Study on intelligent maintenance and support of naval gun weapons

DOI:	10.11809/bqzbgcxb2023.07.018
Keywords:	maintenance and support; PHM; naval guns; equipment supply; integer programming; SOA
Abstract:	With the largest number in use among all weapon equipment, naval guns are the most frequently used on surface ships. In the past, preventive maintenance was the main maintenance method, supplemented by emergency repair. As a result, “insufficient maintenance” and “excess maintenance” are prone to occur at the same time, which leads to high maintenance costs. Based on the demand of lean management in the era of intelligent warfare, this study proposes an intelligent maintenance and support system for naval gun weapon equipment based on the situational supply of maintenance resources, and establishes an optimization decision making model for the allocation supply of regional naval gun weapon equipment with the goal of the shortest support period and the lowest support cost. The discrete Seagull Optimization Algorithm (SOA) is introduced to solve the problem. The simulation results show that the model algorithm can effectively provide an optimized supply scheme, which has certain advantages in convergence speed and optimization effect.
Published:	2023-07-28
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