基于聚类分析的城市区域轴辐式物流网络设计
Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach
摘要：
本研究的目的是提出有效的建模和方法，设计一个物流网络在城市地区，以提供一个有效的流量分配网络的竞争战略，在物流行业的需求是敏感的价格和时间。引入了一种多阶段的方法来选择集线器的数量和分配辐条到集线器的流量分配和集线器的位置检测。具体而言，采用模糊聚类模型，目标函数为最小化近似运输成本，在下一阶段，重点是在领域专家的帮助下平衡枢纽之间的需求能力，然后，在网络内的设施定位车辆路径问题。为了证明该方法的优点，在所设计的网络和其实际运输成本的实际运营数据，其中具体到胡志明市的基础设施条件进行了实验。此外，我们显示的灵活性，设计的网络中的流量分配和计算实验开发的管理见解，有助于网络设计决策过程。
英文摘要：
This study aims to propose effective modeling and approach for designing a logistics network in the urban area in order to offer an efficient flow distribution network as a competitive strategy in the logistics industry where demand is sensitive to both price and time. A multi-stage approach is introduced to select the number of hubs and allocate spokes to the hubs for flow distribution and hubs' location detection. Specifically, a fuzzy clustering model with the objective function is to minimize the approximate transportation cost is employed, in the next phase is to focus on balancing the demand capacity among the hubs with the help of domain experts, afterward, the facility location vehicle routing problems within the network is introduced. To demonstrate the approach's advantages, an experiment was performed on the designed network and its actual transportation cost for the real operational data in which specific to the Ho Chi Minh city infrastructure conditions. Additionally, we show the flexibility of the designed network in the flow distribution and its computational experiments to develop the managerial insights which contribute to the network design decision-making process.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
