关键词: 不确定环境, 混流装配生产, 最优配送区间, 动态周期配送, 遗传算法, eM-Plant仿真

Abstract: To make material distribution in workshop meet the trend of market demands such as multi-product,small batch and personalization,by analyzing the complexity and uncertainty of workshop environment,the distribution cost expectation model under uncertainty was established to determine the optimum distribution range.Combined with production line's characteristics,a dynamic material distribution strategy was designed.On the basis of this strategy,an optimization model was established with the goal of minimizing costs and maximizing load factor,and the constraints of material time requirements,line-side inventory volume and distribution path.A solving algorithm based on genetic algorithm was designed for this model.Aiming at the actual application,a simulation model based on eM-plant and experiments was built to simulate the traditional distribution strategy and the proposed distribution strategy respectively,and the result showed the effectiveness of the proposed strategy and model.

Key words: uncertain environment, mixed model assembly lines, optimum distribution range, dynamic cycle distribution, genetic algorithms, eM-Plant simulation