考虑期望体系效能衰减的舰艇编队等级修理计划优化

舰艇编队等级修理计划优化直接关系到各类战训任务的有效完成和修理经费的科学使用。基于“定期与'双控’相结合”修理模式, 考虑舰艇编队的体系化运用、舰艇效能衰减特性以及决策者期望和偏好, 运用前景理论综合构建舰艇编队期望体系效能模型, 进而以体系效能价值函数最大为目标, 以修理工期、跨期修理、修理经费、装备效能、在航率等为约束条件, 系统构建面向舰艇编队的等级修理计划优化模型, 最后运用基于混合编码的粒子群优化算法对模型进行求解。结果表明, 该方法相对传统的计划编制方法, 舰艇编队体系效能和分项效能更高, 舰艇使用与修理之间的关系协调更好, 对于科学编制舰艇编队等级修理计划, 确保舰艇编队战训任务有效完成能够提供有力的技术支撑。

Fleet level repair plan optimization considering expected system effectiveness attenuation

The fleet level repair plan optimization is directly related to the effective completion of various combat training tasks and the scientific use of maintenance cost. Based on a combined periodic and dual control repair model, considering the fleet system utilization, warship effectiveness attenuation characteristics and the expectations and preference of decision makers, the expectation effectiveness evaluation model of the fleet system is constructed by prospect theory. Further, the maximization of the fleet system effectiveness value function is as the objective, considering the constraints such as the maintenance period, inter-period repair, maintenance cost, equipment effectiveness and availability ratio, the fleet level repair plan optimization model is established. The mixed coding particle swarm optimization (PSO) algorithm is used to optimize the model. The results show that compared with the traditional method, this method has higher efficiency and itemized efficiency of fleet, and better coordination between warship use and maintenance. It can provide a strong technical support for the scientific preparation of fleet repair plan and the effective performance of naval missions.