the product, and the production schedule, DAOC is capable of determining the optimal execution sequence of the S/R requests issued from the CIMS and activating dynamic storage space consolidation commands of the AS/RS. Secondly, simulation experiments are conducted and the results show that DAOC successfully improves the S/R request control scheme of the traditional class-based assignment method and significantly outperforms four comparable approaches under various CIMS configurations.     

Optimal random storage allocation for an AS/RS in an FMS

A flexible manufacturing system (FMS) comprises, automated machine tools, automated material handling, and an automated storage and retrieval system (AS/RS) as essential components. Optimal performance of each element of this system would improve the productivity and efficiency of the total FMS. In this context, this paper attempts to link the operation of the AS/RS with the production schedule and suggests two different classes of algorithms, namely, heuristics and genetic algorithms to improve the performance of the AS/RS operation by allocating the materials with minimum movement of the shuttle.     

烟丝原料立体仓库堆垛机出入库作业优化研究

为了提高烟丝原料立体仓库堆垛机的作业效率,解决多台堆垛机作业不均衡问题,提出了以各堆垛机作业时间总和最小与作业时间均衡为目标的出入库作业优化模型.在该模型中,用出入库优化作业的规则替代原有作业规则.为了寻求最佳的出入库货位序列,该模型通过构建货位坐标系,采用堆垛机在全速和减速运行状态下联合作业和单作业两种模式的作业时间计算方法,提高了出入库的作业效率.在相同参数下,对一个具体烟丝立体仓库实例进行了作业优化前后的比较.结果表明,通过采用优化作业方法,作业效率每小时可以提高82个烟包,各堆垛机的作业不均衡性大为减小.     

An innovative automated storage and retrieval system for B2C e-commerce logistics

Flexible and timely warehousing activities provide a strong foundation for logistic systems. However, increasing B2C e-commerce with a variety of small internet orders may have a tremendous impact on warehousing. Automated storage/retrieval systems (AS/RSs) are a valid alternative for warehousing. Typical AS/RSs design and control problems in a static environment and cannot effectively manage parcel, small, and irregular items. This study proposes a new AS/RS that is more efficient and flexible for handling B2C e-commerce logistics. An auto-access multilevel conveying device (IMCD) with three-dimensional movement is integrated into the AS/RS. The ant colony system algorithm locates near-optimal routes for the IMCD. Typical travel distance/time measures evaluate the performance of an S/R device running on a warehouse floor. However, the performance index in this study looks at the IMCD’s travel time with three-dimensional movement in completing a batch order. To validate the new AS/RS, two simulation experiments were conducted to examine the effects of three-dimensional velocity and rack shape. Finally, this study compares a typical S/R system with the new AS/RS and makes recommendations for practical applications and further research.     

基于MCGS组态软件的自动化立体仓库控制系统的开发

通过设计一套自动化立体仓库,达到解决城市用地紧张,降低劳动强度,提高工作效率等的目的。它的控制系统是以西门子PLC作为控制系统的核心,利用MCGS组态软件设计出自动化立体仓库上位机监控界面,MCGS组态软件通过设备驱动程序从现场硬件设备获取实时数据并处理,通过指示灯显示货物是否完成到位,并由操作人员按照要求将控制指令数据送给现场硬件设备,以控制立体仓库码垛机械手的各种动作,实现对货物的自动化存取。     

自动化立体仓库堆垛机拣选作业调度研究

将堆垛机拣选作业调度归纳为旅行商问题，并从遗传算法角度，研究了求解堆垛机拣选作业调度最优路径的具体方法。经过仿真试验验证，这一方法完全可行。     

Storage assignment optimization in a multi-tier shuttle warehousing system

The current mathematical models for the storage assignment problem are generally established based on the traveling salesman problem(TSP), which has been widely applied in the conventional automated storage and retrieval system(AS/RS). However, the previous mathematical models in conventional AS/RS do not match multi-tier shuttle warehousing systems(MSWS) because the characteristics of parallel retrieval in multiple tiers and progressive vertical movement destroy the foundation of TSP. In this study, a two-stage open queuing network model in which shuttles and a lift are regarded as servers at different stages is proposed to analyze system performance in the terms of shuttle waiting period (SWP) and lift idle period (LIP) during transaction cycle time. A mean arrival time difference matrix for pairwise stock keeping units(SKUs) is presented to determine the mean waiting time and queue length to optimize the storage assignment problem on the basis of SKU correlation. The decomposition method is applied to analyze the interactions among outbound task time, SWP, and LIP. The ant colony clustering algorithm is designed to determine storage partitions using clustering items. In addition, goods are assigned for storage according to the rearranging permutation and the combination of storage partitions in a 2D plane. This combination is derived based on the analysis results of the queuing network model and on three basic principles. The storage assignment method and its entire optimization algorithm method as applied in a MSWS are verified through a practical engineering project conducted in the tobacco industry. The applying results show that the total SWP and LIP can be reduced effectively to improve the utilization rates of all devices and to increase the throughput of the distribution center.