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作 者:李爱平[1] 张燕红[1] 郭海涛 徐立云[1] LI Aiping ZHANG Yanhong GUO Haitao Xu Liyun(Modern Manufacturing Technology Research Institute, Tongji University, Shanghai 201804, China)
机构地区:[1]同济大学现代制造技术研究所,上海201804
出 处:《同济大学学报(自然科学版)》2017年第8期1191-1197,共7页Journal of Tongji University:Natural Science
基 金:上海市科委(上海市科技成果转化和产业化)项目(15111105500)
摘 要: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.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.
关 键 词:混流装配线 物料调度 准时制生产方式(JIT) 工位组划分 满载率 遗传算法
分 类 号:TH162[机械工程—机械制造及自动化]
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