DocumentCode :
3218785
Title :
An inventory model with stochastic lead-time and stochastic demand
Author :
Deng, Jun ; Song, Shiji ; Ji, Pengcheng ; Zhang, Bo
Author_Institution :
Sch. of Stat., Renmin Univ. of China, Beijing, China
fYear :
2010
fDate :
9-11 June 2010
Firstpage :
1778
Lastpage :
1782
Abstract :
In this paper, the periodic review stochastic inventory control problem is investigated where the logistics cost consists of holding costs, shortage costs and ordering costs. The goal is to coordinate a sequence of orders of a single commodity, aiming to supply stochastic demands over a discrete finite horizon with minimum expected costs. Under some assumptions, the convexity of the cost function is proved and the global optimal solution can be given by explicit form. Finally, the numerical examples are presented to illustrate the validity for solving this model using Simulated Annealing algorithm.
Keywords :
demand forecasting; simulated annealing; stochastic processes; stock control; discrete finite horizon; logistic cost; periodic review stochastic inventory control problem; simulated annealing algorithm; stochastic demand; stochastic lead-time; Automation; Cost function; Dynamic programming; Function approximation; Inventory control; Lot sizing; Predictive models; Random variables; Simulated annealing; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation (ICCA), 2010 8th IEEE International Conference on
Conference_Location :
Xiamen
ISSN :
1948-3449
Print_ISBN :
978-1-4244-5195-1
Electronic_ISBN :
1948-3449
Type :
conf
DOI :
10.1109/ICCA.2010.5524275
Filename :
5524275
Link To Document :
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