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
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