Title :
Optimal Model for Multi-Echelon Inventory System Based on GAAA Algorithms
Author :
Li, Cheng ; Xie, Jun ; Wang, Hangyu
Author_Institution :
Sch. of Electron. Eng., Naval Univ. of Eng., Wuhan
Abstract :
The dominant models for inventory control of repairable items, both in the literature and in practical applications, are based on the assumption of infinite or ample repair capacity. However this assumption is not accurate in practice. In this paper, a two-echelon inventory system of repairable items is studied, which has finite repair capacity. Regarding the number of repair bench at depot as one of performance measures, an optimal model for this system is put forward. Discrete event simulation is used to describe the process of multi-echelon inventory system with emergency lateral transshipment, and then Performance measures of multi-echelon inventory system are obtained. Genetic algorithm-Ant algorithm (GAAA algorithms) is utilized to get the optimal performance measures. Last, an example is given and the result shows the feasibility of the model.
Keywords :
genetic algorithms; inventory management; maintenance engineering; discrete event simulation; emergency lateral transshipment; genetic algorithm-ant algorithm; inventory control; multiechelon inventory system; repair capacity; repairable items; Algorithm design and analysis; Computational intelligence; Costs; Design engineering; Discrete event simulation; Genetics; Inventory control; Lagrangian functions; Mathematical model; Optimization methods;
Conference_Titel :
Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3311-7
DOI :
10.1109/ISCID.2008.14