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

摘要： 为使生产车间的物料配送环节适应当前多品种小批量生产和个性化市场的需求,从分析生产车间环境的复杂性和不确定性入手,通过建立不确定环境下的配送成本期望模型,确定了物料的最佳配送区间;结合混流装配生产线的特点,设计了基于动态周期的物料配送策略;基于该策略,建立了以最小化配送成本和最大化满载率为目标,物料需求时间和线边库存容积以及行进路径为约束的优化模型,并针对该模型的设计了基于遗传算法的求解算法。最后,针对实际应用场景,通过eM-plant软件搭建仿真模型,分别模拟传统的配送策略和所设计的配送策略,对比结果验证了本文所提策略的优越性和有效性。

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