订单分批算法的适用性研究

本文回顾了当前企业分拣过程中订单分批的最优算法.在人工分拣环境,在不同储位分配和仓储物品量的条件下,对订单分批的FIFS,MAA,COG,GSM,GS等五种算法进行考察.根据某国有大型企业的订单数据和计算机生成订单,采用Java编程实现各种算法,通过程序分析了不同条件下各种算法的分拣效率.实验结果表明S型分拣路线的MAA启发式算法,比其他算法优化效果更好,因此推荐采用.     

产业集聚区总体发展规划探析——以南召县为例

该文以南召县产业集聚区总体发展规划为例,从产业确定、空间落实、实施保障三个部分进行分析和探索。希望能够对时下河南省正在编制的175个产业集聚区总体发展规划,在研究重点、研究框架和研究方法上有所帮助和启示。     

基于Softmax回归的电力仪表分类

智能电网中变电站的智能化。要求变电站能够智能检测并记录反映其运行情况的开关状态、电表数据。现有的方法多是通过获得电表的图片,针对图片分析其状态、数据。然而在分析具体电表数据之前,需要对图片进行分类,判断当前图片对应哪一种电表。基于Softmax回归的电力仪表分类正是为了解决这个问题而提出的分类方法。分为图片预处理、降维、Softmax回归模型的训练三个步骤。在真实变电站电力仪表图片组成的实验数据测试下,能够保持非常高的识别率,从而有效地解决这一问题。     

基于STM32嵌入式的无线通信远程数据传输控制系统设计

无线通信远程数据传输控制系统对提高数据传输稳定性起到积极作用,大量数据传输任务给系统的控制功能带来巨大挑战,为此利用STM32嵌入式技术实现无线通信远程数据传输控制系统的优化设计。将STM32芯片以嵌入式的方式安装到数据传输控制器中,改装传输数据处理器,加设时钟发生器。通过系统电路的调整与连接,完成数据传输控制硬件系统的设计。在硬件设备的支持下,采集并处理无线通信数据资源,设置远程数据传输控制协议。在协议约束下,根据信道特征合理分配远程传输数据资源,最终从传输速率、传输流量等方面,实现系统的无线通信远程数据传输控制功能。通过系统测试实验得出结论：在优化设计系统的控制下,远程数据传输速率误差、丢包率控制和传输拥塞总时长均低于预设值,且吞吐率高于88%,由此说明优化设计系统的控制功能和运行性能均满足设计与应用要求。     

钢卷库行车定位精度确定的方法

天车是仓库作业的主要物流设备 ,天车的定位精度对仓库作业效率和效益有着非常大的影响。分析了定位精度的可选范围 :即天车的定位精度应根据库区布置来确定 ,并保证在可选的范围内。建立了根据垛位平面布置和堆放物品的物理尺寸确定天车定位精度的数学模型     

供应链环境下制造企业物流系统设计研究

针对网络时代物流的新特点，提出了供应链环境下的物流系统设计目标，并从战略、战术、操作三个层面描述了设计的主要内容，从整体上勾勒出供应链环境下的物流系统设计工作的轮廓。     

Biomass power cost and optimum plant size in western Canada

The power cost and optimum plant size for power plants using three biomass fuels in western Canada were determined. The three fuels are biomass from agricultural residues (grain straw), whole boreal forest, and forest harvest residues from existing lumber and pulp operations (limbs and tops). Forest harvest residues have the smallest economic size, 137 MW, and the highest power cost, $63.00 MWh⁻¹ (Year 2000 US$). The optimum size for agricultural residues is 450 MW (the largest single biomass unit judged feasible in this study), and the power cost is $50.30 MWh⁻¹. If a larger biomass boiler could be built, the optimum project size for straw would be 628 MW. Whole forest harvesting has an optimum size of 900 MW (two maximum sized units), and a power cost of $47.16 MWh⁻¹ without nutrient replacement. However, power cost versus size from whole forest is essentially flat from 450 MW ($47.76 MWh⁻¹) to 3150 MW ($48.86 MWh⁻¹), so the optimum size is better thought of as a wide range.

None of these projects are economic today, but could become so with a greenhouse gas credit. All biomass cases show some flatness in the profile of power cost vs. plant capacity. This occurs because the reduction in capital cost per unit capacity with increasing capacity is offset by increasing biomass transportation cost as the area from which biomass is drawn increases. This in turn means that smaller than optimum plants can be built with only a minor cost penalty. Both the yield of biomass per unit area and the location of the biomass have an impact on power cost and optimum size. Agricultural and forest harvest residues are transported over existing road networks, whereas the whole forest harvest requires new roads and has a location remote from existing transmission lines. Nutrient replacement in the whole forest case would make power from the forest comparable in cost to power from straw.     

基于BP神经网络的物流交通实载率监测仿真

针对传统物流交通实载率监测方法仅处理静态信号,导致监测误差率较高,引用BP神经网络对物流交通实载率监测方法进行优化设计。在物流运输车辆和运输路线上,安装物流交通数据监测设备,为实载率的计算提供原始数据。借助监测设备对道路上运行的车辆进行识别,若识别为物流监测车辆,则利用BP神经网络对产生的监测信号进行动态处理。最终通过确定载重量、运输距离和车辆行驶里程的值,得出实载率的实时监测结果。通过仿真验证得出结论:设计的基于BP神经网络的物流交通实载率监测方法的平均误差率为1.4%,与传统方法相比降低了2.4%,且可准确监测实载率,保障了监测准确率。     

Production logistics digital twins: Research profiling,application, challenges and opportunities

In the era of Industry 4.0, Production Logistic Digital Twins (PLDTs) have garnered remarkable attention from both academic and industrial communities. This is evident from the growing number of research publications on PLDTs in international scientific journals and conferences. However, given the diversity and complexity of production logistics activities, there is a pressing need for systematic literature review to chart past research and identify potential directions for future endeavors. Therefore, this study primarily focuses on the application of Digital Twins (DTs) in Production Logistics (PL). Firstly, an analysis of PLDTs research profiling is carried out based on general trends, keywords, application scenarios, and basic functions. Secondly, the functional characteristics of PLDTs are examined while summarizing their advantages and limitations across various application scenarios such as transportation, packaging, warehousing, material distribution, and information processing. And the roles played by smart technologies such as Internet of Things (IoT) in PLDTs system are discussed. Finally, possible challenges and future directions of PLDTs in industrial application are presented, accompanied by appropriate classification and extensive recommendations.