중국 자동차 산업의 역물류 네트워크 최적화에 관한 연구

Abstract

Reverse logistics network design is a strategic level of decision-making, and the recovery process of abandoned vehicles is inseparable from the support of a complete reverse logistics network. Against the backdrop of the green economy and the circular economy, this study designed a waste vehicle reverse logistics network under two constraints: carbon tax policy and carbon transaction market policy, respectively, and established a multi-purpose mixed integer linear plan model to minimize carbon emissions and costs. In addition, using a Chinese automobile manufacturer as an example, the results of the model of maximizing economic effects (i.e., minimizing costs) and maximizing environmental effects by conducting case verification and using lingo 11.0 are as follows. First, the cost of transportation using pure electric vehicles under the same carbon emission policy is lower than using fuel cars. Second, under the two carbon policies, carbon trading policies have a better emission reduction effect and lower network operating costs. Third, we found that transactional carbon constraints help companies reduce costs and reduce carbon emissions, and help shape long-term, even image-oriented, corporate behavior. By analyzing the optimization of China's waste vehicle reverse logistics network, this study promotes the sustainable and sound development of Chinese waste vehicle recovery companies and realizes the double benefits of the economic environment. There is a certain significance in the research and practice of developing reverse logistics activities in academia