Optimization of Automobile Reverse Logistics System Based on the Internet of Things

With the rapid development of the global economy, people's living standards continue to be improved, which makes automobile consumption demand increase continuously. However, a large number of sales will lead to many scrap automobiles. Faced with the serious problem, the reverse logistic in the automobile industry arises at the historic moment. But now the existing system of scrap automobile reverse logistics is still in a relatively primary stage and has not yet formed a comparatively perfect system, which has many disadvantages such as not harmonious mechanism, not unobstructed information, low efficiency and high cost. To sum up, the optimization study of reverse logistics system is imperative. This paper researches the optimization of automobile reverse logistics system based on the Internet of things by choosing the Internet of things as the introduction to technology, holding the scrapped automobiles as the research object, and citing the reverse logistics system as the research content. Thus solving the uncertainty and complexity effectively and eliminating the information barriers in the automobile reverse logistics and improving the efficiency of the automobile reverse logistics and reducing operating costs.