关键词: 汽车发动机, 再制造, 批量生产计划, 异质需求, 不确定性, 遗传算法

Abstract: There were many core components which could be remanufactured in automobile engine. Aiming at this problem, hybrid production programming model was established with automobile engine manufacturing and remanufacturing under uncertain environment. In this model, heterogeneous demands for new and remanufactured products were taken into account, and the demand for remanufactured products could be also satisfied by new products when the remanufactured products didn't satisfy self demand. The discrete scene of known probability was used to describe new products uncertainty of demand ratio, operation cost and remanufacturing product rate respectively, and uncertain description of remanufacturing rate was improved by stochastic chance constrained programming. Genetic algorithm for solving this model was presented, and a case was employed to verify the effectiveness and validity for model and solving method.

Key words: automobile engine, remanufacturing, lot sizing production planning, heterogeneous demand, uncertainty, genetic algorithms