Civil aeroengine workscope decision-making under uncertain conditions.

To reduce maintenance cost and improve performance after a shop visit, a decision-making method for civil aeroengine workscope under uncertain condition is proposed. Firstly, aeroengine overall performance restoration value for each module's maintenance level is expressed as a trapezoidal fuzzy number, and then a fuzzy chance constrained programming model on module performance restoration value distribution optimization is put forward under uncertain condition. Secondly, the chance constraint of the model is transformed into a clear equivalence class. It is found that this model and the optimization model of module performance restoration value distribution under certain condition have the same structure. Thus, the solving method of the model with certain condition is adopted to achieve the model with uncertainty condition. Finally, the proposed method is validated by a real example. The result shows that the proposed method can solve decision-making problem for aeroengine maintenance workscope under uncertainty condition; the reasonable confidence level for the chance constraint of the model is essential to the decision-making result, and could be determined according to the risk of achieving the repair objectives and maintenance cost. [ABSTRACT FROM AUTHOR]