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In this paper, we present an efficient performance evaluation method of weapon equipment purchase based on support vector machine. Firstly, the concept of weapon equipment purchase performance evaluation was explained and the existing problems of weapon equipment purchase performance evaluation were analysed. Then, a 12-dimension performance evaluation indicator system was constructed (these dimensions are: budget progress, cost-benefit ratio, expenditures reduction rate, supplier satisfaction, purchaser satisfaction, customer satisfaction, purchase cycle rationality, qualification rate, price rationality, competition, success rate, and policy completeness). And lastly, a weapon equipment purchase performance evaluation model based on support vector machine was established, and a case analysis was conducted. The result provides a reference for building the indicator system and model for weapon equipment purchase performance evaluation and the research conclusion can help complete and improve the evaluation method.

Weapon equipment storage is an important part of weapon equipment supply support. In this paper, we analysed the related concepts of weapon equipment storage, introduced the ABC classification method, proposed the steps to construct the optimization model of the weapon equipment storage structure, studied the influencing factors of the weapon equipment storage structure, and constructed a storage structure optimization model based on the improved ABC classification. The optimal weapon equipment storage structure and strategy were obtained, and a case analysis was carried out. The research conclusions can provide reference for the practical work of weapon equipment storage.

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