城市应急物流配送路径优化英文
城市应急救援中心选址及车辆路径优化研究评述与展望
城市应急救援中心选址及车辆路径优化研究评述与展望针对紧急突发事件下的应急救援中心选址及车辆路径优化问题研究是近年来新兴的研究热点之一，其研究成果可以有效减少区域自然灾害和城市突发性紧急事件所带来的人员伤亡和财物损失。
对国内专家学者在该领域的研究成果进行了系统的归纳整理，从传统确定性条件下到不确定情景下的应急救援中心选址及车辆路径优化研究中所涉及到的研究方法、模型、求解方法等方面进行了综合评述。
另外还讨论了应急物流研究发展历程中存在的一些问题，最后展望了我国智慧城市建设情景下应急救援问题的研究趋势。
标签：应急救援；选址；路径优化；智能算法；综述与展望近年来，我国各地发生自然灾害及人为突发性事件的频率越来越高，给人们带来的生命威胁以及财产损失也越来越大〔1-2〕。
如：2012年5月10日，甘肃岷县发生特大冰雹山洪泥石流自然灾害，导致40人死亡，直接经济损失达68亿元。
除了大规模自然灾害以外，城市内部的突发性紧急事件也层出不穷，特别是人为的公共场所危害事件。
如：2014年3月1日昆明火车站发生严重暴力恐怖事件，致使33人死亡130人受伤；2014年12月31日晚，上海外滩群众自发跨年夜活动过程中发生严重踩踏事件，造成36人死亡49人受伤等。
由于该类事件的突发性、不确定性、复杂性决定了其救援工作难度远远超过了常规物流配送，政府和救援机构只能依靠现有的应急救援系统做好突发事件发生后的紧急救援工作，从而减少人员伤亡和财物损失。
科学可行的城市应急救援中心选址和资源调度体系建设中，需要更多地结合地理空间信息以及突发事件相关信息来分析需求点的分布特征和突发事件的发生概率，运用最优化理论和启发式算法实现“智慧”应急救援。
并且近年随着我国智慧城市建设的逐步推进和完善，智能交通和高效应急救援体系也是成为智慧城市建设必不可少的重要组成部分。
基于此，为了适应我国智慧城市建设需要，确保城市发生各种突发事件时城市应急救援中心能够及时响应、智能化调度救援车辆、选择最佳救援路线、实施高效救援，面向智慧城市建设的不确定情景下城市应急救援中心的选址和车辆路径优化问题成为目前亟待解决的课题〔3-5〕。
城市应急物流配送路径优化英文
城市应急物流配送路径优化英文Optimization of Emergency Logistics Distribution Routes in Urban AreasIn urban areas, emergency logistics distribution plays a crucial role in responding to various disasters and emergencies. The timely and efficient delivery of essential goods, such as food, water, medical supplies, and equipment, can significantly affect the outcome of emergency situations. Therefore, it is essential to optimize the delivery routes for emergency logistics distribution to ensure that the goods are delivered to the affected areas in a timely and efficient manner.One of the primary considerations in optimizing emergency logistics distribution routes is the selection of the most appropriate mode of transportation. Depending on the nature of the emergency, different modes of transportation may be required, such as trucks, helicopters, or boats. For example, in flood-prone areas, boats may be the most efficient mode of transportation for delivering goods to affected areas.Another critical factor in optimizing emergency logistics distribution routes is the identification of the most efficient routes. This involves analyzing various factors, such astraffic congestion, road conditions, and distance, to determine the quickest and safest routes for delivering goods. In some cases, alternative routes may need to be identified to avoid heavily congested areas or roadblocks caused by the emergency.The use of technology can also play a significant role in optimizing emergency logistics distribution routes. Geographic Information Systems (GIS) can be used to map out the affected areas and identify the optimal delivery routes. Real-time tracking systems can also be used to