Prediction Recovery For Plastic Products In Reverse Logistics System

The status of the logistics industry has gradually emerged with the rapid development of China's socio-economic. Logistics system is gradually becoming part of their development of new economic growth point. The plastic waste pollution has become a major constraint on industrial development, one of its reverse logistics to optimize the integration of across the board. Therefore, it has become an important prerequisite for this focus on the research topic that plastic products reverse logistics demand analysis and forecasting of the study object of this decision. We put the amount recovered as a predictor's main focus because sales as a valuation considerations can be ignored.First of all, the paper analyzed the development of reverse logistics plastic products at home and abroad, logistics, demand analysis and forecasting methods and problems in the mainstream. Secondly, the paper carried out the operation of reverse logistics process design and analysis on the overall operation and recovery process a number of factors closely related to the amount of the size of factor. According to their information less incomplete information and uncertain characteristics of gray correlation analysis, incomplete information and uncertain system for the quantification and sequence between factor, and then to analyze the system to distinguish the main factors and secondary factors Recycling companies are doing a certain amount of treatment given to the guiding role. Combined with existing forecasting methods, as well as plastic products of reverse logistics own characteristics, has established an enterprise in the recovery of the amount of uncertainty evaluation of fuzzy gray theoretical prediction. Lastly, we applicate the model to calculate validate the logistics system requirements analysis and forecasting methods associated with scientific and practical.