DocumentCode :
614752
Title :
Inventory management with supplier selection problem: Supply uncertainty
Author :
Aouadni, Sourour ; Rebai, Abdelwaheb
Author_Institution :
MODILS FSEG, Univ. of Sfax, Sfax, Tunisia
fYear :
2013
fDate :
28-30 April 2013
Firstpage :
1
Lastpage :
5
Abstract :
Supply uncertainty can have a very radical impact on firms who fail to protect against it. It appears that the quantity delivered by the supplier is random. In this paper, we develop a mixed integer non linear programming model for a mono-item multi-period inventory management decision and supplier selection problem under random yield. The yield of supplier is random. The buyer needs to answer three questions: how much to command? what is supplier selected? and in which period? The complexity of this problem is NP-hard. We used a genetic algorithm (GA) to solve this problem.
Keywords :
genetic algorithms; integer programming; inventory management; nonlinear programming; supply chain management; GA; NP-hard problem; genetic algorithm; mixed integer nonlinear programming model; mono-item multiperiod inventory management decision; random yield; supplier selection problem; supply uncertainty; Genetic algorithms; Inventory management; Linear programming; Sociology; Statistics; Stochastic processes; Uncertainty; Inventory lot-sizing; Mixed integer programming; Order quantities; Supplier Selection; Supply uncertainty; genetic algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modeling, Simulation and Applied Optimization (ICMSAO), 2013 5th International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-5812-5
Type :
conf
DOI :
10.1109/ICMSAO.2013.6552577
Filename :
6552577
Link To Document :
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