2012 IEEE Eighth World Congress on Services (2012)
Honolulu, HI, USA USA
June 24, 2012 to June 29, 2012
This paper studies a predicting model of the reverse logistics and its application in beer bottle recycling process. The model is composed of long-term growth trend and seasonal variation where long-term growth trend is described by gray model and seasonal variation is described by seasonal index. The reverse logistics value chain is analyzed by RMM. Then this paper studies two recovery paths of the beer bottle and all links of paths which reveals the application scenarios of the predicting model of the reverse logistics. Some suggestions are put forward in the end.
long-term growth trend, gray model, reverse logistics, seasonal variation
L. Wang, L. Zhang, Y. Chen, W. Wang, W. Xiao and S. Wang, "Reverse Logistics Predicting Model and Its Application," 2012 IEEE Eighth World Congress on Services(SERVICES), Honolulu, HI, USA USA, 2012, pp. 399-406.