Title :
Reverse Logistics Predicting Model and Its Application
Author :
Wang, Li ; Zhang, Liang-Jie ; Chen, Yuejun ; Wang, Wei ; Xiao, Weiwei ; Wang, Susheng
Author_Institution :
Kingdee Res., Kingdee Int. Software Group Co. Ltd., Shenzhen, China
Abstract :
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.
Keywords :
beverages; prediction theory; recycling; reverse logistics; RMM; beer bottle recycling process; gray model; long-term growth trend; reverse logistics prediction model; reverse logistics value chain; seasonal index; seasonal variation; Analytical models; Autoregressive processes; Data models; Mathematical model; Predictive models; Reverse logistics; gray model; long-term growth trend; reverse logistics; seasonal variation;
Conference_Titel :
Services (SERVICES), 2012 IEEE Eighth World Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4673-3053-4
DOI :
10.1109/SERVICES.2012.39
