The Optimization Of Scrapped Automobile Recycling On Reverse Logistics Network In Beijing Based On Robust Optimization

The development of scrapped automobile reverse logistics in China is backward compared with many European and American countries,such as the legal of scrapped automobile reverse logistics,the craft of scrapped automobile reverse logistics and the system management of scrapped automobile reverse logistics.As China's capital,Beijing,leading national economic development,is executing a lottery system to restrict cars,but car ownership is still growing,with each year there is a lot of scrapped automobile waiting for recycling and dismantling urgently.If scrapped automobiles do not get effective recovery and dismantling,not only will these problems cause environmental pollution and the waste of economic resources,but also pose a threat to people's personal and property security.This paper aims to solve the optimization problem of scrapped auto recycling on reverse logistics network in Beijing,through forecasting the amount of cars which will be scrapped in 2020.Using SPSS software,fit the data of scrapped automobiles from 2004 to 2014 in Beijing by curving fitting,and predict that the retain number of automobiles will be 8150000 and the number of scrapped automobiles will be 250000.Recently,the processing capacity of Beijing can't solve this problem.Considering the uncertainty of recovery,build robust model according to regret value constraint theory of robust.By Lingo programming,bringing data into the model to calculate,obtain the model optimization solutions,and optimize the scrapped automobile reverse logistics network in Beijing to ensure its reliability and stability.