In view of the uncertain demand， uncertain scheduling time， and uncertain path reliability in the scheduling of equipment maintenance and support resources in wartime， this paper quantifies the uncertain information by introducing triangular fuzzy numbers and constructs a multi-objective scheduling model. Specifically， the model aims to achieve the shortest scheduling time， highest path reliability， and lowest cost during the scheduling of maintenance and support resources. In addition， the method to determine the relative importance of each objective is given. The multi-objective model is transformed into a single-objective model by the minimax method， which is solved by LINGO software to obtain the optimal scheduling scheme of maintenance and support resources. Finally， a numerical example is introduced for analysis and calculation. The results show that the model is effective and has some reference value for the scheduling of equipment maintenance and support resources in wartime.