Lead-acid battery has gradually become the worlds’ largest and the most widely used chemical production power, and has been widely used in transportation, communication, electric power and other industries. As the world’s largest battery manufacture and exporter country, lead-acid battery production of China has accounted for one third of the world. However, as a big country for lead-acid battery production and consumption, the recycling of lead-acid battery situation in our country is not optimistic. A perfect recycling system has not yet formed, and its battery recovery rate and utilization rate are low. In view of the current situation of lead battery recycling in China, therefore, a research on building reverse logistics of lead battery is of great practical value.Based on the background above, combined with the reverse logistics process of used lead battery recycling, the reverse logistics center location selection problem was studied. Based on the research of reverse logistics, from the levels of consumption, recycling, processing and application, the structure of lead battery reverse logistics was analyzed. Considering the original forward logistics network expansion for two situations which are sharing forward/reverse logistics network and rebuilding reverse logistics network separately, the reverse logistics operation mode was studied, and the reverse logistics network was designed. Then the lead battery reverse logistics center location selection procedures and steps were put forward, by considering the reverse logistics center location principles and other factors. On this basis, the used lead battery recycling reverse logistics center location model contains four types of network nodes, which are battery production enterprises, recycling outlets, recycling center and processing center. Meantime, the recycling outlets include forward/reverse integration network shared by sales and recycling, and the recycling centers include forward/reverse integration centers shared by delivery and recycling. By decomposing the model into location decision-making and flow distribution and using genetic algorithm, a real case study was simulated with the MATLAB software, and finally proving the effectiveness of rationality of the model built. |