Title :
Optimization of Multi-level Inventory of Random Demand Based on Co-evolutionary Genetic Algorithms
Author :
Guo-xiang, Niu ; Yong-jun, Ruan ; Le-Qing, Wang ; Wei Wei
Author_Institution :
Inst. of Ordnance Technol. Res., Shijiazhuang, China
Abstract :
Considering a random feature can be found on the demand of ordnance maintenance material, Under the hypothesis that the ordering police of both campaign storage and tactical warehouses is of periodical inspection, the mathematic models of optimizing periodical inspection interval and order quantity at the same time are established and solved using co-evolutionary genetic algorithm, An example verifies the effectiveness of the models and algorithm.
Keywords :
evolutionary computation; genetic algorithms; inventory management; police; random processes; campaign storage; coevolutionary genetic algorithms; mathematic models; order quantity optimization; ordering police; ordnance maintenance material; periodical inspection multilevel interval optimization; random demands; tactical warehouses; Encoding; Genetic algorithms; Optimization; Safety; Sociology; Statistics; Vectors; Co-evolutionary genetic algorithm; Multi-echelon inventory; Random demand;
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
DOI :
10.1109/ICICEE.2012.534