monitor the location of delivery vehicles and adjust the routes as needed. In conclusion, optimizing emergency logistics distribution routes in urban areas is crucial for the timely and efficient delivery of essential goods during emergencies and disasters. The selection of the most appropriate mode of transportation, identification of the most efficient routes, and the use of technology can all contribute to the success of emergency logistics distribution in urban areas.。
物流配送常用英文单词和常用句型
36.船务代理 shipping agency
37.国际货运代理 international freight forwarding agent
2019/8/30
40.报关 customs declaration
38.理货 tally 41.报关行 customs broker
39.国际货物运输保险 international transportation cargo insurance
SCM:Supply Chain Management供应链管理
T&T:Track and Trace位置追踪
OA办公自动化系统 FMS财务管理系统 QMS质量管理系统 HRMS人力资源管理系统
ECS:CEnvironmentally Conscious Supply Chain环境意识供应链 ESC: E2n0v19ir/o8/n3m0 entally Supply Chain环境供应链 GSCM :Green Supply Chain Management绿色供应链2管理
20.输送机 conveyor
21.自动导引车 automatic guided vehicle (AGV)
22.箱式车 box car
23.集装箱 container
25.特种货物集装箱 specific cargo container
28.公路集装箱中转站 inland container depot
28.增值物流服务 value-added logistics service
29.供应链 supply chain
30.条码 bar code
31.电子数据交换 electronic data interch2a01n9g/e8/3(E0DI)
模糊条件下应急物资公平配送多目标优化模型
在研究应急物资配送的公平性上文献不多。主要从两个方面进行考量：物资需求的满足比例和物资配送的时间延迟。文献 [7]研究了在规划期限内将应急物资从当地配送中心运送到受灾点。以最小化运输成本及配送公平性为目标，建立了模型。其中 配送公平性是指应急物资供应量要与受灾点受灾人数与需求数量成比例。文献[8]将受灾点的人口数量和配送延迟时间作为受灾 点的等待时间的权值建立了公平配送模型，并用变领域搜索算法求解。文献[9]以最小化最大等待时间作为公平考虑目标建立了 模型并进行求解。文献[10]以最小化成本和配送公平为目标建立模型并求解。此处的公平性是指受灾点需求未满足率而产生的 惩罚成本之和的最小化。
关键词：应急物流；公平；模糊需求；应急物资配送；车辆路径问题 中图分类号：F252.14 文献标识码：A
Abstract: After the disaster, the delivery of emergency materials to the disaster sites at the fastest speed and the most equitable distribution method is the core of the entire rescue work. In order to balance efficiency and fairness, comprehensive consideration is given to the uncertainty of the demand for materials at the disaster site, the time urgency of emergency materials distribution, and the fairness of the affected people's demand for emergency materials, with the minimum total transportation time of emergency materials and the minimum difference of demand satisfaction rate for each disaster site are the optimization goal, building a mul原 ti-objective vehicle routing problem optimization model. The model is solved by using MATLAB software. The results show that the most equitable way to distribute emergency materials to each disaster point will increase the total transportation time. Key words: emergency logistics; fairness; fuzzy demand; emergency materials distribution; vehicle routing problem
突发公共事件下应急物流中的优化运输问题的研究
