Task-Based DSM Model for Aircraft Heavy Maintenance Planning

Aircraft heavy maintenance (AHM) is frequently delayed due to the large number of maintenance tasks involved. This can lead to significant costs for airlines, as maintenance is the third highest annual operating cost. This paper presents a task-based DSM model for solving the complexity of AHM planning. The model uses DSM partitioning analysis to sequence AHM tasks. If coupled blocks are present after the sequencing analysis, the aggregation, decomposition, and tearing methods are used to resolve them. The task-based DSM model also uses heuristic priority rules to determine the priority of tasks and to allocate limited resources. The results of the study show that the developed task-based DSM model performs efficiently compared to the current method in terms of planning lead time and maintenance expected time.