Reverse logistics cost prediction Based on BP neural network

Author

Liu, Jianchang ; Wei, Wenjing ; Gu, Xiaojie

Author_Institution

Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing, China

fYear

2011

fDate

8-10 Aug. 2011

Firstpage

5139

Lastpage

5141

Abstract

The reverse logistics cost forecast is the basis of reverse logistics cost control, and the key link related to the success of reverse logistics management. The factors that influence reverse logistics cost are complicated and numerous. The paper begins with analysis of the composition of reverse logistics, introduces the relations between reverse logistics cost and its influence factors, builds the reverse logistics cost prediction Based on BP neural network. An empirical study was carried out on a product of a company. Then simulates the model by Matlab and acquires good forecasting results. It is expected to provide some reference for enterprises to implement reverse logistics cost management.

Keywords

backpropagation; neural nets; reverse logistics; BP neural network; Matlab; reverse logistics cost forecast; reverse logistics cost prediction; reverse logistics management; Buildings; Computational modeling; Economics; Educational institutions; Mathematical model; Predictive models; Reverse logistics; BP neural network; cost forecast; reverse logistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on

Conference_Location

Deng Leng

Print_ISBN

978-1-4577-0535-9

Type

conf

DOI

10.1109/AIMSEC.2011.6010268

Filename

6010268