突发公共事件下应急物流中的优化运输问题的研究一、本文概述随着社会的快速发展和全球化的深入推进，突发公共事件，如自然灾害、疫情爆发、事故灾难等，对人类社会的影响日益显著。
这些事件往往导致物资短缺、交通受阻、信息传递不畅等问题，对应急物流系统提出了巨大的挑战。
因此，如何在突发公共事件下优化运输问题，提高应急物流的效率，成为了当前研究的热点和难点。
本文旨在探讨突发公共事件下应急物流中的优化运输问题。
我们将对突发公共事件和应急物流的概念进行界定，明确研究范围和对象。
我们将分析突发公共事件对运输系统的影响，包括物资需求的变化、运输网络的破坏、运输能力的下降等。
在此基础上，我们将探讨应急物流中优化运输问题的关键要素，如运输路径的选择、运输资源的调配、运输成本的控制等。
接下来，我们将通过文献综述和案例分析的方法，深入探究突发公共事件下应急物流优化运输问题的研究现状和发展趋势。
我们将总结前人的研究成果和经验教训，分析现有研究的不足和局限性，为后续的研究提供借鉴和参考。
我们将提出一种基于多目标优化的应急物流运输模型，并通过仿真实验验证其有效性和可行性。
该模型将综合考虑运输时间、运输成本、运输风险等多个因素，以实现应急物流运输的最优化。
我们期望通过本研究，能够为突发公共事件下的应急物流运输问题提供新的解决思路和方法，为未来的应急物流管理和实践提供有益的参考和指导。
二、文献综述在应对突发公共事件的过程中，应急物流的优化运输问题一直备受关注。
众多学者针对这一领域进行了深入的研究和探讨。
本节将对前人的研究成果进行系统的文献综述，旨在明确研究现状、挖掘研究不足，为本研究的深入展开提供理论基础和研究方向。
在应急物流的研究方面，学者们主要关注了应急物流体系的构建、应急预案的制定与实施、应急资源的调度与分配等方面。
其中，优化运输问题是应急物流研究中的核心内容之一。
运输路径的选择、运输资源的调配、运输过程的优化等问题都受到了广泛关注。
物流行业物流配送路径优化方案
物流行业物流配送路径优化方案第一章物流配送路径概述 (2)1.1 物流配送路径基本概念 (2)1.1.1 物流配送路径的定义 (2)1.1.2 物流配送路径的分类 (2)1.1.3 物流配送路径的构成要素 (3)1.1.4 提高物流效率 (3)1.1.5 降低物流成本 (3)1.1.6 提升客户满意度 (3)1.1.7 促进可持续发展 (3)1.1.8 提高物流服务质量 (3)第二章物流配送路径优化方法 (3)1.1.9 概述 (4)1.1.10 遗传算法 (4)1.1.11 蚁群算法 (4)1.1.12 粒子群算法 (4)1.1.13 概述 (5)1.1.14 神经网络算法 (5)1.1.15 深度学习算法 (5)1.1.16 混合智能算法 (5)第三章节点选择与布局优化 (6)1.1.17 节点选择的重要性 (6)1.1.18 节点选择原则 (6)1.1.19 节点选择策略 (6)1.1.20 布局优化的目标 (6)1.1.21 布局优化方法 (6)1.1.22 布局优化步骤 (7)第四章货物装载与运输方式优化 (7)第五章路径规划算法与应用 (9)1.1.23 引言 (9)1.1.24 常见路径规划算法 (9)1.1.25 路径规划算法在物流配送中的应用 (9)1.1.26 车辆路径规划实例 (10)1.1.27 仓库内部路径规划实例 (10)1.1.28 城市配送路径规划实例 (10)第六章调度优化与实时调整 (10)1.1.29 启发式算法 (11)1.1.30 动态规划算法 (11)1.1.31 整数规划算法 (11)1.1.32 动态调度策略 (11)1.1.33 实时监控与预警策略 (12)1.1.34 应急调度策略 (12)第七章成本分析与控制 (12)1.1.35 成本分析方法 (12)1.1.36 成本控制措施 (13)第八章信息化建设与物流配送路径优化 (14)1.1.37 概述 (14)1.1.38 信息化建设策略 (14)1.1.39 系统概述 (15)1.1.40 系统功能模块 (15)1.1.41 系统应用效果 (15)第九章实施策略与效果评价 (16)1.1.42 组织架构调整 (16)1.1.43 技术支持与培训 (16)1.1.44 流程优化与规范 (16)1.1.45 激励机制与考核 (16)1.1.46 定量评价方法 (16)1.1.47 定性评价方法 (17)1.1.48 综合评价方法 (17)第十章发展趋势与展望 (17)1.1.49 智能化技术应用不断深入 (17)1.1.50 绿色物流成为主流 (17)1.1.51 协同配送成为新常态 (18)1.1.52 城乡配送一体化 (18)1.1.53 政策支持力度加大 (18)1.1.54 企业竞争加剧，创新能力提升 (18)1.1.55 物流配送网络不断完善 (18)1.1.56 以下建议： (18)第一章物流配送路径概述1.1 物流配送路径基本概念1.1.1 物流配送路径的定义物流配送路径是指在物流系统中，将货物从供应地运输至需求地的过程中，所采取的具体运输路线。
物流配送常用英文单词及常用句型课件
Logistics delivery order presence
Байду номын сангаас
Logistics delivery order
We need 1000 units delivered over
Logistics delivery order
Delivery process
involves several steps such as pickup, transportation, customs clearance, and delivery
Important factors for delivery success
reliability, efficiency, and tracking&tracking capabilities
Can you provide a quota for our regular monthly shipments?
Logistics delivery inquiry
How many does it cost to ship a package to the UK?
