DocumentCode
1840966
Title
An (s,S) inventory control model with return flows
Author
Wang, Meijie ; Di, Weimin
Author_Institution
Sch. of Environ. & Municipal Eng., North China Univ. of Water Resources & Electr. Power, Zhengzhou, China
Volume
1
fYear
2011
fDate
13-15 May 2011
Firstpage
328
Lastpage
331
Abstract
With the growth of environmental concerns, the reuse of used products has received increasing attention so that a new field “reverse logistics” has emerged. To improve inventory management performance of reverse logistics, an (s,S) inventory control model is presented comprising random demands and returns. For this model, an optimal control policy is derived, optimal control parameters are computed and the solving steps are described in detail. Moreover, probability distributions of net demands in two different situations, namely dependent and independent Poisson demands and returns, are calculated respectively, and applications of the model in these situations are carefully illustrated. Experimental study shows that the optimal parameters in independent situation are often smaller than that in dependent situation, so it is meaningful to analyze the relationships of item demands and returns in real-life practice in order to design a suitable inventory strategy.
Keywords
Poisson distribution; environmental management; inventory management; optimal control; reverse logistics; stock control; (s,S) inventory control model; Poisson demands; Poisson returns; environmental growth; inventory management; optimal control policy; probability distributions; reverse logistics; Computational modeling; Inventory control; Mathematical model; Procurement; Random variables; Reverse logistics; inventory control policy; inventory management; reverse logistics; stochastic optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Business Management and Electronic Information (BMEI), 2011 International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-61284-108-3
Type
conf
DOI
10.1109/ICBMEI.2011.5916940
Filename
5916940
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