Human resources allocation for aircraft maintenance with predefined sequence

There are always large-scale items in the maintenances schedule of aircraft system, many of which have been fixed to be done in predefined sequences, which leads the workflow to be sys-tematically complex and makes this kind of problem quite different from all sorts of existing job-selection modes. On the other hand, the human resources are always limited and men have different working capabilities on different items, which make the allocation operation of human resources be much roomy. However, the final total time span of maintenance is often required to be as short as possible in many practices, in order to suffer only the lowest cost of loss while the system is stopping. A new model for op-timizing the allocation if aircraft maintenance human resources with the constraint of predefined sequence is presented. The ge-netic algorithm is employed to find the optimal solution that holds the shortest total time span of maintenance. To generate the ul-timate maintenance work items and the human resource array, the sequences among all maintenance work items are considered firstly, the work item array is then generated through traversal with the constraint of maintenance sequence matrix, and the human resources are finally allocated according to the work item array with the constraint of the maintenance capability. An example is demonstrated to show that the model and algorithm behave a satisfying performance on finding the optimal solution as expected.

On the cultivation of psychological competence among aircraft maintenance major students

The strategy of a strong civil aviation country points out that China should be built into a strong civil aviation country with international competitiveness.Aircraft maintenance ensures the safety of aircraft and passengers,and plays a crucial role in the strategy of a strong civil aviation country.The arduous work situation in the aircraft maintenance industry greatly affects the psychological quality of aircraft maintenance practitioners.Aircraft maintenance students even develop a sense of fear and are unwilling to work in airlines and maintenance companies.Based on the current psychological status of aircraft maintenance students,this article proposes an implementation path to cultivate their competent psychological qualities.The cultivation of psychological competence among students majoring in aircraft maintenance needs to be carried out from multiple aspects.Through the joint efforts of family,school,and enterprise,we will ensure the mental health of students majoring in aircraft maintenance.Reduce anxiety and confusion among students majoring in aircraft maintenance through clear career planning.By simulating the work environment and content through practical courses and pre job training,we aim to improve the psychological competence of students majoring in aircraft maintenance.Exploring the cultivation path of psychological competence for aircraft maintenance students can help improve their psychological and skill levels,laying a solid foundation for their future career development.

Identifying strategic maintenance capacity for accidental damage occurrence in aircraft operations

Airline operators face accidental damages on their fleet of aircraft as part of operational practice.Individual occurrences are hard to predict;consequently,the approach towards repairing accidental damage is reactive in aircraft maintenance practice.However,by aggregating occurrence data and predicting future occurrence rates,it is possible to predict future long-term(strategic)demand for maintenance capacity.In this paper,a novel approach for integration of reliability modelling and inventory control is presented.Here,the concept of a base stock policy has been translated to the maintenance slot capacity problem to determine long-term cost-optimal capacity.Demand has been modelled using a superposed Non-homogeneous Poisson Process(NHPP).A case study has been performed on damage data from a fleet of Boeing 777 aircraft.The results prove the feasibility of adopting an integrated approach towards strategic capacity identification,using real-life data to predict future damage occurrence and associated maintenance slot requirements.