混流装配线车间内物料调度工位组划分优化法

基于准时制生产方式(JIT)提出对混流装配线进行工位组划分并安排配送车辆进行配送服务的优化方法.为保证混流装配线生产过程不发生缺料停产的情况,以配送车辆的承载能力与消耗工位配送时间窗为约束,配送车辆满载率与工位物料需求紧急程度为优化目标构建优化模型.运用遗传算法对模型进行求解,优化单个工作日总配送次数及配送车辆数量,给出配送工位组划分及车辆调度方案.最后,实例验证表明该方法具有可行性和有效性.

Station Groups Division of Material Dispatching System in Mixed Model Assembly Line

In the actual production process of mixed-flow assembly line, problems like low efficient distribution of materials and low utilization of distribution vehicles were caused by factors such as a wide range of parts, inconsistent proficiency of distribution personnel and so on. In this study, an optimization method is proposed based on JIT, to divide station group and arrange the distribution vehicles. In order to eliminate case that assembly line production process was shut down due to material shortage, with the capacity of distribution vehicles and distribution time-window as the constraint, a model is developed, taking the full load ratio of distribution vehicles and station material requirement urgency as the optimization goal. Genetic algorithm is used to solve the model to optimize the total number of daily deliveries, which consequently give the plan of distribution of work station groups and vehicle scheduling. At last, the feasibility and effectiveness of this method was proved by the verification of example.