Configuration optimization methods for multi-echelon and multi-constraints spare parts based on dynamic demands

To achieve quick and precise support, configuration optimization methods for multi-echelon spare parts of aviation material basic combat unit considering uncertainly demands and multi-constraints are studied. Selecting availability as comprehensive measurement parameter, availability modeling methods based on dynamic mission are proposed at first, which conclude spare parts demand models considering dynamic mission and instantaneous availability models and mission availability models for two-echelon spare parts support. Moreover, from economic efficiency and deploy flexibility, multi-constraints spare parts configuration optimization models are constructed considering cost, weight and volume. And the characteristics of objective function are analyzed. Solving arithmetic and flow of multi-constraints optimization models are given based on Lagrange duality theory. Finally, an example is provided to verify the validity of the models. The study can provide technological means for scientific configuration of basic combat unit multi-echelon spares parts, and at the same time, serve as theoretical support for effectively improving support availability of aviation material basic combat unit.