DocumentCode :
2348489
Title :
Decision-Making Models on Fixed-Quantity Recovery Considering the Repair Time
Author :
Yuan, Kaifu
Author_Institution :
Guizhou Key Lab. of Econ. Syst. Simulation, Guizhou Coll. of Finance & Econ., Guiyang, China
fYear :
2011
fDate :
15-19 April 2011
Firstpage :
1250
Lastpage :
1254
Abstract :
To determine the optimal ordering and recovering policy, a system which includes ordering and recovering operations is investigated. The demand of customers and the repair time is constant, and return products from customers are recovered when they are accumulated to a certainty quantity. Decision-making models are formulated to minimize the expected average cost, the sufficient conditions which make the expected average cost minimum are given, the solution procedure is developed to determine the optimal ordering and recovering policy by the elimination theory and the numeric computational method, and the models are validated by a numerical example. Compared with related literatures, the expected average cost is lower. The effect of repair time indicates that it is helpful to lower the expected average cost when the time to transform return products into serviceable products is delayed.
Keywords :
decision making; maintenance engineering; decision-making model; elimination theory; fixed-quantity recovery; numeric computational method; optimal ordering; recovering policy; repair time; sufficient condition; Biological system modeling; Computational modeling; Convex functions; Decision making; Economics; Maintenance engineering; Reverse logistics; fixed-quantity recovey; inventory; ordering; repair time; serviceable products;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
Conference_Location :
Yunnan
Print_ISBN :
978-1-4244-9712-6
Electronic_ISBN :
978-0-7695-4335-2
Type :
conf
DOI :
10.1109/CSO.2011.114
Filename :
5957879
Link To Document :
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