Multi-objective optimization model for multi-echelon spare parts supply system under uncertain circulation

The optimization of spare parts inventory for equipment support system is becoming a dominant support strategy, especially in the defense industry. Tremendous researches have been made to achieve optimal support performance of the supply system. However, the lack of statistical data brings limitations to these optimization models which are grounded on probability theory. And, the spare parts inventory optimization is aimed at obtaining optimal military and economic benefits. These goals often conflict with each other, and meantime they are also restricted with each other. This is exactly the embodiment of the characteristics for multi-objective optimization problem.