Title :
Notice of Retraction
Genetic algorithm for the multi-echelon inventory problem of weapon equipment repairable spare parts
Author :
Fanggeng Zhao ; Sun Jiangsheng ; Zhang Lianwu ; Ma Zhenshu
Author_Institution :
Ordnance Technol. Res. Inst., Ordnance Eng. Coll., Shijiazhuang, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The multi-echelon inventory control of weapon equipment repairable spare parts is an important problem for equipment support. In this paper, a genetic algorithm for the multi-inventory problem of repairable spare parts was proposed. In the genetic algorithm, a suitable chromosome representation for multi-inventory problem was presented, and the crossover and mutation operators were investigated. To improve the performance, a local search procedure, including two heuristic methods, was implemented and integrated into the algorithm. Computational experiments clearly show that our proposed algorithm can effectively solve the multi-inventory problem of repairable spare parts.
Keywords :
diffraction gratings; genetic algorithms; inventory management; maintenance engineering; military equipment; weapons; chromosome representation; crossover operator; genetic algorithm; multiechelon inventory problem; mutation operator; weapon equipment repairable spare part; Investments; Weapons; genetic algorithm; multi-echelon inventory problem; repairable spare parts;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5565161
