Aiming at the low quality of the solution obtained with the traditional marginalanalysisalgorithm for solving multi-level inventory optimisation problem of repairable spare parts, a hybrid algorithm integrating part...
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Aiming at the low quality of the solution obtained with the traditional marginalanalysisalgorithm for solving multi-level inventory optimisation problem of repairable spare parts, a hybrid algorithm integrating particle swarm optimisation, marginal analysis algorithm-metric model and tabu search is proposed. In the early stage of the hybrid algorithm, particle swarm optimisation is used to explore the global solution space and in the later stage, tabu search is used to local search, and the marginalanalysisalgorithm is used to constructing neighbourhood. The experimental results show that the proposed algorithm can solve the problem of spare parts multi-level inventory optimisation effectively and efficiently.
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