DocumentCode :
498799
Title :
A model of stochastic inventory management with intellectual search method
Author :
Jun, Deng ; Shiji, Song ; Pengcheng, Ji ; Bo, Zhang
Author_Institution :
Sch. of Stat., Renmin Univ. of China, Beijing, China
Volume :
4
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
2038
Lastpage :
2043
Abstract :
Inventory cost model for sole product is investigated in stochastic environment. The logistics cost consists of holding cost, shortage cost and transportation cost. The stochastic lead-time of goods and stochastic arrival time of ships are simultaneously considered. Combining with the national well-known steel company´s oversea purchasing processing, we firstly propose a mathematical model to formulate this complex problems. The genetic algorithm is applied to solve this problem because of its complexity. The numerical examples are presented to illustrate the validity for solving this model with stochastic uncertainty.
Keywords :
costing; genetic algorithms; inventory management; logistics; purchasing; search problems; ships; steel manufacture; stochastic processes; transportation; warehousing; genetic algorithm; goods distribution; holding cost; intellectual search method; logistics cost; mathematical model; oversea purchasing processing; shortage cost; steel company; stochastic inventory management; transportation cost; warehouse; Costs; Genetic algorithms; Inventory management; Logistics; Marine vehicles; Mathematical model; Search methods; Steel; Stochastic processes; Transportation; Genetic algorithm; Inventory; Logistics cost; Stochastic arrival time; Stochastic lead-time;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212136
Filename :
5212136
Link To Document :
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