安庆分拨中心不同车轴车装载率数据

通过分析安庆分拨中心不同车轴车的装载率，结果应用到调度系统和在线绩效评估体系中。（1）用于不同省区，不同分拨的内控管理，将车辆装载率是否达到指定值作为内部车辆调度管理的重要的量化依据。（2）合理的规划车辆类型、运输路线和装载方案，提高单次运输的货物量，减少空驶和空载的情况，降低运输成本，提高整体运输效率。（3）通过对车辆装载率的监控和分析，可以发现运输过程中的浪费现象，并采取措施进行改进。（4）根据历史数据分析，预测未来的运输需求，合理调配车辆资源，避免资源闲置。（5）通过提高装载率提高运输效率，可以减少碳排放和其他污染物的排放，有助于实现绿色物流的目标。1、数据来源采集中通快运-汽运系统，数据驾驶舱平台，聚焦安庆分拨中心不同车轴数的重量装载率信息。包括车辆轴数，额定重量，实际重量，始发省区，始发分拨等核心字段。2、数据处理 （1）实际装载重量：对车辆状态进行筛查，区分在途运输和非运输。对车辆上货物称重获取每台车辆的实际装载重量。（2）额定装载重量：根据不同省区的车轴的车辆评估出额定装载重量。（3）实际装载率=实际装载重量/额定装载重量 （4）目标重量装载率：根据不同省区历史的运输情况，车辆安排情况采用分位算法确定不同省区车辆的目标装载率，从而降低运输成本，减少空驶和空载情况，辅助优化仓库的存储布局和货物出库安排。（5）对比实际重量装载率和目标装载率，分析偏差原因，制定改进方案，如调整装载方案和装载策略，调整运输路线，合并订单，与第三方物流合作，共享运输资源等，改进后持续对比分析。

By analyzing the loading rates of vehicles with different axle counts at Anqing Distribution Hub, the results are applied to the dispatching system and online performance evaluation system. (1) It supports internal control management across different provinces and distribution hubs, taking whether the vehicle loading rate reaches the specified value as an important quantitative basis for internal vehicle dispatching management. (2) It enables reasonable planning of vehicle types, transportation routes and loading plans, increasing the cargo volume per trip, reducing empty repositioning and no-load conditions, lowering transportation costs and improving overall transportation efficiency. (3) By monitoring and analyzing vehicle loading rates, waste in the transportation process can be identified and targeted improvement measures can be taken. (4) Based on historical data analysis, future transportation demand can be forecasted, and vehicle resources can be reasonably allocated to avoid resource idling. (5) Improving transportation efficiency by increasing loading rates can reduce carbon emissions and other pollutant discharges, contributing to the achievement of green logistics goals.

1. Data Source: Data is collected from ZTO Express - Motor Transport System and Data Cockpit Platform, focusing on the weight loading rate information of vehicles with different axle counts at Anqing Distribution Hub. Core fields include vehicle axle count, rated weight, actual weight, origin province, origin distribution hub and other key fields.

2. Data Processing: (1) Actual loading weight: Screen vehicle status to distinguish in-transit and non-transport vehicles, and obtain the actual loading weight of each vehicle by weighing the cargo on the vehicle. (2) Rated loading weight: Calculate the rated loading weight of vehicles with different axles based on the vehicle assessment of different provinces. (3) Actual loading rate = Actual loading weight / Rated loading weight (4) Target weight loading rate: Determine the target loading rate for vehicles in different provinces using quantile algorithm based on historical transportation conditions and vehicle arrangement of each province, so as to reduce transportation costs and empty repositioning/no-load conditions, and assist in optimizing warehouse storage layout and goods outbound arrangements. (5) Compare the actual weight loading rate with the target loading rate, analyze the causes of deviations, and formulate improvement plans, such as adjusting loading plans and strategies, adjusting transportation routes, consolidating orders, cooperating with third-party logistics, sharing transportation resources, etc., and conduct continuous comparative analysis after improvements.

搜集汇总

数据集介绍

特点

该数据集记录了安庆分拨中心不同车轴车的装载率信息，包括日期、始发省区、车辆轴数、额定重量、实际重量等关键字段，每日更新，用于优化车辆调度和运输效率。