Abstract:

In modern battlefield environment, the demand for military spare parts is uncertain because of high uncertainty in battlefield. In the same time, the broken parts in battlefield can be remanufactured into new ones in time, and used to satisfy the demand together with the parts delivered from backside. This supply pattern can both satisfy the demand in time and reduce the costs for delivery and store. New challenges are brought for the optimization of military spare parts supply, as the remanufacturing rate for the broken parts is usually uncertain. The supply planning problem for multiples military spare parts is studied with the consideration of uncertainties from demand and remanufacturing. A mathematical model is presented to formulate the problem, and the Lagrangian relaxed approach is developed to solve the model. Randomly generated examples with different sizes are used to test the effectiveness and robustness of the solution approach.