Army composite operational unit is the smallest tactical unit for systematic combat operations. The assessment and analysis of its combat efficiency are urgent issues to be addressed in military studies. This article focuses on the application of data envelopment analysis （DEA） and Malmquist Productivity Index in the evaluation of combat unit's combat efficiency. It constructs the DEA-Malmquist evaluation model for combat units and utilizes the dynamic and concise advantages of the Malmquist index to evaluate the efficiency and dynamic changes of different combat units in multiple combat stages based on input-output data. The analysis， evaluation process， methods， and conclusions of this study can provide valuable references and insights for the construction and utilization of composite operational units and the military application of Malmquist productivity index.

With the continuous development of electronic information technology， the integration and complexity of radar products are increasing， and the materials delivered by the product are difficult to guide the user to troubleshoot the product failures comprehensively and effectively. Furthermore， in the process of product usage， a large amount of fault data have not been effectively utilized. The data-based rapid troubleshooting technology for radar products uses a large amount of usage data of radar products as the main input， using hierarchical reasoning to aggregate search technology models， starting with the hierarchical structure of radar products， analyzing the relationship between functional failures and system failures， and using the propagation path of the directed graph to form a fault correlation matrix. Based on the fault correlation matrix， the technology infers effective troubleshooting strategies through the input of fault phenomena and other data， and forms guidance documents in the form of troubleshooting guides to guide users to quickly locate faults， solve problems， and improve uses’ own troubleshooting capability.