Abstract: Aiming at the difficulty in repairable aviation spares inventory optimization and scientific management, modified minimum variance control algorithm was introduced to repairable aviation spares inventory optimization. With audio control panel as the research subject and “maintenance production-inventory-aviation supplies complementarity” being viewed as a generalized physical system, combined with the uncertainty existing in the process of actual aviation supply loss, repairable aviation spares inventory control system model was established. By using minimum variance control strategy, and increasing the analytic hierarchy procedure, softness factor and extended predictive step length were estimated. Using Matlab-simulink, a simulation platform and achieve simulation research was built. The result shows that compared with the traditional minimum variance control, the performance effect of the improved control strategy is much better.

Key words: modified minimum variance control, repairable aviation spares inventory optimization, mathematics model, softness control, extended predictive step length