Logistics delivery inquiry
03
Wall Mart's success lies in its ability to manage and optimize its logistics operations, resulting in on time deliveries, low transportation costs, and satisfied customers
Logistics management: The process of planning, implementation, and controlling the effective and effective flow of goods, materials, and resources from the point of origin to the point of consumption for the purpose of minimizing total costs and satisfying customer needs (noun)
基于FIexsim仿真的应急物流配送流程优化研究
基于FIexsim仿真的应急物流配送流程优化研究目录一、内容描述 (2)1.1 研究背景与意义 (3)1.2 国内外研究现状综述 (4)1.3 研究内容与方法 (5)二、FIexsim仿真概述 (6)2.1 FIexsim仿真平台介绍 (7)2.2 仿真模型的构建基础 (8)2.3 仿真实验设计 (10)三、应急物流配送流程现状分析 (11)3.1 现有配送流程描述 (12)3.2 存在的问题及成因分析 (12)3.3 问题对物流效率的影响分析 (13)四、基于FIexsim的配送流程优化模型构建 (15)4.1 优化目标与约束条件的确定 (16)4.2 仿真模型的建立 (17)4.3 模型参数设置与优化策略设计 (19)五、仿真实验与结果分析 (20)5.1 实验方案设计与实施步骤 (21)5.2 实验结果记录与分析 (22)5.3 结果展示与讨论 (24)六、优化策略在实际应用中的效果评估 (25)6.1 优化策略的实施步骤与效果预测 (26)6.2 实际应用案例分析 (27)6.3 经济效益与社会效益评估 (28)七、结论与展望 (29)7.1 研究成果总结 (30)7.2 研究不足与局限 (31)7.3 未来研究方向与展望 (32)一、内容描述本文档主要围绕“基于FIexsim仿真的应急物流配送流程优化研究”展开内容描述。
该研究的目的是通过运用FIexsim仿真技术，对应急物流配送流程进行优化研究，以提高应急物流配送的效率，减少物资损耗，为应对突发事件提供有力支持。
应急物流配送现状分析：通过对当前应急物流配送流程进行深入分析，识别存在的问题和瓶颈，为后续优化研究提供基础。
FIexsim仿真技术介绍：详细介绍FIexsim仿真的基本原理、技术特点及其在应急物流配送领域的应用场景，为后续仿真优化提供技术支持。
仿真模型构建：基于实际数据，构建应急物流配送的仿真模型，模拟真实场景下的物流配送流程。
- 1、下载文档前请自行甄别文档内容的完整性，平台不提供额外的编辑、内容补充、找答案等附加服务。
- 2、"仅部分预览"的文档,不可在线预览部分如存在完整性等问题,可反馈申请退款(可完整预览的文档不适用该条件!)。
- 3、如文档侵犯您的权益，请联系客服反馈,我们会尽快为您处理(人工客服工作时间：9:00-18:30)。
City Emergency Logistics Delivery Path Optimization
Introduction
With the rapid development of urbanization and the expansion of urban populations, the challenges faced by city emergency logistics delivery have become increasingly complex. During emergency situations such as natural disasters or public health crises, the efficient distribution of goods and resources is crucial to ensure the well-being and safety of
city residents. This article aims to explore the optimization of city emergency logistics delivery paths, focusing on improving response times, reducing costs, and enhancing overall effectiveness.
Challenges of City Emergency Logistics Delivery
1.Limited Resources:
–In emergency situations, resources such as medical supplies, food, and water are often limited. It is essential to ensure
these resources are distributed efficiently to areas in need.
–The scarcity of resources during emergencies poses a
significant challenge, as it requires careful planning and
coordination to ensure equitable distribution.
2.Traffic Congestion:
–Urban areas are susceptible to traffic congestion, which can significantly hinder emergency logistics delivery.
–Traffic congestion not only delays response times but also increases overall costs. Finding the most optimal delivery
routes is crucial to avoid congested areas and reach
destinations quickly.
3.Real-time Information:
–Real-time information on the situation and demand is vital in emergency logistics delivery.
–The ability to track and monitor the delivery process allows for better coordination and timely adjustments to ensure
efficient distribution.
Optimizing City Emergency Logistics Delivery Paths
1. Utilizing Geographic Information Systems (GIS)
Using GIS technology can greatly assist in optimizing city emergency logistics delivery paths. GIS maps can provide valuable information on road conditions, traffic congestion, and alternate routes, allowing for better decision-making in real-time. By integrating GIS into the logistics system, it becomes possible to identify the most efficient paths for delivering goods and resources during emergencies.
2. Implementing Dynamic Routing Algorithms
Dynamic routing algorithms, such as the Ant Colony Optimization (ACO) algorithm, can be utilized for optimizing emergency logistics delivery paths. These algorithms consider factors such as traffic conditions, road capacity, and delivery time windows to determine the most efficient routes. By constantly adjusting and updating routes based on real-time data, these algorithms can minimize delivery times and costs.
3. Establishing Emergency Distribution Centers
Establishing emergency distribution centers strategically throughout the city can facilitate swift and efficient logistics operations. These centers can act as hubs for storing emergency resources and can be equipped with advanced technologies for sorting and distribution. By strategically locating these centers, it becomes easier to reach affected areas quickly during emergencies.
4. Collaborating with Local Authorities and Organizations
Collaboration with local authorities, non-governmental organizations (NGOs), and other relevant stakeholders is crucial in optimizing city emergency logistics delivery paths. By working together, information sharing becomes more efficient, and resources can be better allocated based on demand. Collaborative efforts can also lead to the establishment of protocols and contingency plans that enhance overall responsiveness and effectiveness.
Conclusion
Optimizing city emergency logistics delivery paths is essential to ensure timely and efficient distribution of goods and resources in times of crises. By utilizing GIS technology, implementing dynamic routing algorithms, establishing emergency distribution centers, and promoting collaboration among various stakeholders, cities can overcome the challenges posed by limited resources and traffic congestion. Effective emergency logistics delivery plays a vital role in saving lives, reducing the impact of disasters, and ensuring the well-being of city residents.。