DocumentCode
2670201
Title
Network node’s dynamical location of remanufacturing reverse logistics under uncertain environment
Author
Bo, Yan ; Wan, Yu ; Guanxiang, Zhang
Author_Institution
Sch. of Econ. & Commerce, South China Univ. of Technol., Guangzhou
fYear
2008
fDate
16-18 July 2008
Firstpage
598
Lastpage
602
Abstract
Network node\´s location of reverse logistics becomes the foundation and prerequisite of high-quality operation of reverse logistics system, according to the quantity uncertainty of recovery products and the changing demands of remanufacturing "new" products, furthermore as time goes on the modes of its cost and income will alter, so we need to confirm a time-varying dynamical model of location. From the perspective of manufacturing enterprise, as former models didn\´t consider the combining elements of the changing time, the quantity of recovery products and the demands of "new" products. Therefore this text firstly forecasts the amount of recovery products and the demand with the use of time series flat method, introduces the predicted correct factor to raising the accuracy, then draws the conclusion using the static modal of location and utilizes the dynamic programming technology to find out a location formula of two-way logistics\´ sharing transport network with the target of maximizing accumulated total current profit of manufactory enterprise during the planning period.
Keywords
dynamic programming; recycling; reverse logistics; time series; dynamic programming; network node dynamic location; product remanufacturing; remanufacturing reverse logistics; time series flat method; time-varying dynamical model; Business; Costs; Economic forecasting; Electronic mail; Environmental economics; Reverse logistics; Technology forecasting; Time varying systems; Uncertainty; Virtual manufacturing; Dynamical location; Network node; Remanufacture; Reverse logistics; Time series flat method;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location
Kunming
Print_ISBN
978-7-900719-70-6
Electronic_ISBN
978-7-900719-70-6
Type
conf
DOI
10.1109/CHICC.2008.4605744
Filename
4605744
Link To Document