DocumentCode :
479707
Title :
Stochastic inventory control model with manufacturing and remanufacturing hybrid system
Author :
Fan, Wenji ; Ru, Yihong ; Wang, Yacan ; Yao, Changcheng
Author_Institution :
Economic & Manage. Sch., Beijing Jiaotong Univ., Beijing
Volume :
1
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
1268
Lastpage :
1271
Abstract :
In recent decades, for the pressure of the environmental legislations, the economical interesting and the conscious of environment, many producers have to take their products back after used. The product tack back (PTB) program would bring economic burden to the producers, while many of the returned products have economic value and could be remanufactured to satisfy the market demand. Inventory management is an essential area in the remanufacturing process. In this paper, we extend the traditional EOQ model to a stochastic EOQ inventory model for product remanufacture. We assume that the return is an independent Poisson process and derive the exact expression of expected average total cost under this strategy. By means of numerical simulation, we find the optimal control parameter under different situation and investigate the effects of different cost parameters on costs.
Keywords :
costing; environmental legislation; manufactured products; manufacturing processes; recycling; stochastic processes; stock control; supply and demand; costing; environmental legislation; independent Poisson process; inventory management; manufacturing hybrid system; market demand; optimal control parameter; product tack back program; remanufacturing hybrid system; returned products; stochastic inventory control model; Cost function; Environmental economics; Inventory control; Inventory management; Legislation; Numerical simulation; Optimal control; Stochastic processes; Stochastic systems; Virtual manufacturing; cycle length cost; inventory control; remanufacture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2012-4
Electronic_ISBN :
978-1-4244-2013-1
Type :
conf
DOI :
10.1109/SOLI.2008.4686594
Filename :
4686594
Link To Document :
بازگشت