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A sound warship spare parts allotment optimization project is the result of cost efficient tradeoff between multi-constraints and optimal objective. In the conventional Warship spare parts allotment optimization models, the operational availability and the mean waiting time for spares and expect back order are always the target, but these parameters are rarely used by the domestic use department and model development unit to confirm the warship spare parts allotment project. In order to solve all the problems which are mentioned above, firstly, objective function and constraint conditions are analyzed; Secondly, an optimized model of the probability spare guarantee is built, Lagrange and marginal algorithm are applied to build the warship spare parts allotment optimization model and process optimization; Once more, the resource factors are being confirmed and dynamically updated; Finally, in the given example, by analyzing the results of the case, the feasibility of the proposed method is verified. [ABSTRACT FROM AUTHOR]