智慧物流背景下的供需匹配问题初探

Preliminary Study on Supply and Demand Matching under the Background of Smart Logistics

近年来,随着中国经济快速发展,在物联网、互联网、大数据地推动下,传统物流转型为智慧物流已然成为社会趋势。然而在整个物流活动中还存在着车辆满载率低、车辆与货物匹配率低、整个物流活动运转周期长等长期制约我国物流业发展的瓶颈问题。本文主要介绍了智慧物流的概念及智慧物流体系框架,分析我国物流供需匹配现状,并对北京某大型水果蔬菜批发市场进行实地调研,通过对车辆运输、物品装卸、信息流通、车货匹配等方面的深入了解,梳理了国内物流领域在信息互联互通方面的典型问题,从而提出物流供需匹配度的概念,科学地给出物流供需匹配度的计算模型,从智慧物流角度探讨提升物流供需匹配水平的理论和方法。

In recent years,with the rapid development of China's economy,driven by the Internet of things,Internet and big data,the transformation of traditional logistics into smart logistics has become a social trend.However,in the whole logistics activities,there are still some bottleneck problems that restrict the development of China's logistics industry for a long time,such as low load rate of vehicles,low matching rate of vehicles and goods,and long operation cycle of the whole logistics activities.This paper mainly introduces the concept of intelligent logistics and wisdom logistics system framework,the analysis of current logistics match between supply and demand in our country,and a large fruit and vegetable wholesale market in Beijing field investigation,through to the transportation vehicles,goods loading and unloading,information flow,the deep understanding of the car goods match,etc,in the field of combed the domestic logistics information connectivity problems of typical problems,and puts forward the concept of logistics demand and supply matching degree,scientifically the calculation model of logistics demand and supply matching degree,in order to enhance the level of logistics demand and supply matching were discussed from wisdom logistics point of view of the theory and method.