Improved-Layered-Marginal Algorithm to Optimize Initial Spare Part Configuration Project

Optimization of spare parts configuration project is critical for increasing support effectiveness as well as reducing equipment life cycle cost,but the spare parts model solution under the multi-echelon maintenance supply is a large scale and non-linear NP-hard problem,in order to improve the model algorithm's optimization efficiency.The initial spare parts inventory configuration model based on equipment availability is established and researched.According to the traditional marginal algorithm,the layered optimization method is introduced to improve the algorithm's optimization efficiency.The detailed design and optimization flow of the algorithm is given,and its calculation efficiency is analyzed in theory.The numerical result of the given example shows that the computation result of the improved layered marginal optimization algorithm is identical with the traditional algorithm,besides,the calculation efficiency increase nearly three times.The research results can provide a new idea for spare parts optimization method in engineering application.