A spares optimization model for deployable U.S. Marine Corps units
Abstract
The U.S. Marine Corps deploys Marine Air-Ground Task Forces (MAGTFs) by airlift or sealift to participate in numerous short-term exercises. These exercises are of such duration that resupply of the MAGTF by strategic airlift or sealift is not practical. Thus, only stocked spare parts are available for repairs during the exercise. A model is developed which provides the operational commander with a stockage policy for spare secondary reparables (e.g., tank engines, amtrack transmissions, etc.) that optimizes the probability of successful mission completion subject to weight or volume constraints imposed by the MAGTF's mode of deployment. Optimization of this stockage policy is stochastically modeled using data from the Marine Corps Integrated Maintenance Management System data base and then solved as an integer computer program. The integer program is coded using the Generalized Algebraic Modeling System (GAMS) language and solved using the Zero/One Optimization Methods mixed integer program solver. Operational data for a Marine Amphibious Unit yields an integer program with 190 binary variables and 26 constraints. A solution within 0.07% of optimality is obtained on an IBM 3033AP computer in 3.9 seconds and on a Zenith Z-248 personal computer in 176 seconds
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