三层三级民机修理级别经济性分析模型的改进

现代民机产品普遍采用模块化设计，具有多层次特点，相应的维修场所也表现为多个维修级别。现有修理级别分析（LORA）模型在移级维修和报废时，可能存在父单元与其内部封装子单元成本重复累加的问题。引入跟随行为矩阵，对子单元中因父单元层级约束而做出的决策进行标记，能有效地避免父单元与子单元成本被重复计算。在此基础上，考虑实际维修活动中无故障发现事件（NFF）、二次维修等人为因素对LORA决策的影响，建立适用于民机的修理级别分析模型，较已有模型更加真实地反映决策的预计成本，提高了决策的可信度和工程适用性。最后使用混合惩罚函数法将原问题转化为等价的无约束优化问题，采用改进的二进制粒子群算法（BPSO）对多故障模式下的三层三级案例进行仿真优化，验证了该经济性分析模型的合理性和求解算法的有效性。

Improvement of economical analysis model with three-indenture and three-echelon for civil aircraft repair level

Modular design is widely used in modern civil aircraft products. It has multi-indenture characteristics, and its corresponding maintenance sites are also divided into multi-echelon maintenance levels. When the existing repair level analysis model is moved or discarded, it may have the problem of repeated accumulation of the cost of module and its internal packaging subunit. In this paper, the following behavior matrix is introduced to mark the decisions made by the hierarchy constraints of the parent unit, which can effectively avoid the repeated calculation of the costs of the parent-unit and the child-unit. On this basis, the influences of human factors such as No Fault Found (NFF) event and secondary maintenance on LORA’s decision aere considered when building the repair level analysis model suitable for civil aircraft. Compared with the existing model, the proposed model can more accurately reflect the estimated cost of decision-making more truly, not only improving the credibility of the decision but also increasing the applicability of the project. Finally, the mixed penalty function method is used to transform the original problem into an equivalent unconstrained optimization problem. An improved Binary Particle Swarm Optimization (BPSO) algorithm is used to simulate and optimize the three-indenture and three-echelon case with multi-fault mode. The results verified the rationality of the economic analysis model and the effectiveness of the algorithm.